Repository: DmitryRyumin/AAAI-2024-Papers Branch: main Commit: 604b680c24bc Files: 76 Total size: 4.5 MB Directory structure: gitextract_v9_t1iaz/ ├── .flake8 ├── .github/ │ └── workflows/ │ ├── copy_parse_markdown.yml │ ├── parse_markdown.yml │ └── sync_papers_with_hf.yml ├── .gitignore ├── CODE_OF_CONDUCT.md ├── LICENSE ├── README.md ├── code/ │ └── markdown_to_json_parser.py ├── json_data/ │ └── 2024/ │ └── main/ │ ├── 1001_1200.json │ ├── 1201_1400.json │ ├── 1401_1600.json │ ├── 1601_1800.json │ ├── 1801_2000.json │ ├── 1_200.json │ ├── 2001_2100.json │ ├── 2001_2119.json │ ├── 2001_2140.json │ ├── 2001_2157.json │ ├── 2001_2191.json │ ├── 2001_2200.json │ ├── 201_400.json │ ├── 2201_2224.json │ ├── 2201_2246.json │ ├── 401_600.json │ ├── 601_800.json │ ├── 801_1000.json │ ├── application_domains.json │ ├── computer_vision.json │ ├── constraint_satisfaction_and_optimization.json │ ├── data_mining_and_knowledge_management.json │ ├── game_theory_and_economic_paradigms.json │ ├── humans_and_ai.json │ ├── intelligent_robots.json │ ├── knowledge_representation_and_reasoning.json │ ├── machine_learning.json │ ├── multiagent_systems.json │ ├── natural_language_processing.json │ ├── philosophy_and_ethics_of_ai.json │ ├── planning_routing_and_scheduling.json │ ├── reasoning_under_uncertainty.json │ ├── safe_robust_and_responsible_ai.json │ ├── search_and_optimization.json │ └── сognitive_modeling_and_cognitive_systems.json ├── scripts/ │ ├── compare_files.sh │ ├── show_file_content.sh │ └── update_repo.sh └── sections/ └── 2024/ └── main/ ├── 1001_1200.md ├── 1201_1400.md ├── 1401_1600.md ├── 1601_1800.md ├── 1801_2000.md ├── 1_200.md ├── 2001_2200.md ├── 201_400.md ├── 2201_2246.md ├── 401_600.md ├── 601_800.md ├── 801_1000.md ├── application_domains.md ├── computer_vision.md ├── constraint_satisfaction_and_optimization.md ├── data_mining_and_knowledge_management.md ├── game_theory_and_economic_paradigms.md ├── humans_and_ai.md ├── intelligent_robots.md ├── knowledge_representation_and_reasoning.md ├── machine_learning.md ├── multiagent_systems.md ├── natural_language_processing.md ├── philosophy_and_ethics_of_ai.md ├── planning_routing_and_scheduling.md ├── reasoning_under_uncertainty.md ├── safe_robust_and_responsible_ai.md ├── search_and_optimization.md └── сognitive_modeling_and_cognitive_systems.md ================================================ FILE CONTENTS ================================================ ================================================ FILE: .flake8 ================================================ ; https://www.flake8rules.com/ [flake8] max-line-length = 120 ignore = E203, E402, E741, W503 ================================================ FILE: .github/workflows/copy_parse_markdown.yml ================================================ name: Copy Parse Markdown and Generate JSON from Source Repo on: workflow_dispatch: inputs: source_repo: description: 'Source repository name' required: true default: 'DmitryRyumin/NewEraAI-Papers' source_file_path: description: 'Path to the file in the source repository' required: true default: 'code/markdown_to_json_parser.py' code_directory: description: 'Directory where code is stored' required: true default: 'code' display_file_contents: description: 'Whether or not to display the contents of the doanload file and the destination file' required: true default: 'false' type: choice options: - true - false schedule: - cron: '30 23 * * *' jobs: copy-code: runs-on: ubuntu-latest permissions: contents: write env: INPUT_SOURCE_REPO: ${{ github.event.inputs.source_repo || 'DmitryRyumin/NewEraAI-Papers' }} INPUT_SOURCE_FILE_PATH: ${{ github.event.inputs.source_file_path || 'code/markdown_to_json_parser.py' }} INPUT_CODE_DIRECTORY: ${{ github.event.inputs.code_directory || 'code' }} INPUT_DISPLAY_FILE_CONTENTS: ${{ github.event.inputs.display_file_contents || 'false' }} steps: - name: Checkout repository uses: actions/checkout@v4 continue-on-error: true # Continue with the workflow even if the checkout fails with: ref: ${{ github.event.before || 'main' }} - name: Set SOURCE_FILE_PATH run: | echo "SOURCE_FILE_PATH=${{ github.workspace }}/${{ env.INPUT_CODE_DIRECTORY }}/markdown_to_json_parser_new.py" >> $GITHUB_ENV - name: Set SOURCE_DESTINATION_FILE_PATH run: | echo "SOURCE_DESTINATION_FILE_PATH=${{ github.workspace }}/${{ env.INPUT_SOURCE_FILE_PATH }}" >> $GITHUB_ENV - name: Define show_file_content function run: echo 'source ${{ github.workspace }}/scripts/show_file_content.sh' > show_file_content_step.sh - name: Download source file run: | if mkdir -p "${{ github.workspace }}/${{ env.INPUT_CODE_DIRECTORY }}"; then echo "Directory created successfully or already existed." else echo "Failed to create directory." exit 1 fi source_url="https://raw.githubusercontent.com/${{ env.INPUT_SOURCE_REPO }}/main/${{ env.INPUT_SOURCE_FILE_PATH }}" if curl -o "${{ env.SOURCE_FILE_PATH }}" "$source_url"; then echo "Source file downloaded successfully." else echo "Failed to download source file." exit 1 fi - name: Display content of the downloaded source file run: | set -e source show_file_content_step.sh show_file_content "${{ env.SOURCE_FILE_PATH }}" "${{ env.INPUT_DISPLAY_FILE_CONTENTS }}" - name: Display content of destination file from target repository run: | set -e source show_file_content_step.sh show_file_content "${{ env.SOURCE_DESTINATION_FILE_PATH }}" "${{ env.INPUT_DISPLAY_FILE_CONTENTS }}" - name: Compare and handle files run: | set -e handle_equal_files() { echo "Files are equal. Deleting SOURCE_FILE_PATH." if rm "${{ env.SOURCE_FILE_PATH }}"; then echo "SOURCE_FILE_PATH deleted successfully." else echo "Failed to delete SOURCE_FILE_PATH." exit 1 fi } handle_unequal_files() { echo "Files are not equal. Replacing SOURCE_DESTINATION_FILE_PATH with content from SOURCE_FILE_PATH." if cat "${{ env.SOURCE_FILE_PATH }}" > "${{ env.SOURCE_DESTINATION_FILE_PATH }}"; then echo "SOURCE_DESTINATION_FILE_PATH replaced successfully." rm "${{ env.SOURCE_FILE_PATH }}" else echo "Failed to replace SOURCE_DESTINATION_FILE_PATH." exit 1 fi } handle_missing_destination() { echo "SOURCE_DESTINATION_FILE_PATH does not exist. Renaming SOURCE_FILE_PATH to SOURCE_DESTINATION_FILE_PATH." if [ -f "${{ env.SOURCE_FILE_PATH }}" ] && [ -f "${{ env.SOURCE_DESTINATION_FILE_PATH }}" ]; then if mv "${{ env.SOURCE_FILE_PATH }}" "${{ env.SOURCE_DESTINATION_FILE_PATH }}"; then echo "Files renamed successfully." else echo "Failed to rename files." exit 1 fi else echo "One or both of the files do not exist." fi } if [ -f "${{ env.SOURCE_DESTINATION_FILE_PATH }}" ]; then if cmp -s "${{ env.SOURCE_DESTINATION_FILE_PATH }}" "${{ env.SOURCE_FILE_PATH }}"; then handle_equal_files else handle_unequal_files fi else handle_missing_destination fi - name: Display working code directory content run: | ls -al "${{ github.workspace }}/${{ env.INPUT_CODE_DIRECTORY }}" - name: Auto commit changes uses: stefanzweifel/git-auto-commit-action@v5 with: commit_message: 'Copy Parse Markdown and Generate JSON from Source Repo' env: PAPER_TOKEN: ${{ secrets.PAPER_TOKEN }} - name: Set output status run: echo "status=${{ steps.parse.outcome }}" >> $GITHUB_ENV ================================================ FILE: .github/workflows/parse_markdown.yml ================================================ name: Parse Markdown and Generate JSON on: schedule: - cron: '0 0 * * *' # 00:00 UTC workflow_dispatch: jobs: parse_markdown: runs-on: ubuntu-latest steps: - name: Checkout repository uses: actions/checkout@v4 - name: Set up Python uses: actions/setup-python@v5 with: python-version: 3.10.11 - name: Install Node.js uses: actions/setup-node@v4 with: node-version: '20' - name: Install dependencies run: | python -m pip install --upgrade pip pip install bs4 markdown2 prettytable PyGithub flake8 black continue-on-error: true - name: Run Flake8 (Linting) run: flake8 code/ - name: Check code formatting run: black --check code/ - name: Run Markdown Parser id: parse run: python code/markdown_to_json_parser.py working-directory: ${{ github.workspace }} continue-on-error: true env: PAPER_TOKEN: ${{ secrets.PAPER_TOKEN }} - name: Upload JSON files uses: actions/upload-artifact@v4 with: name: json_data path: ${{ github.workspace }}/json_data - name: Set output status run: echo "status=${{ steps.parse.outcome }}" >> $GITHUB_ENV ================================================ FILE: .github/workflows/sync_papers_with_hf.yml ================================================ name: Sync Hugging Face App on: schedule: - cron: '0 4 * * *' # 04:00 UTC workflow_dispatch: jobs: sync-hf: runs-on: ubuntu-latest permissions: contents: write env: HF_USERNAME: 'DmitryRyumin' HF_REPO: 'NewEraAI-Papers' LOCAL_DIR: 'NewEraAI-Papers' HF_TOKEN: ${{ secrets.HUGGINGFACE_TOKEN }} JSON_DATA_PATH: 'json_data/2023/CVPR' UPDATE_REPO_SH: 'update_repo.sh' COMPARE_FILES_SH: 'compare_files.sh' EMAIL: 'dl_03.03.1991@mail.ru' steps: - name: Checkout repository uses: actions/checkout@v4 continue-on-error: true # Continue with the workflow even if the checkout fails with: ref: ${{ github.event.before || 'main' }} - name: Install Git LFS run: | if ! command -v git-lfs &> /dev/null; then echo "Git LFS is not installed. Installing ..." sudo apt-get install git-lfs fi git lfs install - name: Install colordiff run: | if ! command -v colordiff &> /dev/null; then echo "colordiff is not installed. Installing ..." sudo apt-get install colordiff fi - name: Set REMOTE_URL run: | echo "REMOTE_URL=https://${{ env.HF_USERNAME }}:${{ env.HF_TOKEN }}@huggingface.co/spaces/${{ env.HF_USERNAME }}/${{ env.HF_REPO }}" >> $GITHUB_ENV - name: Clone Hugging Face Repository run: | GIT_LFS_SKIP_SMUDGE=1 git clone --quiet --branch=main --single-branch --depth=1 "$REMOTE_URL" "${{ env.LOCAL_DIR }}" continue-on-error: true - name: Display cloned directory contents run: | ls -al "${{ github.workspace }}/${{ env.LOCAL_DIR }}/${{ env.JSON_DATA_PATH }}" - name: Make scripts executable run: | chmod +x ${{ github.workspace }}/scripts/${{ env.UPDATE_REPO_SH }} chmod +x ${{ github.workspace }}/scripts/${{ env.COMPARE_FILES_SH }} - name: Define scripts run: | echo 'source ${{ github.workspace }}/scripts/${{ env.UPDATE_REPO_SH }}' > ${{ env.UPDATE_REPO_SH }} echo 'source ${{ github.workspace }}/scripts/${{ env.COMPARE_FILES_SH }}' > ${{ env.COMPARE_FILES_SH }} chmod +x ${{ github.workspace }}/${{ env.UPDATE_REPO_SH }} chmod +x ${{ github.workspace }}/${{ env.COMPARE_FILES_SH }} - name: Compare and update files run: bash ${{ env.COMPARE_FILES_SH }} "${{ github.workspace }}/json_data" "${{ github.workspace }}/${{ env.LOCAL_DIR }}/${{ env.JSON_DATA_PATH }}" - name: Update repository and commit run: bash ${{ env.UPDATE_REPO_SH }} "${{ github.workspace }}/${{ env.LOCAL_DIR }}/${{ env.JSON_DATA_PATH }}" "${{ env.EMAIL }}" "${{ env.HF_USERNAME }}" "${{ env.JSON_DATA_PATH }}" "${{ env.HF_USERNAME }}" "${{ env.HF_TOKEN }}" "${{ env.HF_REPO }}" finalize: runs-on: ubuntu-latest needs: sync-hf steps: - name: Output completion time run: echo "Workflow completed at [$(date '+%Y-%m-%d %H:%M:%S')]" - name: Set output status run: | if [ ${{ needs.sync-hf.result }} == 'success' ]; then echo "status=success" >> $GITHUB_ENV else echo "status=failure" >> $GITHUB_ENV fi ================================================ FILE: .gitignore ================================================ # Compiled source # ################### *.com *.class *.dll *.exe *.o *.so *.pyc # Packages # ############ # it's better to unpack these files and commit the raw source # git has its own built in compression methods *.7z *.dmg *.gz *.iso *.rar #*.tar *.zip # Logs and databases # ###################### *.log *.sqlite # OS generated files # ###################### .DS_Store ehthumbs.db Icon Thumbs.db .tmtags .idea .vscode tags vendor.tags tmtagsHistory *.sublime-project *.sublime-workspace .bundle # Byte-compiled / optimized / DLL files __pycache__/ *.py[cod] *$py.class # C extensions *.so # Distribution / packaging .Python build/ develop-eggs/ dist/ downloads/ eggs/ .eggs/ lib/ lib64/ parts/ sdist/ var/ wheels/ pip-wheel-metadata/ share/python-wheels/ *.egg-info/ .installed.cfg *.egg MANIFEST node_modules/ # PyInstaller # Usually these files are written by a python script from a template # before PyInstaller builds the exe, so as to inject date/other infos into it. *.manifest *.spec # Installer logs pip-log.txt pip-delete-this-directory.txt # Unit test / coverage reports htmlcov/ .tox/ .nox/ .coverage .coverage.* .cache nosetests.xml coverage.xml *.cover .hypothesis/ .pytest_cache/ # Translations *.mo *.pot # Django stuff: *.log local_settings.py db.sqlite3 db.sqlite3-journal # Flask stuff: instance/ .webassets-cache # Scrapy stuff: .scrapy # Sphinx documentation docs/_build/ # PyBuilder target/ # Jupyter Notebook .ipynb_checkpoints # IPython profile_default/ ipython_config.py # pyenv .python-version # pipenv # According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. # However, in case of collaboration, if having platform-specific dependencies or dependencies # having no cross-platform support, pipenv may install dependencies that don't work, or not # install all needed dependencies. #Pipfile.lock # celery beat schedule file celerybeat-schedule # SageMath parsed files *.sage.py # Environments .env .venv env/ venv/ ENV/ env.bak/ venv.bak/ # Spyder project settings .spyderproject .spyproject # Rope project settings .ropeproject # mkdocs documentation /site # mypy .mypy_cache/ .dmypy.json dmypy.json # Pyre type checker .pyre/ # Custom *.pdf /*.sh /*.py local_json_data/ ================================================ FILE: CODE_OF_CONDUCT.md ================================================ # Code of Conduct ## Our Pledge In the interest of fostering an open and welcoming environment, we as contributors and maintainers pledge to make participation in our project and our community a harassment-free experience for everyone, regardless of age, body size, disability, ethnicity, sex characteristics, gender identity and expression, level of experience, education, socio-economic status, nationality, personal appearance, race, religion, or sexual identity and orientation. ## Our Standards Examples of behavior that contributes to creating a positive environment include: * Using welcoming and inclusive language * Being respectful of differing viewpoints and experiences * Gracefully accepting constructive criticism * Focusing on what is best for the community * Showing empathy towards other community members Examples of unacceptable behavior by participants include: * The use of sexualized language or imagery and unwelcome sexual attention or advances * Trolling, insulting/derogatory comments, and personal or political attacks * Public or private harassment * Publishing others' private information, such as a physical or electronic address, without explicit permission * Other conduct which could reasonably be considered inappropriate in a professional setting ## Our Responsibilities Project maintainers are responsible for clarifying the standards of acceptable behavior and are expected to take appropriate and fair corrective action in response to any instances of unacceptable behavior. Project maintainers have the right and responsibility to remove, edit, or reject comments, commits, code, wiki edits, issues, and other contributions that are not aligned to this Code of Conduct, or to ban temporarily or permanently any contributor for other behaviors that they deem inappropriate, threatening, offensive, or harmful. ## Scope This Code of Conduct applies within all project spaces, and it also applies when an individual is representing the project or its community in public spaces. Examples of representing a project or community include using an official project e-mail address, posting via an official social media account, or acting as an appointed representative at an online or offline event. Representation of a project may be further defined and clarified by project maintainers. This Code of Conduct also applies outside the project spaces when there is a reasonable belief that an individual's behavior may have a negative impact on the project or its community. ## Enforcement Instances of abusive, harassing, or otherwise unacceptable behavior may be reported by contacting the project team at . All complaints will be reviewed and investigated and will result in a response that is deemed necessary and appropriate to the circumstances. The project team is obligated to maintain confidentiality with regard to the reporter of an incident. Further details of specific enforcement policies may be posted separately. Project maintainers who do not follow or enforce the Code of Conduct in good faith may face temporary or permanent repercussions as determined by other members of the project's leadership. ## Attribution This Code of Conduct is adapted from the [Contributor Covenant][homepage], version 1.4, available at [homepage]: https://www.contributor-covenant.org For answers to common questions about this code of conduct, see ================================================ FILE: LICENSE ================================================ MIT License Copyright (c) 2024 Dmitry Ryumin Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. ================================================ FILE: README.md ================================================

AAAI-2024-Papers

General Information Awesome Conference Version License: MIT
Repository Size and Activity GitHub repo size GitHub commit activity (branch)
Contribution Statistics GitHub contributors GitHub closed issues GitHub issues GitHub closed pull requests GitHub pull requests
Other Metrics GitHub last commit GitHub watchers GitHub forks GitHub Repo stars Visitors
GitHub Actions Copy Parse Markdown and Generate JSON from Source Repo
Parse Markdown and Generate JSON
Sync Hugging Face App
Application App
Progress Status
Main
--- AAAI 2024 Papers: Explore a comprehensive collection of innovative research papers presented at [*AAAI 2024*](https://aaai.org/aaai-conference/), one of the premier artificial intelligence conferences. Seamlessly integrate code implementations for better understanding. ⭐ experience the forefront of progress in artificial intelligence with this repository!

AAAI 2024

--- > [!TIP] > [*The PDF version of the AAAI 2024 Conference Programme*](https://aaai.org/wp-content/uploads/2024/02/AAAI-24_Main_2024-02-01.pdf), includes a comprehensive table listing all accepted full papers in the main track. --- Other collections of the best AI conferences

App

> [!important] > Conference table will be up to date all the time.
Conference Year
2023 2024
Computer Vision (CV)
CVPR
ICCV  
ECCV
WACV :heavy_minus_sign:  
FG :heavy_minus_sign:
Speech/Signal Processing (SP/SigProc)
ICASSP
INTERSPEECH  
ISMIR   :heavy_minus_sign:
Natural Language Processing (NLP)
EMNLP
Machine Learning (ML)
AAAI :heavy_minus_sign:
ICLR :heavy_minus_sign:
ICML :heavy_minus_sign:
NeurIPS :heavy_minus_sign:
--- ## Contributors

> [!NOTE] > Contributions to improve the completeness of this list are greatly appreciated. If you come across any overlooked papers, please **feel free to [*create pull requests*](https://github.com/DmitryRyumin/AAAI-2024-Papers/pulls), [*open issues*](https://github.com/DmitryRyumin/AAAI-2024-Papers/issues) or contact me via [*email*](mailto:neweraairesearch@gmail.com)**. Your participation is crucial to making this repository even better. --- ## Papers App > [!important] > Sorting papers by category in progress.
Section Papers
Main
Application Domains Papers Preprints Open Code Videos
Cognitive Modeling and Cognitive Systems Papers Preprints Open Code Videos
Computer Vision Papers Preprints Open Code Videos
Constraint Satisfaction and Optimization Papers Preprints Open Code Videos
Data Mining and Knowledge Management Papers Will soon be added
Game Theory and Economic Paradigms Papers
Humans and AI Papers Preprints Open Code Videos
Intelligent Robots Papers Preprints Open Code Videos
Knowledge Representation and Reasoning Papers Will soon be added
Machine Learning Papers
Multiagent Systems Papers
Natural Language Processing Papers
Philosophy and Ethics of AI Papers
Planning, Routing, and Scheduling Papers
Reasoning under Uncertainty Papers
Safe, Robust and Responsible AI Papers
> [!important] > Papers will be sorted by category as soon as the [*proceedings*](https://aaai.org/aaai-publications/aaai-conference-proceedings/) are available.
Section Papers
Main
1-200 papers Papers Preprints Open Code Videos
201-400 papers Papers Preprints Open Code Videos
401-600 papers Papers Preprints Open Code Videos
601-800 papers Papers Preprints Open Code Videos
801-1000 papers Papers Preprints Open Code Videos
1001-1200 papers Papers Preprints Open Code Videos
1201-1400 papers Papers Preprints Open Code Videos
1401-1600 papers Will soon be sorted
1601-1800 papers
1801-2000 papers
2001-2200 papers
2201-2246 papers
--- ## Key Terms > Will soon be added --- ## Star History

Star History Chart

================================================ FILE: code/markdown_to_json_parser.py ================================================ # The code is importing necessary modules for the script to work: import os import shutil import re import json from pathlib import Path from bs4 import BeautifulSoup import markdown2 from prettytable import PrettyTable from github import Github, InputGitTreeElement, InputGitAuthor from urllib.parse import urlsplit, urlunsplit, urlparse, urlunparse, parse_qs class FileUpdate: def __init__(self, path, content): self.path = path self.content = content repo_full_name = os.getenv("GITHUB_REPOSITORY") if repo_full_name: owner, repo_name = repo_full_name.split("/") else: owner, repo_name = None, None class Config: GITHUB_TOKEN = os.getenv("INPUT_PAPER_TOKEN") or os.getenv("PAPER_TOKEN") GITHUB_WORKSPACE = os.getenv("GITHUB_WORKSPACE", "/github/workspace") MARKDOWN_DIRECTORY = "sections" OUTPUT_DIRECTORY = "json_data" MARKDOWN_DIRECTORY_LOCAL = Path("./sections").resolve() OUTPUT_DIRECTORY_LOCAL = Path("./local_json_data").resolve() REPO_OWNER = owner REPO_NAME = repo_name COMMIT_MESSAGE = "Update files" def print_colored_status(status): color_codes = {"No table": 91, "Success": 92, "Error": 91} color_code = color_codes.get(status, 0) # Default to red color if not found return f"\033[{color_code}m{status}\033[0m" if color_code else status def print_colored_count(count, label): color_code = 91 # Default to red color for No table and Errors if label == "Success" and count > 0: color_code = 92 # Green color for Success elif label in ["No table", "Errors"] and count == 0: color_code = 92 # Green color for No table or Errors when count is 0 return f"\033[{color_code}m{count}\033[0m" def is_digits(string): pattern = r"^\d+$" return bool(re.match(pattern, string)) if string else False def clear_directory(directory): path = Path(directory) for item in path.iterdir(): try: if item.is_file(): item.unlink() elif item.is_dir(): shutil.rmtree(item) except Exception as e: print(f"Error while deleting {item}: {e}") def get_github_repository(): github_token = Config.GITHUB_TOKEN if not github_token: print("GitHub token not available. Exiting.") return None, None g = Github(github_token) return g, g.get_user(Config.REPO_OWNER).get_repo(Config.REPO_NAME) def update_branch_reference(repo, commit_sha): try: repo.get_git_ref(f"heads/{repo.default_branch}").edit(commit_sha) except Exception as e: print(f"Error updating branch reference: {e}") def commit_and_update_branch(g, repo, latest_commit, tree): try: committer = InputGitAuthor( name=g.get_user().name, email=g.get_user().email, ) commit = repo.create_git_commit( message=Config.COMMIT_MESSAGE, tree=tree, parents=[latest_commit], committer=committer, author=committer, ) # Update the branch reference to the new commit print(f"Old Branch SHA: {repo.get_branch(repo.default_branch).commit.sha}") print( f"Current Branch Protection: {repo.get_branch(repo.default_branch).protected}" ) update_branch_reference(repo, commit.sha) print(f"New Branch SHA: {repo.get_branch(repo.default_branch).commit.sha}") print("Files updated successfully.") except Exception as e: print(f"Error updating files: {e}") def has_file_changed(repo, file_path, new_content, branch_name): try: contents = repo.get_contents(file_path, ref=branch_name) existing_content = contents.decoded_content.decode("utf-8") return existing_content != new_content except Exception as e: print(f"Exception in has_file_changed: {e}") print(f"File Path: {file_path}") return True def create_git_tree_elements(file_updates): return [ InputGitTreeElement( path=update.path, mode="100644", type="blob", content=update.content ) for update in file_updates ] def update_repository_with_json(file_updates): g, github_repo = get_github_repository() if not github_repo: return if not file_updates: print("No changes detected. Exiting.") return # Check if each file has changed updated_files = [ file_update for file_update in file_updates if has_file_changed( github_repo, file_update.path, file_update.content, github_repo.default_branch, ) ] print("All files:", [file_update.path for file_update in file_updates]) if not updated_files: print("No changes detected. Exiting.") return print("Updated files:", [file_update.path for file_update in updated_files]) # Get the latest commit latest_commit_sha = github_repo.get_branch(github_repo.default_branch).commit.sha latest_commit = github_repo.get_git_commit(sha=latest_commit_sha) # Create a tree with the updates tree_elements = create_git_tree_elements(updated_files) tree = github_repo.create_git_tree(tree_elements, base_tree=latest_commit.tree) print(f"Latest Commit SHA: {latest_commit.sha}") print(f"New Tree SHA: {tree.sha}") commit_and_update_branch(g, github_repo, latest_commit, tree) def find_common_prefix(urls): if not urls or not all(urls): return "" first_parts = urlsplit(urls[0]) common_prefix = f"{first_parts.scheme}://{first_parts.netloc}" path_prefix = first_parts.path for url in urls[1:]: parsed_url = urlsplit(url) if ( parsed_url.scheme != first_parts.scheme or parsed_url.netloc != first_parts.netloc ): common_prefix = f"{parsed_url.scheme}://{parsed_url.netloc}" break current_path = parsed_url.path common_prefix_len = 0 for i in range(min(len(path_prefix), len(current_path))): if path_prefix[i] == current_path[i]: common_prefix_len += 1 else: break path_prefix = path_prefix[:common_prefix_len] common_prefix = common_prefix.rstrip("/") parsed_url = urlparse(common_prefix) parsed_url = parsed_url._replace(scheme="") url_without_https = urlunparse(parsed_url) url_without_slashes = url_without_https.lstrip("/") return urlunsplit(("https", url_without_slashes, path_prefix, "", "")) def extract_relative_url(full_url, base_url): if full_url.startswith(base_url): trimmed_title_page = full_url[len(base_url) :] return trimmed_title_page else: return full_url def extract_video_id(url): VIDEO_NOT_FOUND = { "youtube": None, "drive": None, "dropbox": None, "onedrive": None, "loom": None, } try: if not url: return VIDEO_NOT_FOUND parsed_url = urlparse(url) if "youtube.com" in parsed_url.netloc or "youtu.be" in parsed_url.netloc: video_id = parse_qs(parsed_url.query).get("v", [None])[ 0 ] or parsed_url.path.lstrip("/") if video_id: return { "youtube": video_id, "drive": None, "dropbox": None, "onedrive": None, "loom": None, } else: return VIDEO_NOT_FOUND elif "drive.google.com" in parsed_url.netloc: return { "youtube": None, "drive": url, "dropbox": None, "onedrive": None, "loom": None, } elif "dropbox.com" in parsed_url.netloc: return { "youtube": None, "drive": None, "dropbox": url, "onedrive": None, "loom": None, } elif "onedrive.com" in parsed_url.netloc: return { "youtube": None, "drive": None, "dropbox": None, "onedrive": url, "loom": None, } elif "loom.com" in parsed_url.netloc: return { "youtube": None, "drive": None, "dropbox": None, "onedrive": None, "loom": url, } return VIDEO_NOT_FOUND except Exception: return VIDEO_NOT_FOUND def extract_hub_info(url): if not url: return None try: username, repo_name = urlparse(url).path.strip("/").split("/")[-2:] return f"{username}/{repo_name}" if username and repo_name else None except Exception: return None def parse_paper_links(html): links = html.find_all("a") final_link = None ieee_id = None arxiv_id = None pdf_link = None hal_link = None researchgate_link = None amazonscience_link = None for link in links: href = link.get("href", "") img = link.img img_alt = img.get("alt", "").lower() if img else "" if "thecvf" in img_alt: final_link = href elif "ieee xplore" in img_alt: ieee_id = urlsplit(href).path.split("/")[-1] elif "arxiv" in img_alt and "arxiv.org" in href: arxiv_id = urlsplit(href).path.split("/")[-1] elif "pdf" in img_alt: pdf_link = href elif "hal science" in img_alt: hal_link = href elif "researchgate" in img_alt: researchgate_link = href elif "amazon science" in img_alt: amazonscience_link = href return { "final": final_link, "ieee_id": ieee_id, "arxiv_id": arxiv_id, "pdf": pdf_link, "hal": hal_link, "researchgate": researchgate_link, "amazonscience": amazonscience_link, } def extract_paper_data(paper_section, columns): title_column = columns[0] # title = title_column.get_text(strip=True) title = ( title_column.a.encode_contents().decode("utf-8") if title_column.a is not None else ( title_column.encode_contents().decode("utf-8") if title_column.get_text(strip=True) is not None else None ) ) title = re.sub(r"<(?:br\s*/?>|img[^>]*>)", "", title) title = title.strip() html_entities = { "&": "&", "<": "<", ">": ">", """: '"', "'": "'", } title = re.sub( r"(&\w+;)", lambda x: html_entities.get(x.group(0), x.group(0)), title ) title_link = title_column.find("a") title_page = title_link["href"] if title_link else None if title and any(column.find("a") for column in columns[1:]): links = columns[1].find_all("a") web_page_link = next( (a for a in links if "page" in a.img.get("alt", "").lower()), None, ) web_page = ( web_page_link["href"] if web_page_link and "web" in web_page_link.img.get("alt", "").lower() else None ) github_page = ( web_page_link["href"] if web_page_link and "github" in web_page_link.img.get("alt", "").lower() else None ) github_link = next( (a for a in links if a.img.get("alt", "").lower() == "github"), None, ) github = ( github_link["href"] if github_link and "github" in github_link.img.get("alt", "").lower() else None ) github_info = extract_hub_info(github) gitlab_link = next( (a for a in links if a.img.get("alt", "").lower() == "gitlab"), None, ) gitlab = ( gitlab_link["href"] if gitlab_link and "gitlab" in gitlab_link.img.get("alt", "").lower() else None ) gitlab_info = extract_hub_info(gitlab) modelscope_link = next( (a for a in links if a.img.get("alt", "").lower() == "modelscope"), None, ) modelscope = ( modelscope_link["href"] if modelscope_link and "modelscope" in modelscope_link.img.get("alt", "").lower() else None ) gitee_link = next( (a for a in links if a.img.get("alt", "").lower() == "gitee"), None, ) gitee = ( gitee_link["href"] if gitee_link and "gitee" in gitee_link.img.get("alt", "").lower() else None ) demo_link = next( ( a for a in links if any( keyword in a.img.get("alt", "").lower() for keyword in ["hugging face", "hf"] ) ), None, ) demo_page = demo_link["href"] if demo_link else None colab_link = next( (a for a in links if "open in colab" in a.img.get("alt", "").lower()), None, ) colab = colab_link["href"] if colab_link else None zenodo_link = next( (a for a in links if "zenodo" in a.img.get("alt", "").lower()), None, ) zenodo = zenodo_link["href"] if zenodo_link else None kaggle_link = next( (a for a in links if "kaggle" in a.img.get("alt", "").lower()), None, ) kaggle = kaggle_link["href"] if kaggle_link else None ( paper_thecvf, paper_ieee_id, paper_arxiv_id, paper_pdf, paper_hal, paper_researchgate, paper_amazon, ) = parse_paper_links(columns[2]).values() video_link = columns[3].find("a") video = video_link["href"] if video_link else None ( video_id_youtube, video_drive, video_dropbox, video_onedrive, video_loom, ) = extract_video_id(video).values() base_url = None if title_page and paper_thecvf: urls = [title_page, paper_thecvf] common_prefix = find_common_prefix(urls) base_url = common_prefix.rstrip("/") title_page = extract_relative_url(title_page, base_url) paper_thecvf = extract_relative_url(paper_thecvf, base_url) ieee_id = None if is_digits(paper_ieee_id): ieee_id = paper_ieee_id paper_data = { "title": title, "base_url": base_url, "title_page": title_page, "ieee_id": ieee_id, "github": github_info, "web_page": web_page, "github_page": github_page, "colab": colab, "modelscope": modelscope, "gitee": gitee, "gitlab": gitlab_info, "zenodo": zenodo, "kaggle": kaggle, "demo_page": demo_page, "paper_thecvf": paper_thecvf, "paper_arxiv_id": paper_arxiv_id, "paper_pdf": paper_pdf, "paper_hal_science": paper_hal, "paper_researchgate": paper_researchgate, "paper_amazon": paper_amazon, "youtube_id": video_id_youtube, "drive_google": video_drive, "dropbox": video_dropbox, "onedrive": video_onedrive, "loom": video_loom, "section": paper_section, } return paper_data else: return None def process_markdown_file( markdown_file, output_directory, counter, table, success_count, no_table_count, error_count, file_updates, ): common_ancestor = Path( *Path(markdown_file) .resolve() .parts[: len(Path(output_directory).resolve().parts)] ) relative_path = Path( *Path(markdown_file).resolve().parts[len(common_ancestor.resolve().parts) :] ) json_filename = output_directory.joinpath(relative_path.with_suffix(".json")) try: with open(markdown_file, "r", encoding="utf-8") as file: markdown_content = file.read() markdown_content = re.sub(r"", "", markdown_content, flags=re.DOTALL) html_content = markdown2.markdown( text=markdown_content, html4tags=True, extras=["tables"] ) soup = BeautifulSoup(html_content, "html.parser") table_in_file = soup.find_all("table")[-1] paper_section = soup.find("h2").text papers = [] if table_in_file: for row in table_in_file.find_all("tr")[1:]: columns = row.find_all("td")[-4:] paper_data = extract_paper_data(paper_section, columns) if paper_data: papers.append(paper_data) if len(papers) == 0: table.add_row( [counter, markdown_file.name, print_colored_status("No table")] ) no_table_count[0] += 1 else: json_filename.parent.mkdir(parents=True, exist_ok=True) with open(json_filename, "w", encoding="utf-8") as file: json.dump(papers, file, ensure_ascii=False, indent=2) table.add_row( [ counter, os.path.basename(json_filename), print_colored_status("Success"), ], ) json_content = json.dumps(papers, ensure_ascii=False, indent=2) file_updates.append( FileUpdate( path=f"json_data/{relative_path.with_suffix('.json')}", content=json_content, ) ) success_count[0] += 1 except Exception as e: table.add_row( [ counter, os.path.basename(json_filename), print_colored_status(f"Error: {e}"), ], ) error_count[0] += 1 return table, file_updates, success_count, no_table_count, error_count def main(): # Check if running in GitHub Actions in_actions = os.getenv("GITHUB_ACTIONS") == "true" or os.getenv("CI") == "true" # Define the paths based on the environment if in_actions: # Define the paths using the GitHub workspace markdown_directory = Path(Config.GITHUB_WORKSPACE) / Config.MARKDOWN_DIRECTORY output_directory = Path(Config.GITHUB_WORKSPACE) / Config.OUTPUT_DIRECTORY else: # Define local paths markdown_directory = Path(Config.MARKDOWN_DIRECTORY_LOCAL) output_directory = Path(Config.OUTPUT_DIRECTORY_LOCAL) # Add this line at the end to print the paths for verification print(f"Markdown Directory: {markdown_directory}") print(f"Output Directory: {output_directory}") if not output_directory.is_dir(): output_directory.mkdir(parents=True) else: clear_directory(output_directory) # Create a PrettyTable table = PrettyTable(["#", "File", "Status"]) table.align["File"] = "l" # Align "File" column to the left # Create counters as lists to enable modification within functions success_count = [0] no_table_count = [0] error_count = [0] markdown_files = [f for f in markdown_directory.rglob("*.md")] file_updates = [] for counter, markdown_file in enumerate(markdown_files, start=1): ( table, file_updates, success_count, no_table_count, error_count, ) = process_markdown_file( markdown_file, output_directory, counter, table, success_count, no_table_count, error_count, file_updates, ) update_repository_with_json(file_updates) # Print the PrettyTable print(table) summary_table = PrettyTable(["Category", "Count"]) summary_table.align["Category"] = "l" # Align "Category" column to the left # Add rows to the summary table summary_table.add_row(["Success", print_colored_count(success_count[0], "Success")]) summary_table.add_row( ["No table", print_colored_count(no_table_count[0], "No table")] ) summary_table.add_row(["Errors", print_colored_count(error_count[0], "Errors")]) # Print the summary table print(summary_table) if __name__ == "__main__": main() ================================================ FILE: json_data/2024/main/1001_1200.json ================================================ [ { "title": "Spatial-Contextual Discrepancy Information Compensation for GAN Inversion", "base_url": null, "title_page": null, "ieee_id": null, "github": "ZzqLKED/SDIC", "web_page": null, "github_page": null, "colab": null, "modelscope": null, "gitee": null, "gitlab": null, "zenodo": null, "kaggle": null, "demo_page": null, "paper_thecvf": null, "paper_arxiv_id": "2312.07079", "paper_pdf": null, "paper_hal_science": null, "paper_researchgate": null, "paper_amazon": null, "youtube_id": null, "drive_google": null, "dropbox": null, "onedrive": null, "loom": null, "section": "1001-1200 papers" }, { "title": "Weakly-Supervised Temporal Action Localization by Inferring Salient Snippet-Feature", "base_url": null, "title_page": null, "ieee_id": null, "github": null, "web_page": null, "github_page": null, "colab": null, "modelscope": null, "gitee": null, "gitlab": null, "zenodo": null, "kaggle": null, "demo_page": null, "paper_thecvf": null, "paper_arxiv_id": "2303.12332", "paper_pdf": null, "paper_hal_science": null, "paper_researchgate": null, "paper_amazon": null, "youtube_id": null, "drive_google": null, "dropbox": null, "onedrive": null, "loom": null, "section": "1001-1200 papers" }, { "title": "SimCalib: Graph Neural Network Calibration based on Similarity between Nodes", "base_url": null, "title_page": null, "ieee_id": null, "github": null, "web_page": null, "github_page": null, "colab": null, "modelscope": null, "gitee": null, "gitlab": null, "zenodo": null, "kaggle": null, "demo_page": null, "paper_thecvf": null, "paper_arxiv_id": "2312.11858", "paper_pdf": null, "paper_hal_science": null, "paper_researchgate": null, "paper_amazon": null, "youtube_id": null, "drive_google": null, "dropbox": null, "onedrive": null, "loom": null, "section": "1001-1200 papers" }, { "title": "SA2VP: Spatially Aligned-and-Adapted Visual Prompt", "base_url": null, "title_page": null, "ieee_id": null, "github": "tommy-xq/SA2VP", "web_page": null, "github_page": null, "colab": null, "modelscope": null, "gitee": null, "gitlab": null, "zenodo": null, "kaggle": null, "demo_page": null, "paper_thecvf": null, "paper_arxiv_id": "2312.10376", "paper_pdf": null, "paper_hal_science": null, "paper_researchgate": null, "paper_amazon": null, "youtube_id": null, "drive_google": null, "dropbox": null, "onedrive": null, "loom": null, "section": "1001-1200 papers" }, { "title": "Hypergraph-guided Disentangled Spectrum Transformer Networks for Near-Infrared Facial Expression Recognition", "base_url": null, "title_page": null, "ieee_id": null, "github": null, "web_page": null, "github_page": null, "colab": null, "modelscope": null, "gitee": null, "gitlab": null, "zenodo": null, "kaggle": null, "demo_page": null, "paper_thecvf": null, "paper_arxiv_id": "2312.05907", "paper_pdf": null, "paper_hal_science": null, "paper_researchgate": null, "paper_amazon": null, "youtube_id": null, "drive_google": null, "dropbox": null, "onedrive": null, "loom": null, "section": "1001-1200 papers" }, { "title": "Exploring Sparse Visual Prompt for Domain Adaptive Dense Prediction", "base_url": null, "title_page": null, "ieee_id": null, "github": "Anonymous-012/SVDP", "web_page": null, "github_page": null, "colab": null, "modelscope": null, "gitee": null, "gitlab": null, "zenodo": null, "kaggle": null, "demo_page": null, "paper_thecvf": null, "paper_arxiv_id": "2303.09792", "paper_pdf": null, "paper_hal_science": null, "paper_researchgate": null, "paper_amazon": null, "youtube_id": null, "drive_google": null, "dropbox": null, "onedrive": null, "loom": null, "section": "1001-1200 papers" }, { "title": "Scalable Geometric Fracture Assembly via Co-Creation Space among Assemblers", "base_url": null, "title_page": null, "ieee_id": null, "github": "Ruiyuan-Zhang/CCS", "web_page": null, "github_page": null, "colab": null, "modelscope": null, "gitee": null, "gitlab": null, "zenodo": null, "kaggle": null, "demo_page": null, "paper_thecvf": null, "paper_arxiv_id": "2312.12340", "paper_pdf": null, "paper_hal_science": null, "paper_researchgate": null, "paper_amazon": null, "youtube_id": null, "drive_google": null, "dropbox": null, "onedrive": null, "loom": null, "section": "1001-1200 papers" }, { "title": "Spot the Error: Non-Autoregressive Graphic Layout Generation with Wireframe Locator", "base_url": null, "title_page": null, "ieee_id": null, "github": "ffffatgoose/SpotError", "web_page": null, "github_page": null, "colab": null, "modelscope": null, "gitee": null, "gitlab": null, "zenodo": null, "kaggle": null, "demo_page": null, "paper_thecvf": null, "paper_arxiv_id": "2401.16375", "paper_pdf": null, "paper_hal_science": null, "paper_researchgate": null, "paper_amazon": null, "youtube_id": null, "drive_google": null, "dropbox": null, "onedrive": null, "loom": null, "section": "1001-1200 papers" }, { "title": "High-Fidelity Diffusion-based Image Editing", "base_url": null, "title_page": null, "ieee_id": null, "github": null, "web_page": null, "github_page": null, "colab": null, "modelscope": null, "gitee": null, "gitlab": null, "zenodo": null, "kaggle": null, "demo_page": null, "paper_thecvf": null, "paper_arxiv_id": "2312.15707", "paper_pdf": null, "paper_hal_science": null, "paper_researchgate": null, "paper_amazon": null, "youtube_id": null, "drive_google": null, "dropbox": null, "onedrive": null, "loom": null, "section": "1001-1200 papers" }, { "title": "SIG: Speaker Identification in Literature via Prompt-based Generation", "base_url": null, "title_page": null, "ieee_id": null, "github": null, "web_page": null, "github_page": null, "colab": null, "modelscope": null, "gitee": null, "gitlab": null, "zenodo": null, "kaggle": null, "demo_page": null, "paper_thecvf": null, "paper_arxiv_id": "2312.14590", "paper_pdf": null, "paper_hal_science": null, "paper_researchgate": null, "paper_amazon": null, "youtube_id": null, "drive_google": null, "dropbox": null, "onedrive": null, "loom": null, "section": "1001-1200 papers" }, { "title": "RLfOLD: Reinforcement Learning from Online Demonstrations in Urban Autonomous Driving", "base_url": null, "title_page": null, "ieee_id": null, "github": "DanielCoelho112/rlfold", "web_page": null, "github_page": null, "colab": null, "modelscope": null, "gitee": null, "gitlab": null, "zenodo": null, "kaggle": null, "demo_page": null, "paper_thecvf": null, "paper_arxiv_id": null, "paper_pdf": null, "paper_hal_science": null, "paper_researchgate": null, "paper_amazon": null, "youtube_id": null, "drive_google": null, "dropbox": null, "onedrive": null, "loom": null, "section": "1001-1200 papers" }, { "title": "Reward Penalties on Augmented States for Solving Richly Constrained RL Effectively", "base_url": null, "title_page": null, "ieee_id": null, "github": "xiaomeijiang258/aaaicrl", "web_page": null, "github_page": "https://xiaomeijiang258.github.io/aaaicrl/", "colab": null, "modelscope": null, "gitee": null, "gitlab": null, "zenodo": null, "kaggle": null, "demo_page": null, "paper_thecvf": null, "paper_arxiv_id": "2301.11592", "paper_pdf": null, "paper_hal_science": null, "paper_researchgate": null, "paper_amazon": null, "youtube_id": null, "drive_google": null, "dropbox": null, "onedrive": null, "loom": null, "section": "1001-1200 papers" }, { "title": "Parsing All Adverse Scenes: Severity-Aware Semantic Segmentation with Mask-Enhanced Cross-Domain Consistency", "base_url": null, "title_page": null, "ieee_id": null, "github": "Cuzyoung/PASS", "web_page": null, "github_page": null, "colab": null, "modelscope": null, "gitee": null, "gitlab": null, "zenodo": null, "kaggle": null, "demo_page": null, "paper_thecvf": null, "paper_arxiv_id": null, "paper_pdf": null, "paper_hal_science": null, "paper_researchgate": null, "paper_amazon": null, "youtube_id": null, "drive_google": null, "dropbox": null, "onedrive": null, "loom": null, "section": "1001-1200 papers" }, { "title": "Context-Aware Iteration Policy Network for Efficient Optical Flow Estimation", "base_url": null, "title_page": null, "ieee_id": null, "github": null, "web_page": null, "github_page": null, "colab": null, "modelscope": null, "gitee": null, "gitlab": null, "zenodo": null, "kaggle": null, "demo_page": null, "paper_thecvf": null, "paper_arxiv_id": "2312.07180", "paper_pdf": null, "paper_hal_science": null, "paper_researchgate": null, "paper_amazon": null, "youtube_id": null, "drive_google": null, "dropbox": null, "onedrive": null, "loom": null, "section": "1001-1200 papers" }, { "title": "Regulating AI: Applying Insights from Behavioural Economics and Psychology to the Application of Article 5 of the EU AI Act", "base_url": null, "title_page": null, "ieee_id": null, "github": null, "web_page": null, "github_page": null, "colab": null, "modelscope": null, "gitee": null, "gitlab": null, "zenodo": null, "kaggle": null, "demo_page": null, "paper_thecvf": null, "paper_arxiv_id": "2308.02041", "paper_pdf": null, "paper_hal_science": null, "paper_researchgate": null, "paper_amazon": null, "youtube_id": "nWPpHYwqpU8", "drive_google": null, "dropbox": null, "onedrive": null, "loom": null, "section": "1001-1200 papers" }, { "title": "Online Boosting Adaptive Learning under Concept Drift for Multistream Classification", "base_url": null, "title_page": null, "ieee_id": null, "github": null, "web_page": null, "github_page": null, "colab": null, "modelscope": null, "gitee": null, "gitlab": null, "zenodo": null, "kaggle": null, "demo_page": null, "paper_thecvf": null, "paper_arxiv_id": "2312.10841", "paper_pdf": null, "paper_hal_science": null, "paper_researchgate": null, "paper_amazon": null, "youtube_id": null, "drive_google": null, "dropbox": null, "onedrive": null, "loom": null, "section": "1001-1200 papers" }, { "title": "Region-Aware Exposure Consistency Network for Mixed Exposure Correction", "base_url": null, "title_page": null, "ieee_id": null, "github": "kravrolens/RECNet", "web_page": null, "github_page": null, "colab": null, "modelscope": null, "gitee": null, "gitlab": null, "zenodo": null, "kaggle": null, "demo_page": null, "paper_thecvf": null, 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Creating it ..." mkdir -p "$TARGET_DIR" cp -R "$SOURCE_DIR"/* "$TARGET_DIR/" files_to_update=($(find "$SOURCE_DIR" -type f -name '*.json' -printf "%P\n")) fi if [ ${#files_to_update[@]} -eq 0 ]; then echo "No files to update." else # Output the list of updated files echo -e "\nUpdated files:" for updated_file in "${files_to_update[@]}"; do echo -e "${GREEN}$updated_file${NC}" done fi ================================================ FILE: scripts/show_file_content.sh ================================================ #!/bin/bash show_file_content() { local file_path=$1 local display_file_contents=$2 if [[ -f "$file_path" ]]; then if [[ "$display_file_contents" == 'true' ]]; then echo "Displaying content of the file:" cat "$file_path" else echo "Displaying content is blocked." fi else echo "File does not exist." fi } ================================================ FILE: scripts/update_repo.sh ================================================ #!/bin/bash TARGET_DIR="$1" EMAIL="$2" USERNAME="$3" JSON_DATA_PATH="$4" HF_USERNAME="$5" HF_TOKEN="$6" HF_REPO="$7" # Change working directory to the target directory cd "$TARGET_DIR" || exit 1 # Set user email and username git config --global user.email "$EMAIL" git config --global user.name "$USERNAME" # Commit all changes in the target directory git add . git commit -m "Update JSON files in $JSON_DATA_PATH" git push "https://${HF_USERNAME}:${HF_TOKEN}@huggingface.co/spaces/${HF_USERNAME}/${HF_REPO}" main ================================================ FILE: sections/2024/main/1001_1200.md ================================================ # AAAI-2024-Papers
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## 1001-1200 papers ![Section Papers](https://img.shields.io/badge/Section%20Papers-200-42BA16) ![Preprint Papers](https://img.shields.io/badge/Preprint%20Papers-125-b31b1b) ![Papers with Open Code](https://img.shields.io/badge/Papers%20with%20Open%20Code-73-1D7FBF) ![Papers with Video](https://img.shields.io/badge/Papers%20with%20Video-7-FF0000) | :id: | **Title** | **Repo** | **Paper** | **Video** | |------|-----------|:--------:|:---------:|:---------:| | 1928 | Spatial-Contextual Discrepancy Information Compensation for GAN Inversion | [![GitHub](https://img.shields.io/github/stars/ZzqLKED/SDIC?style=flat)](https://github.com/ZzqLKED/SDIC) | [![arXiv](https://img.shields.io/badge/arXiv-2312.07079-b31b1b.svg)](https://arxiv.org/abs/2312.07079) | :heavy_minus_sign: | | 9738 | Weakly-Supervised Temporal Action Localization by Inferring Salient Snippet-Feature | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2303.12332-b31b1b.svg)](https://arxiv.org/abs/2303.12332) | :heavy_minus_sign: | | 10596 | PMAC: Personalized Multi-Agent Communication | | | | | 6732 | Scalable Enumeration of Trap Spaces in Boolean Networks via Answer Set Programming | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 10484 | DiG-In-GNN: Discriminative Feature Guided GNN-based Fraud Detector against Inconsistencies in Multi-Relation Fraud Graph | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 6797 | Live and Learn: Continual Action Clustering with Incremental Views | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 13273 | SimCalib: Graph Neural Network Calibration based on Similarity between Nodes | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.11858-b31b1b.svg)](https://arxiv.org/abs/2312.11858) | :heavy_minus_sign: | | 6974 | SA2VP: Spatially Aligned-and-Adapted Visual Prompt | [![GitHub](https://img.shields.io/github/stars/tommy-xq/SA2VP?style=flat)](https://github.com/tommy-xq/SA2VP) | [![arXiv](https://img.shields.io/badge/arXiv-2312.10376-b31b1b.svg)](https://arxiv.org/abs/2312.10376) | :heavy_minus_sign: | | 11412 | Hypergraph-guided Disentangled Spectrum Transformer Networks for Near-Infrared Facial Expression Recognition | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.05907-b31b1b.svg)](https://arxiv.org/abs/2312.05907) | :heavy_minus_sign: | | 1574 | Exploring Sparse Visual Prompt for Domain Adaptive Dense Prediction | [![GitHub](https://img.shields.io/github/stars/Anonymous-012/SVDP?style=flat)](https://github.com/Anonymous-012/SVDP) | [![arXiv](https://img.shields.io/badge/arXiv-2303.09792-b31b1b.svg)](https://arxiv.org/abs/2303.09792) | :heavy_minus_sign: | | 6110 | Scalable Geometric Fracture Assembly via Co-Creation Space among Assemblers | [![GitHub](https://img.shields.io/github/stars/Ruiyuan-Zhang/CCS?style=flat)](https://github.com/Ruiyuan-Zhang/CCS) | [![arXiv](https://img.shields.io/badge/arXiv-2312.12340-b31b1b.svg)](https://arxiv.org/abs/2312.12340) | :heavy_minus_sign: | | 1668 | Spot the Error: Non-Autoregressive Graphic Layout Generation with Wireframe Locator | [![GitHub](https://img.shields.io/github/stars/ffffatgoose/SpotError?style=flat)](https://github.com/ffffatgoose/SpotError) | [![arXiv](https://img.shields.io/badge/arXiv-2401.16375-b31b1b.svg)](https://arxiv.org/abs/2401.16375) | :heavy_minus_sign: | | 7125 | High-Fidelity Diffusion-based Image Editing | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.15707-b31b1b.svg)](https://arxiv.org/abs/2312.15707) | :heavy_minus_sign: | | 6448 | SIG: Speaker Identification in Literature via Prompt-based Generation | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.14590-b31b1b.svg)](https://arxiv.org/abs/2312.14590) | :heavy_minus_sign: | | 7977 | RLfOLD: Reinforcement Learning from Online Demonstrations in Urban Autonomous Driving | [![GitHub](https://img.shields.io/github/stars/DanielCoelho112/rlfold?style=flat)](https://github.com/DanielCoelho112/rlfold) | :heavy_minus_sign: | :heavy_minus_sign: | | 12579 | Reward Penalties on Augmented States for Solving Richly Constrained RL Effectively | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://xiaomeijiang258.github.io/aaaicrl/)
[![GitHub](https://img.shields.io/github/stars/xiaomeijiang258/aaaicrl?style=flat)](https://github.com/xiaomeijiang258/aaaicrl) | [![arXiv](https://img.shields.io/badge/arXiv-2301.11592-b31b1b.svg)](https://arxiv.org/abs/2301.11592) | :heavy_minus_sign: | | 13021 | Parsing All Adverse Scenes: Severity-Aware Semantic Segmentation with Mask-Enhanced Cross-Domain Consistency | [![GitHub](https://img.shields.io/github/stars/Cuzyoung/PASS?style=flat)](https://github.com/Cuzyoung/PASS) | :heavy_minus_sign: | :heavy_minus_sign: | | 932 | Context-Aware Iteration Policy Network for Efficient Optical Flow Estimation | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.07180-b31b1b.svg)](https://arxiv.org/abs/2312.07180) | :heavy_minus_sign: | | 7902 | Social-Aware Group Display Configuration in VR Conference | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 7320 | Regulating AI: Applying Insights from Behavioural Economics and Psychology to the Application of Article 5 of the EU AI Act | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2308.02041-b31b1b.svg)](https://arxiv.org/abs/2308.02041) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=nWPpHYwqpU8) | | 6159 | Online Boosting Adaptive Learning under Concept Drift for Multistream Classification | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.10841-b31b1b.svg)](https://arxiv.org/abs/2312.10841) | :heavy_minus_sign: | | 12670 | Region-Aware Exposure Consistency Network for Mixed Exposure Correction | [![GitHub](https://img.shields.io/github/stars/kravrolens/RECNet?style=flat)](https://github.com/kravrolens/RECNet) | [![arXiv](https://img.shields.io/badge/arXiv-2402.18217-b31b1b.svg)](https://arxiv.org/abs/2402.18217) | :heavy_minus_sign: | | 4388 | Arbitrary-Scale Video Super-Resolution Guided by Dynamic Context | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 8074 | Unified Framework for Diffusion Generative Models in SO(3): Applications in Computer Vision and Astrophysics | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.11707-b31b1b.svg)](https://arxiv.org/abs/2312.11707) | :heavy_minus_sign: | | 1624 | Selective and Orthogonal Feature Activation for Pedestrian Attribute Recognition | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 7571 | Hardness of Random Reordered Encodings of Parity for Resolution and CDCL | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2402.00542-b31b1b.svg)](https://arxiv.org/abs/2402.00542) | :heavy_minus_sign: | | 9762 | Enhancing Evolving Domain Generalization through Dynamic Latent Representations | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2401.08464-b31b1b.svg)](https://arxiv.org/abs/2401.08464) | :heavy_minus_sign: | | 10240 | Diverse and Aligned Audio-to-Video Generation via Text-to-Video Model Adaptation | [![WEB Page](https://img.shields.io/badge/WEB-Page-159957.svg)](https://pages.cs.huji.ac.il/adiyoss-lab/TempoTokens/)
[![GitHub](https://img.shields.io/github/stars/guyyariv/TempoTokens?style=flat)](https://github.com/guyyariv/TempoTokens) | [![arXiv](https://img.shields.io/badge/arXiv-2309.16429-b31b1b.svg)](https://arxiv.org/abs/2309.16429) | :heavy_minus_sign: | | 6958 | A Convolutional Neural Network Interpretable Framework for Human Ventral Visual Pathway Representation | [![GitHub](https://img.shields.io/github/stars/BIT-YangLab/CNN-IF?style=flat)](https://github.com/BIT-YangLab/CNN-IF) | :heavy_minus_sign: | :heavy_minus_sign: | | 9780 | Runtime Analysis of the (μ + 1) GA: Provable Speed-Ups from Strong Drift towards Diverse Populations | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 4666 | BAT: Behavior-Aware Human-Like Trajectory Prediction for Autonomous Driving | [![GitHub](https://img.shields.io/github/stars/Petrichor625/BATraj-Behavior-aware-Model?style=flat)](https://github.com/Petrichor625/BATraj-Behavior-aware-Model) | [![arXiv](https://img.shields.io/badge/arXiv-2312.06371-b31b1b.svg)](https://arxiv.org/abs/2312.06371) | | | 8761 | Learning from Ambiguous Demonstrations with Self-Explanation Guided Reinforcement Learning | [![GitHub](https://img.shields.io/github/stars/YantianZha/SERLfD?style=flat)](https://github.com/YantianZha/SERLfD) | [![arXiv](https://img.shields.io/badge/arXiv-2110.05286-b31b1b.svg)](https://arxiv.org/abs/2110.05286) | :heavy_minus_sign: | | 7265 | CUDC: A Curiosity-Driven Unsupervised Data Collection Method with Adaptive Temporal Distances for Offline Reinforcement Learning | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.12191-b31b1b.svg)](https://arxiv.org/abs/2312.12191) | :heavy_minus_sign: | | 5773 | MDFL: Multi-Domain Diffusion-Driven Feature Learning | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2311.09520-b31b1b.svg)](https://arxiv.org/abs/2311.09520) | :heavy_minus_sign: | | 12107 | Sample-Constrained Black Box Optimization for Audio Personalization | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 6543 | Maxileximin Envy Allocations and Connected Goods | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 12637 | Shuffled Deep Regression | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 11228 | Data-Augmented Curriculum Graph Neural Architecture Search under Distribution Shifts | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 4432 | Improving the Adversarial Transferability of Vision Transformers with Virtual Dense Connection | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 10529 | DTF-AT: Decoupled Time-Frequency Audio Transformer for Event Classification | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 6462 | Efficient Algorithms for Non-Gaussian Single Index Models with Generative Priors | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 2322 | Embracing Language Inclusivity and Diversity in CLIP through Continual Language Learning | [![GitHub](https://img.shields.io/github/stars/yangbang18/CLFM?style=flat)](https://github.com/yangbang18/CLFM) | [![arXiv](https://img.shields.io/badge/arXiv-2401.17186-b31b1b.svg)](https://arxiv.org/abs/2401.17186) | :heavy_minus_sign: | | 13535 | Omnidirectional Image Super-Resolution via Bi-Projection Fusion | [![GitHub](https://img.shields.io/github/stars/W-JG/BPOSR?style=flat)](https://github.com/W-JG/BPOSR) | :heavy_minus_sign: | :heavy_minus_sign: | | 4325 | Video Event Extraction with Multi-View Interaction Knowledge Distillation | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 7720 | History Matters: Temporal Knowledge Editing in Large Language Model | [![GitHub](https://img.shields.io/github/stars/Arvid-pku/ATOKE?style=flat)](https://github.com/Arvid-pku/ATOKE) | [![arXiv](https://img.shields.io/badge/arXiv-2312.05497-b31b1b.svg)](https://arxiv.org/abs/2312.05497) | :heavy_minus_sign: | | 10149 | Fluctuation-based Adaptive Structured Pruning for Large Language Models | [![GitHub](https://img.shields.io/github/stars/CASIA-IVA-Lab/FLAP?style=flat)](https://github.com/CASIA-IVA-Lab/FLAP) | [![arXiv](https://img.shields.io/badge/arXiv-2312.11983-b31b1b.svg)](https://arxiv.org/abs/2312.11983) | :heavy_minus_sign: | | 11363 | Hybrid-Supervised Dual-Search: Leveraging Automatic Learning for Loss-Free Multi-Exposure Image Fusion | [![GitHub](https://img.shields.io/github/stars/RollingPlain/HSDS_MEF?style=flat)](https://github.com/RollingPlain/HSDS_MEF) | [![arXiv](https://img.shields.io/badge/arXiv-2309.01113-b31b1b.svg)](https://arxiv.org/abs/2309.01113) | :heavy_minus_sign: | | 505 | Multi-Prototype Space Learning for Commonsense-based Scene Graph Generation | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 9580 | FPRF: Feed-Forward Photorealistic Style Transfer of Large-Scale 3D Neural Radiance Fields | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://kim-geonu.github.io/FPRF/)
[![GitHub](https://img.shields.io/github/stars/postech-ami/FPRF?style=flat)](https://github.com/postech-ami/FPRF) | [![arXiv](https://img.shields.io/badge/arXiv-2401.05516-b31b1b.svg)](https://arxiv.org/abs/2401.05516) | :heavy_minus_sign: | | 4024 | Divide and Conquer: Hybrid Pre-Training for Person Search | [![GitHub](https://img.shields.io/github/stars/personsearch/PretrainPS?style=flat)](https://github.com/personsearch/PretrainPS) | [![arXiv](https://img.shields.io/badge/arXiv-2312.07970-b31b1b.svg)](https://arxiv.org/abs/2312.07970) | :heavy_minus_sign: | | 4182 | Optimize and Reduce: A Top-Down Approach for Image Vectorization | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://ajevnisek.github.io/optimize-and-reduce/)
[![GitHub](https://img.shields.io/github/stars/ajevnisek/optimize-and-reduce?style=flat)](https://github.com/ajevnisek/optimize-and-reduce) | [![arXiv](https://img.shields.io/badge/arXiv-2312.11334-b31b1b.svg)](https://arxiv.org/abs/2312.11334) | :heavy_minus_sign: | | 6712 | Proportional Aggregation of Preferences for Sequential Decision Making | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2306.14858-b31b1b.svg)](https://arxiv.org/abs/2306.14858) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=kjZG89iDzuU) | | 13139 | Tail-STEAK: Improve Friend Recommendation for Tail Users via Self-Training Enhanced Knowledge Distillation | [![GitHub](https://img.shields.io/github/stars/antman9914/Tail-STEAK?style=flat)](https://github.com/antman9914/Tail-STEAK) | :heavy_minus_sign: | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=BSrTZ6vcQK0) | | 4132 | MA-Net: Rethinking Neural Unit in the Light of Astrocytes | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 10691 | Limited Query Graph Connectivity Test | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2302.13036-b31b1b.svg)](https://arxiv.org/abs/2302.13036) | :heavy_minus_sign: | | 65 | Gated Attention Coding for Training High-Performance and Efficient Spiking Neural Networks | [![GitHub](https://img.shields.io/github/stars/bollossom/GAC?style=flat)](https://github.com/bollossom/GAC) | [![arXiv](https://img.shields.io/badge/arXiv-2308.06582-b31b1b.svg)](https://arxiv.org/abs/2308.06582) | :heavy_minus_sign: | | 8879 | FedASMU: Efficient Asynchronous Federated Learning with Dynamic Staleness-Aware Model Update | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.05770-b31b1b.svg)](https://arxiv.org/abs/2312.05770) | :heavy_minus_sign: | | 5078 | Dynamic Budget Throttling in Repeated Second-Price Auctions | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2207.04690-b31b1b.svg)](https://arxiv.org/abs/2207.04690) | :heavy_minus_sign: | | 9398 | Towards a Theoretical Understanding of Why Local Search Works for Clustering with Fair-Center Representation | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 7549 | ProCC: Progressive Cross-Primitive Compatibility for Open-World Compositional Zero-Shot Learning | [![GitHub](https://img.shields.io/github/stars/huofushuo/procc?style=flat)](https://github.com/huofushuo/procc) | [![arXiv](https://img.shields.io/badge/arXiv-2211.12417-b31b1b.svg)](https://arxiv.org/abs/2211.12417) | :heavy_minus_sign: | | 7853 | A Local-Ascending-Global Learning Strategy for Brain-Computer Interface | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 4351 | Data Roaming and Quality Assessment for Composed Image Retrieval | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2303.09429-b31b1b.svg)](https://arxiv.org/abs/2303.09429) | :heavy_minus_sign: | | 13611 | Frequency Spectrum is more Effective for Multimodal Representation and Fusion: A Multimodal Spectrum Rumor Detector | [![GitHub](https://img.shields.io/github/stars/dm4m/FSRU?style=flat)](https://github.com/dm4m/FSRU) | [![arXiv](https://img.shields.io/badge/arXiv-2312.11023-b31b1b.svg)](https://arxiv.org/abs/2312.11023) | :heavy_minus_sign: | | 9631 | Task-Driven Causal Feature Distillation: Towards Trustworthy Risk Prediction | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.16113-b31b1b.svg)](https://arxiv.org/abs/2312.16113) | :heavy_minus_sign: | | 7842 | ConsistentEE: A Consistent and Hardness-Guided Early Exiting Method for Accelerating Language Models Inference | [![GitHub](https://img.shields.io/github/stars/ZeroNLP/ConsistentEE?style=flat)](https://github.com/ZeroNLP/ConsistentEE) | [![arXiv](https://img.shields.io/badge/arXiv-2312.11882-b31b1b.svg)](https://arxiv.org/abs/2312.11882) | :heavy_minus_sign: | | 9770 | CONSIDER: Commonalities and Specialties Driven Multilingual Code Retrieval Framework | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 13722 | Turning Dust into Gold: Distilling Complex Reasoning Capabilities from LLMs by Leveraging Negative Data | [![GitHub](https://img.shields.io/github/stars/Yiwei98/TDG?style=flat)](https://github.com/Yiwei98/TDG) | [![arXiv](https://img.shields.io/badge/arXiv-2312.12832-b31b1b.svg)](https://arxiv.org/abs/2312.12832) | :heavy_minus_sign: | | 10726 | Beyond Entities: A Large-Scale Multi-Modal Knowledge Graph with Triplet Fact Grounding | [![GitHub](https://img.shields.io/github/stars/kleinercubs/ImgFact?style=flat)](https://github.com/kleinercubs/ImgFact) | :heavy_minus_sign: | :heavy_minus_sign: | | 1602 | Cycle-Consistency Learning for Captioning and Grounding | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.15162-b31b1b.svg)](https://arxiv.org/abs/2312.15162) | :heavy_minus_sign: | | 1628 | Analytically Tractable Models for Decision Making under Present Bias | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2302.08132-b31b1b.svg)](https://arxiv.org/abs/2302.08132) | :heavy_minus_sign: | | 9455 | Mitigating Large Language Model Hallucinations via Autonomous Knowledge Graph-based Retrofitting | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2311.13314-b31b1b.svg)](https://arxiv.org/abs/2311.13314) | :heavy_minus_sign: | | 5870 | Underwater Organism Color Fine-Tuning via Decomposition and Guidance | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 12419 | Neural Network Approximators for Marginal MAP in Probabilistic Circuits | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2402.03621-b31b1b.svg)](https://arxiv.org/abs/2402.03621) | :heavy_minus_sign: | | 13436 | Wikiformer: Pre-Training with Structured Information of Wikipedia for Ad-Hoc Retrieval | [![GitHub](https://img.shields.io/github/stars/oneal2000/Wikiformer?style=flat)](https://github.com/oneal2000/Wikiformer) | [![arXiv](https://img.shields.io/badge/arXiv-2312.10661-b31b1b.svg)](https://arxiv.org/abs/2312.10661) | :heavy_minus_sign: | | 3875 | Rethinking Dimensional Rationale in Graph Contrastive Learning from Causal Perspective | [![GitHub](https://img.shields.io/github/stars/ByronJi/DRGCL?style=flat)](https://github.com/ByronJi/DRGCL) | [![arXiv](https://img.shields.io/badge/arXiv-2312.10401-b31b1b.svg)](https://arxiv.org/abs/2312.10401) | :heavy_minus_sign: | | 5213 | Text-to-Image Generation for Abstract Concepts | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2309.14623-b31b1b.svg)](https://arxiv.org/abs/2309.14623) | :heavy_minus_sign: | | 2577 | Diagnosing and Rectifying Fake OOD Invariance: A Restructured Causal Approach | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.09758-b31b1b.svg)](https://arxiv.org/abs/2312.09758) | :heavy_minus_sign: | | 12841 | A Joint Framework with Heterogeneous-Relation-Aware Graph and Multi-Channel Label Enhancing Strategy for Event Causality Extraction | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 2307 | Arbitrary-Scale Point Cloud Upsampling by Voxel-based Network with Latent Geometric-Consistent Learning | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://github.com/hikvision-research/3DVision/tree/main/PointUpsampling/PU-VoxelNet) | [![arXiv](https://img.shields.io/badge/arXiv-2403.05117-b31b1b.svg)](https://arxiv.org/abs/2403.05117) | :heavy_minus_sign: | | 8323 | Pay to (Not) Play: Monetizing Impatience in Mobile Games | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.10205-b31b1b.svg)](https://arxiv.org/abs/2312.10205) | :heavy_minus_sign: | | 13090 | A Diffusion-based Pre-Training Framework for Crystal Property Prediction | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 10290 | Exact ASP Counting with Compact Encodings | [![GitHub](https://img.shields.io/github/stars/meelgroup/sharpASP?style=flat)](https://github.com/meelgroup/sharpASP) | [![arXiv](https://img.shields.io/badge/arXiv-2312.11936-b31b1b.svg)](https://arxiv.org/abs/2312.11936) | :heavy_minus_sign: | | 5457 | Large Occluded Human Image Completion via Image-Prior Cooperating | [![GitHub](https://img.shields.io/github/stars/ZhaoHengrun/LOHC?style=flat)](https://github.com/ZhaoHengrun/LOHC) | :heavy_minus_sign: | :heavy_minus_sign: | | 8582 | GMP-AR: Granularity Message Passing and Adaptive Reconciliation for Temporal Hierarchy Forecasting | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 1338 | Expressive Forecasting of 3D Whole-Body Human Motions | [![GitHub](https://img.shields.io/github/stars/Dingpx/EAI?style=flat)](https://github.com/Dingpx/EAI) | [![arXiv](https://img.shields.io/badge/arXiv-2312.11972-b31b1b.svg)](https://arxiv.org/abs/2312.11972) | :heavy_minus_sign: | | 13689 | SeqGPT: An Out-of-the-Box Large Language Model for Open Domain Sequence Understanding | [![GitHub](https://img.shields.io/github/stars/Alibaba-NLP/SeqGPT?style=flat)](https://github.com/Alibaba-NLP/SeqGPT) | [![arXiv](https://img.shields.io/badge/arXiv-2308.10529-b31b1b.svg)](https://arxiv.org/abs/2308.10529) | :heavy_minus_sign: | | 5387 | Non-Excludable Bilateral Trade between Groups | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.11800-b31b1b.svg)](https://arxiv.org/abs/2312.11800) | :heavy_minus_sign: | | 11731 | Learning to Learn in Interactive Constraint Acquisition | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.10795-b31b1b.svg)](https://arxiv.org/abs/2312.10795) | :heavy_minus_sign: | | 3048 | CamoDiffusion: Camouflaged Object Detection via Conditional Diffusion Models | [![GitHub](https://img.shields.io/github/stars/Rapisurazurite/CamoDiffusion?style=flat)](https://github.com/Rapisurazurite/CamoDiffusion) | [![arXiv](https://img.shields.io/badge/arXiv-2305.17932-b31b1b.svg)](https://arxiv.org/abs/2305.17932) | :heavy_minus_sign: | | 3372 | Density Matters: Improved Core-Set for Active Domain Adaptive Segmentation | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.09595-b31b1b.svg)](https://arxiv.org/abs/2312.09595) | :heavy_minus_sign: | | 12465 | Mastering Context-to-Label Representation Transformation for Event Causality Identification with Diffusion Models | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 4475 | QDETRv: Query-guided DETR for One-Shot Object Localization in Videos | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 9539 | Imitate the Good and Avoid the Bad: An Incremental Approach to Safe Reinforcement Learning | [![GitHub](https://img.shields.io/github/stars/hmhuy2000/SIM-RL?style=flat)](https://github.com/hmhuy2000/SIM-RL) | [![arXiv](https://img.shields.io/badge/arXiv-2312.10385-b31b1b.svg)](https://arxiv.org/abs/2312.10385) | :heavy_minus_sign: | | 9041 | Multiple Hypothesis Dropout: Estimating the Parameters of Multi-Modal Output Distributions | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.11735-b31b1b.svg)](https://arxiv.org/abs/2312.11735) | :heavy_minus_sign: | | 2535 | Batch Normalization is Blind to the First and Second Derivatives of the Loss | [![GitHub](https://img.shields.io/github/stars/zzp1012/BN-blindness?style=flat)](https://github.com/zzp1012/BN-blindness) | [![arXiv](https://img.shields.io/badge/arXiv-2205.15146-b31b1b.svg)](https://arxiv.org/abs/2205.15146) | :heavy_minus_sign: | | 4298 | Solving Satisfiability Modulo Counting for Symbolic and Statistical AI Integration with Provable Guarantees | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2309.08883-b31b1b.svg)](https://arxiv.org/abs/2309.08883) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=GwLONo6Ubcs) | | 3183 | Towards Equipping Transformer with the Ability of Systematic Compositionality | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.07280-b31b1b.svg)](https://arxiv.org/abs/2312.07280) | :heavy_minus_sign: | | 3805 | Peer Learning: Learning Complex Policies in Groups from Scratch via Action Recommendations | [![GitHub](https://img.shields.io/github/stars/kramerlab/PeerLearning?style=flat)](https://github.com/kramerlab/PeerLearning) | [![arXiv](https://img.shields.io/badge/arXiv-2312.09950-b31b1b.svg)](https://arxiv.org/abs/2312.09950) | :heavy_minus_sign: | | 6636 | DeepPointMap: Advancing LiDAR SLAM with Unified Neural Descriptors | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.02684-b31b1b.svg)](https://arxiv.org/abs/2312.02684) | :heavy_minus_sign: | | 5688 | Rethinking Two-Stage Referring Expression Comprehension: A Novel Grounding and Segmentation Method Modulated by Point | [![GitHub](https://img.shields.io/github/stars/VILAN-Lab/PBREC-MT?style=flat)](https://github.com/VILAN-Lab/PBREC-MT) | :heavy_minus_sign: | :heavy_minus_sign: | | 7993 | Noisy Correspondence Learning with Self-Reinforcing Errors Mitigation | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.16478-b31b1b.svg)](https://arxiv.org/abs/2312.16478) | :heavy_minus_sign: | | 4531 | Cost Minimization for Equilibrium Transition | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.07603-b31b1b.svg)](https://arxiv.org/abs/2312.07603) | :heavy_minus_sign: | | 4921 | Lost Domain Generalization is a Natural Consequence of Lack of Training Domains | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 8439 | Neural Amortized Inference for Nested Multi-Agent Reasoning | [![WEB Page](https://img.shields.io/badge/WEB-Page-159957.svg)](https://www.tshu.io/nested_reasoning/)
[![GitHub](https://img.shields.io/github/stars/KJha02/AmortizedNestedReasoning?style=flat)](https://github.com/KJha02/AmortizedNestedReasoning) | [![arXiv](https://img.shields.io/badge/arXiv-2308.11071-b31b1b.svg)](https://arxiv.org/abs/2308.11071) | :heavy_minus_sign: | | 4921 | MotionMix: Weakly-Supervised Diffusion for Controllable Motion Generation | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://nhathoang2002.github.io/MotionMix-page/)
[![GitHub](https://img.shields.io/github/stars/NhatHoang2002/MotionMix?style=flat)](https://github.com/NhatHoang2002/MotionMix) | [![arXiv](https://img.shields.io/badge/arXiv-2401.11115-b31b1b.svg)](https://arxiv.org/abs/2401.11115) | :heavy_minus_sign: | | 259 | Relational Programming with Foundational Models | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 8194 | SEER: Backdoor Detection for Vision-Language Models through Searching Target Text and Image Trigger Jointly | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 281 | PVALane: Prior-Guided 3D Lane Detection with View-Agnostic Feature Alignment | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 11066 | Simplifying Complex Observation Models in Continuous POMDP Planning with Probabilistic Guarantees and Practice | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2311.07745-b31b1b.svg)](https://arxiv.org/abs/2311.07745) | :heavy_minus_sign: | | 5164 | Responsibility in Extensive Form Games | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.07637-b31b1b.svg)](https://arxiv.org/abs/2312.07637) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=P_hCGBK70X4) | | 11118 | Personalized Reinforcement Learning with a Budget of Policies | [![GitHub](https://img.shields.io/github/stars/dimonenka/RL_policy_budget?style=flat)](https://github.com/dimonenka/RL_policy_budget) | [![arXiv](https://img.shields.io/badge/arXiv-2401.06514-b31b1b.svg)](https://arxiv.org/abs/2401.06514) | :heavy_minus_sign: | | 12397 | Repurposing Ensemble of Black-Box Models to New Task Domains | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 4244 | Abstraction of Situation Calculus Concurrent Game Structures | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 3635 | Bridging the Semantic Latent Space between Brain and Machine: Similarity Is All You Need | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 6254 | ViLT-CLIP: Video and Language Tuning CLIP with Multimodal Prompt Learning and Scenario-guided Optimization | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 5327 | An Autoregressive Text-to-Graph Framework for Joint Entity and Relation Extraction | [![GitHub](https://img.shields.io/github/stars/urchade/ATG?style=flat)](https://github.com/urchade/ATG) | [![arXiv](https://img.shields.io/badge/arXiv-2401.01326-b31b1b.svg)](https://arxiv.org/abs/2401.01326) | :heavy_minus_sign: | | 1316 | Reachability of Fair Allocations via Sequential Exchanges | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.07241-b31b1b.svg)](https://arxiv.org/abs/2312.07241) | :heavy_minus_sign: | | 2405 | HGE: Embedding Temporal Knowledge Graphs in a Product Space of Heterogeneous Geometric Subspaces | [![GitHub](https://img.shields.io/github/stars/NacyNiko/HGE?style=flat)](https://github.com/NacyNiko/HGE) | [![arXiv](https://img.shields.io/badge/arXiv-2312.13680-b31b1b.svg)](https://arxiv.org/abs/2312.13680) | :heavy_minus_sign: | | 154 | Causal Representation Learning via Counterfactual Intervention | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 13107 | Improving Factual Error Correction by Learning to Inject Factual Errors | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.07049-b31b1b.svg)](https://arxiv.org/abs/2312.07049) | :heavy_minus_sign: | | 13134 | Multi-Objective Bayesian Optimization with Active Preference Learning | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2311.13460-b31b1b.svg)](https://arxiv.org/abs/2311.13460) | :heavy_minus_sign: | | 4518 | A Class of Topological Pseudodistances for Fast Comparison of Persistence Diagrams | [![GitHub](https://img.shields.io/github/stars/rolan2kn/aaai2024_etd_src?style=flat)](https://github.com/rolan2kn/aaai2024_etd_src) | [![arXiv](https://img.shields.io/badge/arXiv-2402.14489-b31b1b.svg)](https://arxiv.org/abs/2402.14489) | :heavy_minus_sign: | | 4540 | CAVEN: An Embodied Conversational Agent for Efficient Audio-Visual Navigation in Noisy Environments | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2306.04047-b31b1b.svg)](https://arxiv.org/abs/2306.04047) | :heavy_minus_sign: | | 6016 | Lyapunov-Stable Deep Equilibrium Models | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2304.12707-b31b1b.svg)](https://arxiv.org/abs/2304.12707) | :heavy_minus_sign: | | 2205 | TD2-Net: Toward Denoising and Debiasing for Video Scene Graph Generation | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2401.12479-b31b1b.svg)](https://arxiv.org/abs/2401.12479) | :heavy_minus_sign: | | 8371 | Improving Automatic VQA Evaluation using Large Language Models | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2310.02567-b31b1b.svg)](https://arxiv.org/abs/2310.02567) | :heavy_minus_sign: | | 11289 | Layer-Wise Representation Fusion for Compositional Generalization | [![GitHub](https://img.shields.io/github/stars/thinkaboutzero/LRF?style=flat)](https://github.com/thinkaboutzero/LRF) | [![arXiv](https://img.shields.io/badge/arXiv-2307.10799-b31b1b.svg)](https://arxiv.org/abs/2307.10799) | :heavy_minus_sign: | | 5584 | FedA3I: Annotation Quality-Aware Aggregation for Federated Medical Image Segmentation against Heterogeneous Annotation Noise | [![GitHub](https://img.shields.io/github/stars/wnn2000/FedAAAI?style=flat)](https://github.com/wnn2000/FedAAAI) | [![arXiv](https://img.shields.io/badge/arXiv-2312.12838-b31b1b.svg)](https://arxiv.org/abs/2312.12838) | :heavy_minus_sign: | | 13469 | Procedural Level Generation with Diffusion Models from a Single Example | [![GitHub](https://img.shields.io/github/stars/shiqi-dai/diffusioncraft?style=flat)](https://github.com/shiqi-dai/diffusioncraft) | :heavy_minus_sign: | :heavy_minus_sign: | | 6858 | MM-TTS: Multi-Modal Prompt based Style Transfer for Expressive Text-to-Speech Synthesis | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://multimodal-tts.github.io/) | [![arXiv](https://img.shields.io/badge/arXiv-2312.10687-b31b1b.svg)](https://arxiv.org/abs/2312.10687) | :heavy_minus_sign: | | 6980 | Contrastive Tuning: A Little Help to Make Masked Autoencoders Forget | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://ml-jku.github.io/MAE-CT/)
[![GitHub](https://img.shields.io/github/stars/ml-jku/MAE-CT?style=flat)](https://github.com/ml-jku/MAE-CT) | [![arXiv](https://img.shields.io/badge/arXiv-2304.10520-b31b1b.svg)](https://arxiv.org/abs/2304.10520) | :heavy_minus_sign: | | 13247 | Practical Privacy-Preserving MLaaS: When Compressive Sensing Meets Generative Networks | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 13340 | Towards Fairness in Online Service with K Servers and its Applicaitons in Fair Food Delivery | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 4876 | Generating Images of Rare Concepts using Pre-trained Diffusion Models | [![GitHub](https://img.shields.io/github/stars/dvirsamuel/SeedSelect?style=flat)](https://github.com/dvirsamuel/SeedSelect) | [![arXiv](https://img.shields.io/badge/arXiv-2304.14530-b31b1b.svg)](https://arxiv.org/abs/2304.14530) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=ZwDPoG5iGT4) | | 11249 | CTO-SLAM: Contour Tracking for Object-Level Robust 4D SLAM | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 11249 | RR-PU: A Synergistic Two-Stage Positive and Unlabeled Learning Framework for Robust Tax Evasion Detection | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 3911 | The Moderating Effect of Instant Runoff Voting | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2303.09734-b31b1b.svg)](https://arxiv.org/abs/2303.09734) | :heavy_minus_sign: | | 9527 | How to Make Knockout Tournaments more Popular? | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2309.09967-b31b1b.svg)](https://arxiv.org/abs/2309.09967) | :heavy_minus_sign: | | 11249 | Complementary Knowledge Distillation for Robust and Privacy-Preserving Model Serving in Vertical Federated Learning | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 10497 | Dealing with Numeric and Metric Time Constraints in PDDL3 via Compilation to Numeric Planning | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 13783 | On Inference Stability for Diffusion Models | [![GitHub](https://img.shields.io/github/stars/VinAIResearch/SA-DPM?style=flat)](https://github.com/VinAIResearch/SA-DPM) | [![arXiv](https://img.shields.io/badge/arXiv-2312.12431-b31b1b.svg)](https://arxiv.org/abs/2312.12431) | :heavy_minus_sign: | | 1033 | QLABGrad: A Hyperparameter-Free and Convergence-Guaranteed Scheme for Deep Learning | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2302.00252-b31b1b.svg)](https://arxiv.org/abs/2302.00252) | :heavy_minus_sign: | | 4444 | Active Learning Guided by Efficient Surrogate Learners | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2301.02761-b31b1b.svg)](https://arxiv.org/abs/2301.02761) | :heavy_minus_sign: | | 8469 | Manipulation-Robust Selection of Citizens' Assemblies | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 12713 | Implications of Distance over Redistricting Maps: Central and Outlier Maps | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2203.00872-b31b1b.svg)](https://arxiv.org/abs/2203.00872) | :heavy_minus_sign: | | 12533 | Leveraging Normalization Layer in Adapters with Progressive Learning and Adaptive Distillation for Cross-Domain Few-Shot Learning | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.11260-b31b1b.svg)](https://arxiv.org/abs/2312.11260) | :heavy_minus_sign: | | 5953 | Structure-Aware Multimodal Sequential Learning for Visual Dialog | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 7140 | Domain-Aware Fine-Tuning: Enhancing Neural Network Adaptability | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2308.07728-b31b1b.svg)](https://arxiv.org/abs/2308.07728) | :heavy_minus_sign: | | 7031 | Content Filtering with Inattentive Information Consumers | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2205.14060-b31b1b.svg)](https://arxiv.org/abs/2205.14060) | :heavy_minus_sign: | | 10450 | VLM2Scene: Self-Supervised Image-Text-LiDAR Learning with Foundation Models for Autonomous Driving Scene Understanding | [![GitHub](https://img.shields.io/github/stars/gbliao/VLM2Scene?style=flat)](https://github.com/gbliao/VLM2Scene) | :heavy_minus_sign: | :heavy_minus_sign: | | 11756 | Generalized Bradley-Terry Models for Score Estimation from Paired Comparisons | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2308.08644-b31b1b.svg)](https://arxiv.org/abs/2308.08644) | :heavy_minus_sign: | | 9515 | Enhancing the Efficiency of Altruism and Taxes in Affine Congestion Games through Signalling | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 8169 | Optimal Quasi-Clique: Hardness, Equivalence with Densest-k-Subgraph, and Quasi-Partitioned Community Mining | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 9447 | Learning Real-World Image De-Weathering with Imperfect Supervision | [![GitHub](https://img.shields.io/github/stars/1180300419/imperfect-deweathering?style=flat)](https://github.com/1180300419/imperfect-deweathering) | [![arXiv](https://img.shields.io/badge/arXiv-2310.14958-b31b1b.svg)](https://arxiv.org/abs/2310.14958) | :heavy_minus_sign: | | 8900 | RetouchFormer: Semi-Supervised High-Quality Face Retouching Transformer with Prior-based Selective Self-Attention | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 6903 | Approximate Integer Solution Counts over Linear Arithmetic Constraints | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.08776-b31b1b.svg)](https://arxiv.org/abs/2312.08776) | :heavy_minus_sign: | | 12994 | Faster Stochastic Variance Reduction Methods for Compositional MiniMax Optimization | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2308.09604-b31b1b.svg)](https://arxiv.org/abs/2308.09604) | :heavy_minus_sign: | | 4442 | Multi-Class Support Vector Machine with Maximizing Minimum Margin | [![GitHub](https://img.shields.io/github/stars/zz-haooo/M3SVM?style=flat)](https://github.com/zz-haooo/M3SVM) | [![arXiv](https://img.shields.io/badge/arXiv-2312.06578-b31b1b.svg)](https://arxiv.org/abs/2312.06578) | | | 4762 | A Two-Stage Information Extraction Network for Incomplete Multi-View Multi-Label Classification | [![GitHub](https://img.shields.io/github/stars/KevinTan10/TSIEN?style=flat)](https://github.com/KevinTan10/TSIEN) | :heavy_minus_sign: | :heavy_minus_sign: | | 6962 | DanceMVP: Self-Supervised Learning for Multi-Task Primitive-based Dance Performance Assessment via Transformer Text Prompting | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 3521 | Multi-Modal Disordered Representation Learning Network for Description-based Person Search | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 7272 | CK12: A Rounded K12 Knowledge Graph based Benchmark for Chinese Holistic Cognition Evaluation | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 2667 | Chronic Poisoning: Backdoor Attack against Split Learning | [![GitHub](https://img.shields.io/github/stars/chaoge123456/chronic_poisoning?style=flat)](https://github.com/chaoge123456/chronic_poisoning) | :heavy_minus_sign: | :heavy_minus_sign: | | 8045 | GO-DICE: Goal-Conditioned Option-Aware Offline Imitation Learning via Stationary Distribution Correction Estimation | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.10802-b31b1b.svg)](https://arxiv.org/abs/2312.10802) | :heavy_minus_sign: | | 8304 | Deep Variational Incomplete Multi-View Clustering: Exploring Shared Clustering Structures | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 13248 | Neural Embeddings for kNN Search in Biological Sequence | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 1534 | Online Conversion Rate Prediction via Multi-Interval Screening and Synthesizing under Delayed Feedback | [![GitHub](https://img.shields.io/github/stars/NealWalker/MISS?style=flat)](https://github.com/NealWalker/MISS) | :heavy_minus_sign: | :heavy_minus_sign: | | 8594 | RRL: Recommendation Reverse Learning | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 2460 | Motion Deblurring via Spatial-Temporal Collaboration of Frames and Events | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 11971 | Linear-Time Verification of Data-Aware Processes Modulo Theories via Covers and Automata | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2310.12180-b31b1b.svg)](https://arxiv.org/abs/2310.12180) | :heavy_minus_sign: | | 12365 | Tree-of-Reasoning Question Decomposition for Complex Question Answering with Large Language Models | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 5512 | Motif-Aware Riemannian Graph Neural Network with Generative-Contrastive Learning | [![GitHub](https://img.shields.io/github/stars/RiemannGraph/MotifRGC?style=flat)](https://github.com/RiemannGraph/MotifRGC) | [![arXiv](https://img.shields.io/badge/arXiv-2401.01232-b31b1b.svg)](https://arxiv.org/abs/2401.01232) | :heavy_minus_sign: | | 7475 | Non-Monotone Sequential Submodular Maximization | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2308.08641-b31b1b.svg)](https://arxiv.org/abs/2308.08641) | :heavy_minus_sign: | | 10749 | Automated Defect Report Generation for Enhanced Industrial Quality Control | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 9124 | A Computation-Aware Shape Loss Function for Point Cloud Completion | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 7638 | Emotion Rendering for Conversational Speech Synthesis with Heterogeneous Graph-based Context Modeling | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://walker-hyf.github.io/ECSS/)
[![GitHub](https://img.shields.io/github/stars/walker-hyf/ECSS?style=flat)](https://github.com/walker-hyf/ECSS) | [![arXiv](https://img.shields.io/badge/arXiv-2312.11947-b31b1b.svg)](https://arxiv.org/abs/2312.11947) | :heavy_minus_sign: | | 6909 | Finding Interpretable Class-Specific Patterns through Efficient Neural Search | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.04311-b31b1b.svg)](https://arxiv.org/abs/2312.04311) | :heavy_minus_sign: | | 7319 | Domain Generalization with Vital Phase Augmentation | [![GitHub](https://img.shields.io/github/stars/excitedkid/vipaug?style=flat)](https://github.com/excitedkid/vipaug) | [![arXiv](https://img.shields.io/badge/arXiv-2312.16451-b31b1b.svg)](https://arxiv.org/abs/2312.16451) | :heavy_minus_sign: | | 482 | Adversarial Purification with the Manifold Hypothesis | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2210.14404-b31b1b.svg)](https://arxiv.org/abs/2210.14404) | :heavy_minus_sign: | | 6900 | Cross-Gate MLP with Protein Complex Invariant Embedding is a One-Shot Antibody Designer | [![GitHub](https://img.shields.io/github/stars/A4Bio/ADesigner?style=flat)](https://github.com/A4Bio/ADesigner) | [![arXiv](https://img.shields.io/badge/arXiv-2305.09480-b31b1b.svg)](https://arxiv.org/abs/2305.09480) | :heavy_minus_sign: | | 4115 | DiffAIL: Diffusion Adversarial Imitation Learning | [![GitHub](https://img.shields.io/github/stars/ML-Group-SDU/DiffAIL?style=flat)](https://github.com/ML-Group-SDU/DiffAIL) | [![arXiv](https://img.shields.io/badge/arXiv-2312.06348-b31b1b.svg)](https://arxiv.org/abs/2312.06348) | :heavy_minus_sign: | | 1249 | Learning to Unlearn: Instance-Wise Unlearning for Pre-trained Classifiers | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2301.11578-b31b1b.svg)](https://arxiv.org/abs/2301.11578) | :heavy_minus_sign: | | 11447 | Learning-Augmented Online Algorithm for Two-Level Ski-Rental Problem | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2402.06715-b31b1b.svg)](https://arxiv.org/abs/2402.06715) | :heavy_minus_sign: | | 5865 | Visual Instruction Tuning with Polite Flamingo | [![GitHub](https://img.shields.io/github/stars/ChenDelong1999/polite-flamingo?style=flat)](https://github.com/ChenDelong1999/polite-flamingo) | [![arXiv](https://img.shields.io/badge/arXiv-2307.01003-b31b1b.svg)](https://arxiv.org/abs/2307.01003) | :heavy_minus_sign: | | 9943 | Rethinking Propagation for Unsupervised Graph Domain Adaptation | [![GitHub](https://img.shields.io/github/stars/Meihan-Liu/24AAAI-A2GNN?style=flat)](https://github.com/Meihan-Liu/24AAAI-A2GNN) | [![arXiv](https://img.shields.io/badge/arXiv-2402.05660-b31b1b.svg)](https://arxiv.org/abs/2402.05660) | :heavy_minus_sign: | | 10812 | A General Theoretical Framework for Learning Smallest Interpretable Models | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 2583 | Arithmetic Feature Interaction is Necessary for Deep Tabular Learning | [![GitHub](https://img.shields.io/github/stars/aigc-apps/AMFormer?style=flat)](https://github.com/aigc-apps/AMFormer) | [![arXiv](https://img.shields.io/badge/arXiv-2402.02334-b31b1b.svg)](https://arxiv.org/abs/2402.02334) | :heavy_minus_sign: | | 2290 | Structural Information Guided Multimodal Pre-Training for Vehicle-Centric Perception | [![GitHub](https://img.shields.io/github/stars/Event-AHU/VehicleMAE?style=flat)](https://github.com/Event-AHU/VehicleMAE) | [![arXiv](https://img.shields.io/badge/arXiv-2312.09812-b31b1b.svg)](https://arxiv.org/abs/2312.09812) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=IL4KUA5NAnk) | | 13772 | DiffRAW: Leveraging Diffusion Model to Generate DSLR-Comparable Perceptual Quality sRGB from Smartphone RAW Images | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 6313 | Optimistic Model Rollouts for Pessimistic Offline Policy Optimization | [![GitHub](https://img.shields.io/github/stars/George-Chia/ORPO?style=flat)](https://github.com/George-Chia/ORPO) | [![arXiv](https://img.shields.io/badge/arXiv-2401.05899-b31b1b.svg)](https://arxiv.org/abs/2401.05899) | :heavy_minus_sign: | | 5719 | CIDR: A Cooperative Integrated Dynamic Refining Method for Minimal Feature Removal Problem | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.08157-b31b1b.svg)](https://arxiv.org/abs/2312.08157) | :heavy_minus_sign: | | 3569 | Learning Multimodal Volumetric Features for Large-Scale Neuron Tracing | [![GitHub](https://img.shields.io/github/stars/Levishery/Flywire-Neuron-Tracing?style=flat)](https://github.com/Levishery/Flywire-Neuron-Tracing) | [![arXiv](https://img.shields.io/badge/arXiv-2401.03043-b31b1b.svg)](https://arxiv.org/abs/2401.03043) | :heavy_minus_sign: | | 9067 | DART: Dual-Modal Adaptive Online Prompting and Knowledge Retention for Test-Time Adaptation | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 5850 | One-Step Forward and Backtrack: Overcoming Zig-Zagging in Loss-Aware Quantization Training | [![GitHub](https://img.shields.io/github/stars/paperProof24/Appendix_BLAQ?style=flat)](https://github.com/paperProof24/Appendix_BLAQ) | [![arXiv](https://img.shields.io/badge/arXiv-2401.16760-b31b1b.svg)](https://arxiv.org/abs/2401.16760) | :heavy_minus_sign: | | 52 | Not All Tasks are Equally Difficult: Multi-Task Deep Reinforcement Learning with Dynamic Depth Routing | [![GitHub](https://img.shields.io/github/stars/DarkDawn233/D2R_MTRL?style=flat)](https://github.com/DarkDawn233/D2R_MTRL) | [![arXiv](https://img.shields.io/badge/arXiv-2312.14472-b31b1b.svg)](https://arxiv.org/abs/2312.14472) | :heavy_minus_sign: | | 8168 | VQAttack: Transferable Adversarial Attacks on Visual Question Answering via Pre-trained Models | [![GitHub](https://img.shields.io/github/stars/ericyinyzy/VQAttack?style=flat)](https://github.com/ericyinyzy/VQAttack) | [![arXiv](https://img.shields.io/badge/arXiv-2402.11083-b31b1b.svg)](https://arxiv.org/abs/2402.11083) | :heavy_minus_sign: | | 9806 | Behavioral Recognition of Skeletal Data based on Targeted Dual Fusion Strategy | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 6810 | Contextual Pre-Planning on Reward Machine Abstractions for Enhanced Transfer in Deep Reinforcement Learning | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2307.05209-b31b1b.svg)](https://arxiv.org/abs/2307.05209) | :heavy_minus_sign: | | 5668 | EnMatch: Matchmaking for Better Player Engagement via Neural Combinatorial Optimization | [![GitHub](https://img.shields.io/github/stars/anonymouss2023/EnMatch?style=flat)](https://github.com/anonymouss2023/EnMatch) | :heavy_minus_sign: | :heavy_minus_sign: | | 6926 | Graph of Thoughts: Solving Elaborate Problems with Large Language Models | [![GitHub](https://img.shields.io/github/stars/spcl/graph-of-thoughts?style=flat)](https://github.com/spcl/graph-of-thoughts) | [![arXiv](https://img.shields.io/badge/arXiv-2308.09687-b31b1b.svg)](https://arxiv.org/abs/2308.09687) | :heavy_minus_sign: | ================================================ FILE: sections/2024/main/1201_1400.md ================================================ # AAAI-2024-Papers
Application App
## 1201-1400 papers ![Section Papers](https://img.shields.io/badge/Section%20Papers-110-42BA16) ![Preprint Papers](https://img.shields.io/badge/Preprint%20Papers-74-b31b1b) ![Papers with Open Code](https://img.shields.io/badge/Papers%20with%20Open%20Code-47-1D7FBF) ![Papers with Video](https://img.shields.io/badge/Papers%20with%20Video-1-FF0000) | :id: | **Title** | **Repo** | **Paper** | **Video** | |------|-----------|:--------:|:---------:|:---------:| | 9215 | Semi-Supervised Active Learning for Video Action Detection | [![GitHub](https://img.shields.io/github/stars/AKASH2907/semi_sup_active_learning?style=flat)](https://github.com/AKASH2907/semi_sup_active_learning) | [![arXiv](https://img.shields.io/badge/arXiv-2312.07169-b31b1b.svg)](https://arxiv.org/abs/2312.07169) | :heavy_minus_sign: | | 2134 | DiffSED: Sound Event Detection with Denoising Diffusion | [![GitHub](https://img.shields.io/github/stars/sauradip/DiffSED?style=flat)](https://github.com/sauradip/DiffSED) | [![arXiv](https://img.shields.io/badge/arXiv-2308.07293-b31b1b.svg)](https://arxiv.org/abs/2308.07293) | :heavy_minus_sign: | | 1550 | Deep Copula-based Survival Analysis for Dependent Censoring with Identifiability Guarantees | [![GitHub](https://img.shields.io/github/stars/WeijiaZhang24/DCSurvival?style=flat)](https://github.com/WeijiaZhang24/DCSurvival) | [![arXiv](https://img.shields.io/badge/arXiv-2312.15566-b31b1b.svg)](https://arxiv.org/abs/2312.15566) | :heavy_minus_sign: | | 11652 | Task Contamination: Language Models May Not Be Few-Shot Anymore | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.16337-b31b1b.svg)](https://arxiv.org/abs/2312.16337) | :heavy_minus_sign: | | 11718 | United We Stand: Using Epoch-Wise Agreement of Ensembles to Combat Overfit | [![GitHub](https://img.shields.io/github/stars/uristern123/United-We-Stand-Using-Epoch-wise-Agreement-of-Ensembles-to-Combat-Overfit?style=flat)](https://github.com/uristern123/United-We-Stand-Using-Epoch-wise-Agreement-of-Ensembles-to-Combat-Overfit) | [![arXiv](https://img.shields.io/badge/arXiv-2310.11077-b31b1b.svg)](https://arxiv.org/abs/2310.11077) | :heavy_minus_sign: | | 9830 | ESRL: Efficient Sampling-based Reinforcement Learning for Sequence Generation | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2308.02223-b31b1b.svg)](https://arxiv.org/abs/2308.02223) | :heavy_minus_sign: | | 7491 | Sparse Bayesian Deep Learning for Cross Domain Medical Image Reconstruction | [![GitHub](https://img.shields.io/github/stars/Habseligkeiten87/SBDL?style=flat)](https://github.com/Habseligkeiten87/SBDL) | :heavy_minus_sign: | :heavy_minus_sign: | | 7349 | GraFITi: Graphs for Forecasting Irregularly Sampled Time Series | [![GitHub](https://img.shields.io/github/stars/ForestsKing/GraFITi?style=flat)](https://github.com/ForestsKing/GraFITi) | [![arXiv](https://img.shields.io/badge/arXiv-2305.12932-b31b1b.svg)](https://arxiv.org/abs/2305.12932) | :heavy_minus_sign: | | 1454 | Attack Deterministic Conditional Image Generative Models for Diverse and Controllable Generation | [![GitHub](https://img.shields.io/github/stars/1911cty/Attack-deterministic-generative-model?style=flat)](https://github.com/1911cty/Attack-deterministic-generative-model) | [![arXiv](https://img.shields.io/badge/arXiv-2403.08294-b31b1b.svg)](https://arxiv.org/abs/2403.08294) | :heavy_minus_sign: | | 5725 | Conditional Backdoor Attack via JPEG Compression | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 10491 | Multi-Granularity Causal Structure Learning | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.05549-b31b1b.svg)](https://arxiv.org/abs/2312.05549) | :heavy_minus_sign: | | 12087 | Limitations of Face Image Generation | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 5602 | Consistency-GAN: Training GANs with Consistency Model | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 6402 | NeRF-VPT: Learning Novel View Representations with Neural Radiance Fields via View Prompt Tuning | [![GitHub](https://img.shields.io/github/stars/Freedomcls/NeRF-VPT?style=flat)](https://github.com/Freedomcls/NeRF-VPT) | [![arXiv](https://img.shields.io/badge/arXiv-2403.01325-b31b1b.svg)](https://arxiv.org/abs/2403.01325) | :heavy_minus_sign: | | 3426 | Regulating Intermediate 3D Features for Vision-Centric Autonomous Driving | [![GitHub](https://img.shields.io/github/stars/cskkxjk/Vampire?style=flat)](https://github.com/cskkxjk/Vampire) | [![arXiv](https://img.shields.io/badge/arXiv-2312.11837-b31b1b.svg)](https://arxiv.org/abs/2312.11837) | :heavy_minus_sign: | | 2043 | Improved MLP Point Cloud Processing with High-Dimensional Positional Encoding | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 2243 | ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection | [![GitHub](https://img.shields.io/github/stars/jweihe/ADA-GAD?style=flat)](https://github.com/jweihe/ADA-GAD) | [![arXiv](https://img.shields.io/badge/arXiv-2312.14535-b31b1b.svg)](https://arxiv.org/abs/2312.14535) | :heavy_minus_sign: | | 11879 | Distributional Off-Policy Evaluation for Slate Recommendations | [![GitHub](https://img.shields.io/github/stars/shreyasc-13/SUnO?style=flat)](https://github.com/shreyasc-13/SUnO) | [![arXiv](https://img.shields.io/badge/arXiv-2308.14165-b31b1b.svg)](https://arxiv.org/abs/2308.14165) | :heavy_minus_sign: | | 8318 | Optimal Transport with Tempered Exponential Measures | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2309.04015-b31b1b.svg)](https://arxiv.org/abs/2309.04015) | :heavy_minus_sign: | | 11293 | Cross-Class Feature Augmentation for Class Incremental Learning | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2304.01899-b31b1b.svg)](https://arxiv.org/abs/2304.01899) | :heavy_minus_sign: | | 10783 | The Complexity of Optimizing Atomic Congestion | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.10219-b31b1b.svg)](https://arxiv.org/abs/2312.10219) | :heavy_minus_sign: | | 3515 | Protein 3D Graph Structure Learning for Robust Structure-based Protein Property Prediction | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2310.11466-b31b1b.svg)](https://arxiv.org/abs/2310.11466) | :heavy_minus_sign: | | 780 | Learning Discriminative Noise Guidance for Image Forgery Detection and Localization | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 8284 | Federated X-Armed Bandit | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2205.15268-b31b1b.svg)](https://arxiv.org/abs/2205.15268) | :heavy_minus_sign: | | 3752 | Decoupled Textual Embeddings for Customized Image Generation | [![GitHub](https://img.shields.io/github/stars/PrototypeNx/DETEX?style=flat)](https://github.com/PrototypeNx/DETEX) | [![arXiv](https://img.shields.io/badge/arXiv-2312.11826-b31b1b.svg)](https://arxiv.org/abs/2312.11826) | :heavy_minus_sign: | | 8976 | PointAttN: You Only Need Attention for Point Cloud Completion | [![GitHub](https://img.shields.io/github/stars/ohhhyeahhh/PointAttN?style=flat)](https://github.com/ohhhyeahhh/PointAttN) | [![arXiv](https://img.shields.io/badge/arXiv-2203.08485-b31b1b.svg)](https://arxiv.org/abs/2203.08485) | :heavy_minus_sign: | | 2382 | SSMG: Spatial-Semantic Map Guided Diffusion Model for Free-Form Layout-to-Image Generation | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2308.10156-b31b1b.svg)](https://arxiv.org/abs/2308.10156) | :heavy_minus_sign: | | 6385 | Efficient Spiking Neural Networks with Sparse Selective Activation for Continual Learning | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 7471 | PNeRFLoc: Visual Localization with Point-based Neural Radiance Fields | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://zju3dv.github.io/PNeRFLoc/)
[![GitHub](https://img.shields.io/github/stars/BoMingZhao/PNeRFLoc?style=flat)](https://github.com/BoMingZhao/PNeRFLoc) | [![arXiv](https://img.shields.io/badge/arXiv-2312.10649-b31b1b.svg)](https://arxiv.org/abs/2312.10649) | :heavy_minus_sign: | | 12181 | What do Hebbian Learners Learn? Reduction Axioms for Unstable Hebbian Learning | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 10725 | SAT-based Tree Decomposition with Iterative Cascading Policy Selection | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 964 | Measuring Self-Supervised Representation Quality for Downstream Classification using Discriminative Features | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2203.01881-b31b1b.svg)](https://arxiv.org/abs/2203.01881) | :heavy_minus_sign: | | 1497 | Once and for All: Universal Transferable Adversarial Perturbation against Deep Hashing-based Facial Image Retrieval | [![GitHub](https://img.shields.io/github/stars/t2222l/UTAP?style=flat)](https://github.com/t2222l/UTAP) | :heavy_minus_sign: | :heavy_minus_sign: | | 1066 | Benchmarking Large Language Models on Controllable Generation under Diversified Instructions | [![GitHub](https://img.shields.io/github/stars/Xt-cyh/CoDI-Eval?style=flat)](https://github.com/Xt-cyh/CoDI-Eval) | [![arXiv](https://img.shields.io/badge/arXiv-2401.00690-b31b1b.svg)](https://arxiv.org/abs/2401.00690) | :heavy_minus_sign: | | 13218 | Transformer-based Selective Super-Resolution for Efficient Image Refinement | [![GitHub](https://img.shields.io/github/stars/destiny301/SSR?style=flat)](https://github.com/destiny301/SSR) | [![arXiv](https://img.shields.io/badge/arXiv-2312.05803-b31b1b.svg)](https://arxiv.org/abs/2312.05803) | :heavy_minus_sign: | | 5104 | Point Cloud Part Editing: Segmentation, Generation, Assembly, and Selection | [![GitHub](https://img.shields.io/github/stars/kaiyizhang/SGAS?style=flat)](https://github.com/kaiyizhang/SGAS) | [![arXiv](https://img.shields.io/badge/arXiv-2312.11867-b31b1b.svg)](https://arxiv.org/abs/2312.11867) | :heavy_minus_sign: | | 8094 | Neural Oscillators for Generalization of Physics-Informed Machine Learning | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2308.08989-b31b1b.svg)](https://arxiv.org/abs/2308.08989) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=zJExHI-MYvE) | | 1854 | Maximizing Nash Social Welfare under Two-Sided Preferences | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.09167-b31b1b.svg)](https://arxiv.org/abs/2312.09167) | :heavy_minus_sign: | | 7942 | Fast Machine Unlearning without Retraining through Selective Synaptic Dampening | [![GitHub](https://img.shields.io/github/stars/if-loops/selective-synaptic-dampening?style=flat)](https://github.com/if-loops/selective-synaptic-dampening) | [![arXiv](https://img.shields.io/badge/arXiv-2308.07707-b31b1b.svg)](https://arxiv.org/abs/2308.07707) | :heavy_minus_sign: | | 12061 | NeSyFOLD: A Framework for Interpretable Image Classification | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2301.12667-b31b1b.svg)](https://arxiv.org/abs/2301.12667) | :heavy_minus_sign: | | 4890 | MESED: A Multi-Modal Entity Set Expansion Dataset with Fine-Grained Semantic Classes and Hard Negative Entities | [![GitHub](https://img.shields.io/github/stars/THUKElab/MESED?style=flat)](https://github.com/THUKElab/MESED) | [![arXiv](https://img.shields.io/badge/arXiv-2307.14878-b31b1b.svg)](https://arxiv.org/abs/2307.14878) | :heavy_minus_sign: | | 2690 | Decoupling Degradations with Recurrent Network for Video Restoration in Under-Display Camera | [![GitHub](https://img.shields.io/github/stars/ChengxuLiu/DDRNet?style=flat)](https://github.com/ChengxuLiu/DDRNet) | [![arXiv](https://img.shields.io/badge/arXiv-2403.05660-b31b1b.svg)](https://arxiv.org/abs/2403.05660) | :heavy_minus_sign: | | 11024 | Learning Temporal Resolution in Spectrogram for Audio Classification | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2210.01719-b31b1b.svg)](https://arxiv.org/abs/2210.01719) | :heavy_minus_sign: | | 8142 | FLAME: A Small Language Model for Spreadsheet Formulas | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2301.13779-b31b1b.svg)](https://arxiv.org/abs/2301.13779) | :heavy_minus_sign: | | 2358 | A Robust Mutual-Reinforcing Framework for 3D Multi-Modal Medical Image Fusion based on Visual-Semantic Consistency | [![GitHub](https://img.shields.io/github/stars/HaoZhang1018/RMR-Fusion?style=flat)](https://github.com/HaoZhang1018/RMR-Fusion) | :heavy_minus_sign: | :heavy_minus_sign: | | 954 | Devignet: High-Resolution Vignetting Removal via a Dual Aggregated Fusion Transformer with Adaptive Channel Expansion | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://cxh-research.github.io/DeVigNet/)
[![GitHub](https://img.shields.io/github/stars/CXH-Research/DeVigNet?style=flat)](https://github.com/CXH-Research/DeVigNet) | [![arXiv](https://img.shields.io/badge/arXiv-2308.13739-b31b1b.svg)](https://arxiv.org/abs/2308.13739) | :heavy_minus_sign: | | 7779 | KGDM: A Diffusion Model to Capture Multiple Relation Semantics for Knowledge Graph Embedding | [![GitHub](https://img.shields.io/github/stars/key2long/KGDM?style=flat)](https://github.com/key2long/KGDM) | :heavy_minus_sign: | :heavy_minus_sign: | | 1990 | Catalyst for Clustering-based Unsupervised Object Re-Identification: Feature Calibration | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 8347 | Proportional Representation in Metric Spaces and Low-Distortion Committee Selection | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.10369-b31b1b.svg)](https://arxiv.org/abs/2312.10369) | :heavy_minus_sign: | | 381 | Finding Visual Saliency in Continuous Spike Stream | [![GitHub](https://img.shields.io/github/stars/BIT-Vision/SVS?style=flat)](https://github.com/BIT-Vision/SVS) | [![arXiv](https://img.shields.io/badge/arXiv-2403.06233-b31b1b.svg)](https://arxiv.org/abs/2403.06233) | :heavy_minus_sign: | | 13166 | Completing Priceable Committees: Utilitarian and Representation Guarantees for Proportional Multiwinner Voting | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.08187-b31b1b.svg)](https://arxiv.org/abs/2312.08187) | :heavy_minus_sign: | | 12995 | MindMap: Constructing Evidence Chains for Multi-Step Reasoning in Large Language Models | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 13572 | Simplicity Bias in Overparameterized Machine Learning | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 10254 | Plug-In Diffusion Model for Sequential Recommendation | [![GitHub](https://img.shields.io/github/stars/hulkima/PDRec?style=flat)](https://github.com/hulkima/PDRec) | [![arXiv](https://img.shields.io/badge/arXiv-2401.02913-b31b1b.svg)](https://arxiv.org/abs/2401.02913) | :heavy_minus_sign: | | 5699 | Curvature-Invariant Adversarial Attacks for 3D Point Clouds | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 10312 | Contrastive Continual Learning with Importance Sampling and Prototype-Instance Relation Distillation | [![GitHub](https://img.shields.io/github/stars/lijy373/CCLIS?style=flat)](https://github.com/lijy373/CCLIS) | [![arXiv](https://img.shields.io/badge/arXiv-2403.04599-b31b1b.svg)](https://arxiv.org/abs/2403.04599) | :heavy_minus_sign: | | 4029 | Adaptive Integration of Partial Label Learning and Negative Learning for Enhanced Noisy Label Learning | [![GitHub](https://img.shields.io/github/stars/NUST-Machine-Intelligence-Laboratory/NPN?style=flat)](https://github.com/NUST-Machine-Intelligence-Laboratory/NPN) | [![arXiv](https://img.shields.io/badge/arXiv-2312.09505-b31b1b.svg)](https://arxiv.org/abs/2312.09505) | :heavy_minus_sign: | | 12641 | Robust Beamforming for Downlink Multi-Cell Systems: A Bilevel Optimization Perspective | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2401.11409-b31b1b.svg)](https://arxiv.org/abs/2401.11409) | :heavy_minus_sign: | | 13000 | CoLAL: Co-Learning Active Learning for Text Classification | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 10520 | Targeted Activation Penalties Help CNNs Ignore Spurious Signals | [![GitHub](https://img.shields.io/github/stars/dkaizhang/TAP?style=flat)](https://github.com/dkaizhang/TAP) | [![arXiv](https://img.shields.io/badge/arXiv-2311.12813-b31b1b.svg)](https://arxiv.org/abs/2311.12813) | :heavy_minus_sign: | | 5476 | DIUSum: Dynamic Image Utilization for Multimodal Summarization | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 10354 | FedLF: Layer-Wise Fair Federated Learning | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 11575 | Paths, Proofs, and Perfection: Developing a Human-Interpretable Proof System for Constrained Shortest Paths | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 5727 | Robustly Improving Bandit Algorithms with Confounded and Selection Biased Offline Data: A Causal Approach | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.12731-b31b1b.svg)](https://arxiv.org/abs/2312.12731) | :heavy_minus_sign: | | 10141 | VQCNIR: Clearer Night Image Restoration with Vector-Quantized Codebook | [![GitHub](https://img.shields.io/github/stars/AlexZou14/VQCNIR?style=flat)](https://github.com/AlexZou14/VQCNIR) | [![arXiv](https://img.shields.io/badge/arXiv-2312.08606-b31b1b.svg)](https://arxiv.org/abs/2312.08606) | :heavy_minus_sign: | | 11338 | NILUT: Conditional Neural Implicit 3D Lookup Tables for Image Enhancement | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://mv-lab.github.io/nilut/)
[![GitHub](https://img.shields.io/github/stars/mv-lab/nilut?style=flat)](https://github.com/mv-lab/nilut) | [![arXiv](https://img.shields.io/badge/arXiv-2306.11920-b31b1b.svg)](https://arxiv.org/abs/2306.11920) | :heavy_minus_sign: | | 8155 | On Estimating the Gradient of the Expected Information Gain in Bayesian Experimental Design | [![GitHub](https://img.shields.io/github/stars/ziq-ao/GradEIG?style=flat)](https://github.com/ziq-ao/GradEIG) | [![arXiv](https://img.shields.io/badge/arXiv-2308.09888-b31b1b.svg)](https://arxiv.org/abs/2308.09888) | :heavy_minus_sign: | | 4010 | Depth-Guided Robust and Fast Point Cloud Fusion NeRF for Sparse Input Views | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2403.02063-b31b1b.svg)](https://arxiv.org/abs/2403.02063) | :heavy_minus_sign: | | 6550 | Discerning Temporal Difference Learning | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2310.08091-b31b1b.svg)](https://arxiv.org/abs/2310.08091) | :heavy_minus_sign: | | 10920 | PA2D-MORL: Pareto Ascent Directional Decomposition based Multi-Objective Reinforcement Learning | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 8221 | SafeAR: Safe Algorithmic Recourse by Risk-Aware Policies | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2308.12367-b31b1b.svg)](https://arxiv.org/abs/2308.12367) | :heavy_minus_sign: | | 5121 | Communication-Efficient Collaborative Regret Minimization in Multi-Armed Bandits | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2301.11442-b31b1b.svg)](https://arxiv.org/abs/2301.11442) | :heavy_minus_sign: | | 2814 | Multi-Scene Generalized Trajectory Global Graph Solver with Composite Nodes for Multiple Object Tracking | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.08951-b31b1b.svg)](https://arxiv.org/abs/2312.08951) | :heavy_minus_sign: | | 6785 | Multimodal Graph Neural Architecture Search under Distribution Shifts | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 1453 | Summarizing Stream Data for Memory-Constrained Online Continual Learning | [![GitHub](https://img.shields.io/github/stars/vimar-gu/SSD?style=flat)](https://github.com/vimar-gu/SSD) | [![arXiv](https://img.shields.io/badge/arXiv-2305.16645-b31b1b.svg)](https://arxiv.org/abs/2305.16645) | :heavy_minus_sign: | | 121 | Progressive Poisoned Data Isolation for Training-Time Backdoor Defense | [![GitHub](https://img.shields.io/github/stars/RorschachChen/PIPD?style=flat)](https://github.com/RorschachChen/PIPD) | [![arXiv](https://img.shields.io/badge/arXiv-2312.12724-b31b1b.svg)](https://arxiv.org/abs/2312.12724) | :heavy_minus_sign: | | 1718 | A Dynamic GCN with Cross-Representation Distillation for Event-based Learning | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 9201 | Vision Transformer Off-the-Shelf: A Surprising Baseline for Few-Shot Class-Agnostic Counting | [![GitHub](https://img.shields.io/github/stars/Xu3XiWang/CACViT?style=flat)](https://github.com/Xu3XiWang/CACViT) | [![arXiv](https://img.shields.io/badge/arXiv-2305.04440-b31b1b.svg)](https://arxiv.org/abs/2305.04440) | :heavy_minus_sign: | | 10229 | Fine-Grained Distillation for Long Document Retrieval | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2212.10423-b31b1b.svg)](https://arxiv.org/abs/2212.10423) | :heavy_minus_sign: | | 10087 | Simultaneous Optimization of Bid Shading and Internal Auction for Demand-Side Platforms | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 3597 | Let There Be Sound: Reconstructing High Quality Speech from Silent Videos | [![WEB Page](https://img.shields.io/badge/WEB-Page-159957.svg)](https://mm.kaist.ac.kr/projects/LTBS/) | [![arXiv](https://img.shields.io/badge/arXiv-2308.15256-b31b1b.svg)](https://arxiv.org/abs/2308.15256) | :heavy_minus_sign: | | 2513 | Explaining Generalization Power of a DNN using Interactive Concepts | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 6932 | Text2City: One-Stage Text-Driven Urban Layout Regeneration | [![GitHub](https://img.shields.io/github/stars/LittleQBerry/Text2City?style=flat)](https://github.com/LittleQBerry/Text2City) | :heavy_minus_sign: | :heavy_minus_sign: | | 1017 | ShapeBoost: Boosting Human Shape Estimation with Part-based Parameterization and Clothing-Preserving Augmentation | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2403.01345-b31b1b.svg)](https://arxiv.org/abs/2403.01345) | :heavy_minus_sign: | | 11145 | Graph Invariant Learning with Subgraph Co-Mixup for Out-of-Distribution Generalization | [![GitHub](https://img.shields.io/github/stars/BUPT-GAMMA/IGM?style=flat)](https://github.com/BUPT-GAMMA/IGM) | [![arXiv](https://img.shields.io/badge/arXiv-2312.10988-b31b1b.svg)](https://arxiv.org/abs/2312.10988) | :heavy_minus_sign: | | 12598 | Unsupervised Object Interaction Learning with Counterfactual Dynamics Models | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 10482 | Symbolic Cognitive Diagnosis via Hybrid Optimization for Intelligent Education Systems | [![GitHub](https://img.shields.io/github/stars/ECNU-ILOG/SymbolicCDM?style=flat)](https://github.com/ECNU-ILOG/SymbolicCDM) | [![arXiv](https://img.shields.io/badge/arXiv-2401.10840-b31b1b.svg)](https://arxiv.org/abs/2401.10840) | :heavy_minus_sign: | | 12279 | Value Kaleidoscope: Engaging AI with Pluralistic Human Values, Rights, and Duties | [![GitHub](https://img.shields.io/github/stars/tsor13/kaleido?style=flat)](https://github.com/tsor13/kaleido) | [![arXiv](https://img.shields.io/badge/arXiv-2309.00779-b31b1b.svg)](https://arxiv.org/abs/2309.00779) | :heavy_minus_sign: | | 13057 | Unsupervised Extractive Summarization with Learnable Length Control Strategies | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.06901-b31b1b.svg)](https://arxiv.org/abs/2312.06901) | :heavy_minus_sign: | | 4583 | Neural Gaussian Similarity Modeling for Differential Graph Structure Learning | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.09498-b31b1b.svg)](https://arxiv.org/abs/2312.09498) | :heavy_minus_sign: | | 7800 | Dual Self-Paced Cross-Modal Hashing | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 11371 | Optimal Survival Trees: A Dynamic Programming Approach | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2401.04489-b31b1b.svg)](https://arxiv.org/abs/2401.04489) | :heavy_minus_sign: | | 12265 | Expediting Contrastive Language-Image Pretraining via Self-Distilled Encoders | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.12659-b31b1b.svg)](https://arxiv.org/abs/2312.12659) | :heavy_minus_sign: | | 7708 | Dynamic Semantic-based Spatial Graph Convolution Network for Skeleton-based Human Action Recognition | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 8974 | LISR: Learning Linear 3D Implicit Surface Representation using Compactly Supported Radial Basis Functions | [![GitHub](https://img.shields.io/github/stars/Atharvap14/LISR?style=flat)](https://github.com/Atharvap14/LISR) | [![arXiv](https://img.shields.io/badge/arXiv-2402.07301-b31b1b.svg)](https://arxiv.org/abs/2402.07301) | :heavy_minus_sign: | | 11163 | FM-OV3D: Foundation Model-based Cross-Modal Knowledge Blending for Open-Vocabulary 3D Detection | [![GitHub](https://img.shields.io/github/stars/dmzhang0425/FM-OV3D?style=flat)](https://github.com/dmzhang0425/FM-OV3D) | [![arXiv](https://img.shields.io/badge/arXiv-2312.14465-b31b1b.svg)](https://arxiv.org/abs/2312.14465) | :heavy_minus_sign: | | 10970 | FedLPS: Heterogeneous Federated Learning for Multiple Tasks with Local Parameter Sharing | [![GitHub](https://img.shields.io/github/stars/jyzgh/FedLPS?style=flat)](https://github.com/jyzgh/FedLPS) | [![arXiv](https://img.shields.io/badge/arXiv-2402.08578-b31b1b.svg)](https://arxiv.org/abs/2402.08578) | :heavy_minus_sign: | | 12306 | Jointly Modeling Spatio-Temporal Features of Tactile Signals for Action Classification | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 8750 | An Interpretable Approach to the Solutions of High-Dimensional Partial Differential Equations | [![GitHub](https://img.shields.io/github/stars/grassdeerdeer/HD-TLGP?style=flat)](https://github.com/grassdeerdeer/HD-TLGP) | :heavy_minus_sign: | :heavy_minus_sign: | | 5531 | Compressing Image-to-Image Translation GANs using Local Density Structures on Their Learned Manifold | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.14776-b31b1b.svg)](https://arxiv.org/abs/2312.14776) | :heavy_minus_sign: | | 12458 | Detecting and Preventing Hallucinations in Large Vision Language Models | [![GitHub](https://img.shields.io/github/stars/hendryx-scale/mhal-detect?style=flat)](https://github.com/hendryx-scale/mhal-detect) | [![arXiv](https://img.shields.io/badge/arXiv-2308.06394-b31b1b.svg)](https://arxiv.org/abs/2308.06394) | :heavy_minus_sign: | | 9707 | Debiased Novel Category Discovering and Localization | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2402.18821-b31b1b.svg)](https://arxiv.org/abs/2402.18821) | :heavy_minus_sign: | | 8199 | SHAP@k: Efficient and Probably Approximately Correct (PAC) Identification of Top-K Features | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2307.04850-b31b1b.svg)](https://arxiv.org/abs/2307.04850) | :heavy_minus_sign: | | 108 | Correlation Matching Transformation Transformers for UHD Image Restoration | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 7839 | Wasserstein Differential Privacy | [![GitHub](https://img.shields.io/github/stars/Hifipsysta/WDP?style=flat)](https://github.com/Hifipsysta/WDP) | [![arXiv](https://img.shields.io/badge/arXiv-2401.12436-b31b1b.svg)](https://arxiv.org/abs/2401.12436) | :heavy_minus_sign: | | 8714 | Exploiting Discrepancy in Feature Statistic for Out-of-Distribution Detection | [![GitHub](https://img.shields.io/github/stars/SYSU-MIA-GROUP/statistical_discrepancy_ood?style=flat)](https://github.com/SYSU-MIA-GROUP/statistical_discrepancy_ood) | :heavy_minus_sign: | :heavy_minus_sign: | | 2175 | Bi-Directional Adapter for Multimodal Tracking | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 8714 | Using Stratified Sampling to Improve LIME Image Explanations | [![GitHub](https://img.shields.io/github/stars/rashidrao-pk/lime-stratified-examples?style=flat)](https://github.com/rashidrao-pk/lime-stratified-examples) | [![arXiv](https://img.shields.io/badge/arXiv-2403.17742-b31b1b.svg)](https://arxiv.org/abs/2403.17742) | :heavy_minus_sign: | | 6212 | Multi-Constellation-Inspired Single-Shot Global LiDAR Localization | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 8714 | M3SOT: Multi-Frame, Multi-Field, Multi-Space 3D Single Object Tracking | [![GitHub](https://img.shields.io/github/stars/liujia99/M3SOT?style=flat)](https://github.com/liujia99/M3SOT) | [![arXiv](https://img.shields.io/badge/arXiv-2312.06117-b31b1b.svg)](https://arxiv.org/abs/2312.06117) | :heavy_minus_sign: | | 263 | MSGNet: Learning Multi-Scale Inter-Series Correlations for Multivariate Time Series Forecasting | | | | | 12807 | Value at Adversarial Risk: A Graph Defense Strategy against Cost-Aware Attacks | | [![arXiv](https://img.shields.io/badge/arXiv-2006.08900-b31b1b.svg)](https://arxiv.org/abs/2006.08900) | | | 3200 | HuTuMotion: Human-Tuned Navigation of Latent Motion Diffusion Models with Minimal Feedback | | | | | 1729 | NN-Steiner: A Mixed Neural-Algorithmic Approach for the Rectilinear Steiner Minimum Tree Problem | | | | | 8634 | Asymmetric Mutual Alignment for Unsupervised Zero-Shot Sketch-based Image Retrieval | | [![arXiv](https://img.shields.io/badge/arXiv-2002.02255-b31b1b.svg)](https://arxiv.org/abs/2002.02255) | | | 10779 | MotionGPT: Finetuned LLMs Are General-Purpose Motion Generators | | | | | 7010 | SpaceGTN: A Time-Agnostic Graph Transformer Network for Handwritten Diagram Recognition and Segmentation | | | | | 1253 | A Reinforcement-Learning-based Multiple-Column Selection Strategy for Column Generation | | [![arXiv](https://img.shields.io/badge/arXiv-2312.14213-b31b1b.svg)](https://arxiv.org/abs/2312.14213) | | | 4404 | A Primal-Dual Algorithm for Hybrid Federated Learning | | [![arXiv](https://img.shields.io/badge/arXiv-2009.05868-b31b1b.svg)](https://arxiv.org/abs/2009.05868) | | | 5583 | IRPruneDet: Efficient Infrared Small Target Detection via Wavelet Structure-Regularized Soft Channel Pruning | | | | | 6787 | Negative Pre-aware for Noisy Cross-Modal Matching | | | | | 202 | DALDet: Depth-Aware Learning based Object Detection for Autonomous Driving | | | | | 7710 | AdaCCD: Adaptive Semantic Contrasts Discovery based Cross Lingual Adaptation for Code Clone Detection | | | | | 10625 | Stratified GNN Explanations through Sufficient Expansion | | [![arXiv](https://img.shields.io/badge/arXiv-2401.14578-b31b1b.svg)](https://arxiv.org/abs/2401.14578) | | | 10769 | Backward Responsibility in Transition Systems using General Power Indices | | [![arXiv](https://img.shields.io/badge/arXiv-2402.01539-b31b1b.svg)](https://arxiv.org/abs/2402.01539) | | | 12742 | Review-Enhanced Hierarchical Contrastive Learning for Recommendation | | [![arXiv](https://img.shields.io/badge/arXiv-2308.03400-b31b1b.svg)](https://arxiv.org/abs/2308.03400) | | | 8940 | FashionERN: Enhance-and-Refine Network for Composed Fashion Image Retrieval | | | | | 5280 | Less is more: Label Recommendation for Weakly Supervised Point Cloud Semantic Segmentation | | [![arXiv](https://img.shields.io/badge/arXiv-2212.04744-b31b1b.svg)](https://arxiv.org/abs/2212.04744) | | | 10719 | SAUI: Scale-Aware Unseen Imagineer for Zero-Shot Object Detection | | | | | 4651 | Deciphering Raw Data in Neuro-Symbolic Learning with Provable Guarantees | | [![arXiv](https://img.shields.io/badge/arXiv-2001.07636-b31b1b.svg)](https://arxiv.org/abs/2001.07636) | | | 5888 | What Effects the Generalization in Visual Reinforcement Learning: Policy Consistency with Truncated Return Prediction | | | | | 6299 | Scaling and Masking: A New Paradigm of Data Sampling for Image and Video Quality Assessment | | [![arXiv](https://img.shields.io/badge/arXiv-2209.07526-b31b1b.svg)](https://arxiv.org/abs/2209.07526) | | | 4862 | FedCompetitors: Harmonious Collaboration in Federated Learning with Competing Participants | | | | | 12942 | COMBAT: Alternated Training for Effective Clean-Label Backdoor Attacks | | | | | 3615 | Gradient-guided Modality Decoupling for Missing-Modality Robustness | | [![arXiv](https://img.shields.io/badge/arXiv-2112.09129-b31b1b.svg)](https://arxiv.org/abs/2112.09129) | | | 8394 | Optimistic Policy Gradient in Multi-Player Markov Games with a Single Controller: Convergence beyond the Minty Property | | [![arXiv](https://img.shields.io/badge/arXiv-2110.10614-b31b1b.svg)](https://arxiv.org/abs/2110.10614) | | | 10301 | Open-Vocabulary Video Relation Extraction | | [![arXiv](https://img.shields.io/badge/arXiv-2011.14922-b31b1b.svg)](https://arxiv.org/abs/2011.14922) | | | 1786 | Propagation Tree is not Deep: Adaptive Graph Contrastive Learning Approach for Rumor Detection | | | | | 7016 | Learning Robust Rationales for Model Explainability: A Guidance-based Approach | | [![arXiv](https://img.shields.io/badge/arXiv-2204.11790-b31b1b.svg)](https://arxiv.org/abs/2204.11790) | | | 256 | FontDiffuser: One-Shot Font Generation via Denoising Diffusion with Multi-Scale Content Aggregation and Style Contrastive Learning | | | | | 13083 | Leveraging Diffusion Perturbations for Measuring Fairness in Computer Vision | | [![arXiv](https://img.shields.io/badge/arXiv-2311.15108-b31b1b.svg)](https://arxiv.org/abs/2311.15108) | | | 13719 | Using Clustering to Strengthen Decision Diagram Bounds for Discrete Optimization | | [![arXiv](https://img.shields.io/badge/arXiv-2303.03195-b31b1b.svg)](https://arxiv.org/abs/2303.03195) | | | 8924 | Rethinking the Paradigm of Content Constraints in Unpaired Image-to-Image Translation | | [![arXiv](https://img.shields.io/badge/arXiv-2103.04552-b31b1b.svg)](https://arxiv.org/abs/2103.04552) | | | 1203 | A Unified Masked Autoencoder with Patchified Skeletons for Motion Synthesis | | [![arXiv](https://img.shields.io/badge/arXiv-2308.07301-b31b1b.svg)](https://arxiv.org/abs/2308.07301) | | | 4270 | LAMM: Label Alignment for Multi-Modal Prompt Learning | | | | | 9320 | Knowledge-Enhanced Historical Document Segmentation and Recognition | | [![arXiv](https://img.shields.io/badge/arXiv-2012.05739-b31b1b.svg)](https://arxiv.org/abs/2012.05739) | | | 7477 | Beyond OOD State Actions: Supported Cross-Domain Offline Reinforcement Learning | | [![arXiv](https://img.shields.io/badge/arXiv-2306.12755-b31b1b.svg)](https://arxiv.org/abs/2306.12755) | | | 657 | Scribble Hides Class: Promoting Scribble-based Weakly-Supervised Semantic Segmentation with its Class Label | | [![arXiv](https://img.shields.io/badge/arXiv-1811.02545-b31b1b.svg)](https://arxiv.org/abs/1811.02545) | | | 8379 | EAT: Towards Long-Tailed Out-of-Distribution Detection | | | | | 5770 | Angle Robustness Unmanned Aerial Vehicle Navigation in GNSS-Denied Scenarios | | [![arXiv](https://img.shields.io/badge/arXiv-1808.01940-b31b1b.svg)](https://arxiv.org/abs/1808.01940) | | | 7971 | DenoSent: A Denoising Objective for Self-Supervised Sentence Representation Learning | | | | | 10721 | G2L-CariGAN: Caricature Generation from Global Structure to Local Features | | | | | 7699 | The Complexity of Fair Division of Indivisible Items with Externalities | | [![arXiv](https://img.shields.io/badge/arXiv-1607.02423-b31b1b.svg)](https://arxiv.org/abs/1607.02423) | | | 7328 | A Unified Knowledge Transfer Network for Generalized Category Discovery | | [![arXiv](https://img.shields.io/badge/arXiv-2312.16467-b31b1b.svg)](https://arxiv.org/abs/2312.16467) | | | 10737 | Multi-Step Denoising Scheduled Sampling: Towards Alleviating Exposure Bias for Diffusion Models | | [![arXiv](https://img.shields.io/badge/arXiv-2309.01953-b31b1b.svg)](https://arxiv.org/abs/2309.01953) | | | 6773 | TagFog: Textual Anchor Guidance and Fake Outlier Generation for Visual Out-of-Distribution Detection | | | | | 12623 | Strategyproof Mechanisms for Group-Fair Obnoxious Facility Location Problems | | [![arXiv](https://img.shields.io/badge/arXiv-2212.09521-b31b1b.svg)](https://arxiv.org/abs/2212.09521) | | | 2261 | Vision-Language Pre-Training with Object Contrastive Learning for 3D Scene Understanding | | [![arXiv](https://img.shields.io/badge/arXiv-1703.00050-b31b1b.svg)](https://arxiv.org/abs/1703.00050) | | | 3976 | Manifold-based Verbalizer Space Re-Embedding for Tuning-Free Prompt-based Classification | | [![arXiv](https://img.shields.io/badge/arXiv-2311.10912-b31b1b.svg)](https://arxiv.org/abs/2311.10912) | | | 4319 | Cross-Layer and Cross-Sample Feature Optimization Network for Few-Shot Fine-Grained Image Classification | | [![arXiv](https://img.shields.io/badge/arXiv-2209.03761-b31b1b.svg)](https://arxiv.org/abs/2209.03761) | | | 1780 | Semi-Supervised Blind Image Quality Assessment through Knowledge Distillation and Incremental Learning | | [![arXiv](https://img.shields.io/badge/arXiv-2108.07948-b31b1b.svg)](https://arxiv.org/abs/2108.07948) | | | 6184 | Graph-Aware Contrasting for Multivariate Time-Series Classification | | [![arXiv](https://img.shields.io/badge/arXiv-2002.01890-b31b1b.svg)](https://arxiv.org/abs/2002.01890) | | | 12681 | Learning to Reweight for Generalizable Graph Neural Network | | [![arXiv](https://img.shields.io/badge/arXiv-2312.12475-b31b1b.svg)](https://arxiv.org/abs/2312.12475) | | | 6907 | s-ID: Causal Effect Identification in a Sub-Population | | | | | 11062 | LDS2AE: Local Diffusion Shared-Specific Autoencoder for Multimodal Remote Sensing Image Classification with Arbitrary Missing Modalities | | | | | 7995 | Hidden Follower Detection: How is the Gaze-Spacing Pattern Embodied in Frequency Domain? | | [![arXiv](https://img.shields.io/badge/arXiv-2305.15021-b31b1b.svg)](https://arxiv.org/abs/2305.15021) | | | 105 | WebVLN: Vision-and-Language Navigation on Websites | | | | | 9974 | Fine-Grained Prototypes Distillation for Few-Shot Object Detection | | [![arXiv](https://img.shields.io/badge/arXiv-2210.09022-b31b1b.svg)](https://arxiv.org/abs/2210.09022) | | | 6835 | Advancing Video Synchronization with Fractional Frame Analysis: Introducing a Novel Dataset and Model | | | | | 810 | Unlocking the Power of Open Set: A New Perspective for Open-Set Noisy Label Learning | | [![arXiv](https://img.shields.io/badge/arXiv-2305.04203-b31b1b.svg)](https://arxiv.org/abs/2305.04203) | | | 13326 | Parameterized Projected Bellman Operator | | [![arXiv](https://img.shields.io/badge/arXiv-2309.16819-b31b1b.svg)](https://arxiv.org/abs/2309.16819) | | | 11162 | Multi-Domain Multi-Scale Diffusion Model for Low-Light Image Enhancement | | [![arXiv](https://img.shields.io/badge/arXiv-2208.10350-b31b1b.svg)](https://arxiv.org/abs/2208.10350) | | | 9927 | Weakly Supervised Multimodal Affordance Grounding for Egocentric Images | | [![arXiv](https://img.shields.io/badge/arXiv-2208.13196-b31b1b.svg)](https://arxiv.org/abs/2208.13196) | | | 4822 | A Dual-Way Enhanced Framework from Text Matching Point of View for Multimodal Entity Linking | | [![arXiv](https://img.shields.io/badge/arXiv-2312.11816-b31b1b.svg)](https://arxiv.org/abs/2312.11816) | | | 9785 | Learn How to See: Collaborative Embodied Learning for Object Detection and Camera Adjusting | | [![arXiv](https://img.shields.io/badge/arXiv-2402.03721-b31b1b.svg)](https://arxiv.org/abs/2402.03721) | | | 6602 | SCD-Net: Spatiotemporal Clues Disentanglement Network for Self-Supervised Skeleton-based Action Recognition | | | | | 8781 | When to Show a Suggestion? Integrating Human Feedback in AI-Assisted Programming | | [![arXiv](https://img.shields.io/badge/arXiv-2104.03151-b31b1b.svg)](https://arxiv.org/abs/2104.03151) | | | 6934 | Adaptive Hardness Negative Sampling for Collaborative Filtering | | [![arXiv](https://img.shields.io/badge/arXiv-2204.11752-b31b1b.svg)](https://arxiv.org/abs/2204.11752) | | | 10089 | SeTformer is What You Need for Vision and Language | | [![arXiv](https://img.shields.io/badge/arXiv-1404.6838-b31b1b.svg)](https://arxiv.org/abs/1404.6838) | | | 11148 | Learning Small Decision Trees with Few Outliers: A Parameterized Perspective | | [![arXiv](https://img.shields.io/badge/arXiv-2203.01482-b31b1b.svg)](https://arxiv.org/abs/2203.01482) | | | 6054 | Refining Latent Homophilic Structures over Heterophilic Graphs for Robust Graph Convolution Networks | | [![arXiv](https://img.shields.io/badge/arXiv-2312.16418-b31b1b.svg)](https://arxiv.org/abs/2312.16418) | | | 2956 | CatmullRom Splines-based Regression for Image Forgery Localization | | [![arXiv](https://img.shields.io/badge/arXiv-2303.17111-b31b1b.svg)](https://arxiv.org/abs/2303.17111) | | | 1235 | BaCon: Boosting Imbalanced Semi-Supervised Learning via Balanced Feature-Level Contrastive Learning | | | | | 3197 | MuLTI: Efficient Video-and-Language Understanding with Text-Guided MultiWay-Sampler and Multiple Choice Modeling | | | | | 2696 | Generalizable Sleep Staging via Multi-Level Domain Alignment | | [![arXiv](https://img.shields.io/badge/arXiv-2401.05363-b31b1b.svg)](https://arxiv.org/abs/2401.05363) | | | 8246 | Improving Knowledge Extraction from LLMs for Task Learning through Agent Analysis | | [![arXiv](https://img.shields.io/badge/arXiv-2306.06770-b31b1b.svg)](https://arxiv.org/abs/2306.06770) | | | 8941 | GxVAEs: Two Joint VAEs Generate Hit Molecules from Gene Expression Profiles | | | | | 5484 | Delving into Multimodal Prompting for Fine-Grained Visual Classification | | | | | 8016 | Molecular Optimization Model with Patentability Constraint | | [![arXiv](https://img.shields.io/badge/arXiv-2208.06157-b31b1b.svg)](https://arxiv.org/abs/2208.06157) | | | 3660 | TAPE: Leveraging Agent Topology for Cooperative Multi-Agent Policy Gradient | | | | | 6833 | Component Fourier Neural Operator for Singularly Perturbed Differential Equations | | [![arXiv](https://img.shields.io/badge/arXiv-1807.07453-b31b1b.svg)](https://arxiv.org/abs/1807.07453) | | | 10508 | Federated Causality Learning with Explainable Adaptive Optimization | | [![arXiv](https://img.shields.io/badge/arXiv-2312.05540-b31b1b.svg)](https://arxiv.org/abs/2312.05540) | | | 10568 | Diverse Person: Customize Your Own Dataset for Text-based Person Search | | [![arXiv](https://img.shields.io/badge/arXiv-1710.08795-b31b1b.svg)](https://arxiv.org/abs/1710.08795) | | | 808 | Recognizing Ultra-High-Speed Moving Objects with Bio-Inspired Spike Camera | | [![arXiv](https://img.shields.io/badge/arXiv-1912.09669-b31b1b.svg)](https://arxiv.org/abs/1912.09669) | | | 2933 | T2MAC: Targeted and Trusted Multi-Agent Communication through Selective Engagement and Evidence-Driven Integration | | | | | 101 | Region-Disentangled Diffusion Model for High-Fidelity PPG-to-ECG Translation | | [![arXiv](https://img.shields.io/badge/arXiv-2111.01471-b31b1b.svg)](https://arxiv.org/abs/2111.01471) | | | 10834 | MFTN: Multi-Level Feature Transfer Network based on MRI-Transformer for MR Image Super-Resolution | | | | | 1491 | Pay Attention to Target: Relation-Aware Temporal Consistency for Domain Adaptive Video Semantic Segmentation | | [![arXiv](https://img.shields.io/badge/arXiv-2203.04559-b31b1b.svg)](https://arxiv.org/abs/2203.04559) | | | 6433 | LaneGraph2Seq: Lane Topology Extraction with Language Model via Vertex-Edge Encoding and Connectivity Enhancement | | | | | 12314 | Goal Alignment: Re-Analyzing Value Alignment Problems using Human-Aware AI | | [![arXiv](https://img.shields.io/badge/arXiv-2310.20059-b31b1b.svg)](https://arxiv.org/abs/2310.20059) | | ================================================ FILE: sections/2024/main/1401_1600.md ================================================ # AAAI-2024-Papers
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## 1401-1600 papers ![Section Papers](https://img.shields.io/badge/Section%20Papers-soon-42BA16) ![Preprint Papers](https://img.shields.io/badge/Preprint%20Papers-soon-b31b1b) ![Papers with Open Code](https://img.shields.io/badge/Papers%20with%20Open%20Code-soon-1D7FBF) ![Papers with Video](https://img.shields.io/badge/Papers%20with%20Video-soon-FF0000) | :id: | **Title** | **Repo** | **Paper** | **Video** | |------|-----------|:--------:|:---------:|:---------:| | 13715 | Well, Now We Know! Unveiling Sarcasm: Initiating and Exploring Multimodal | | [![arXiv](https://img.shields.io/badge/arXiv-2110.15610-b31b1b.svg)](https://arxiv.org/abs/2110.15610) | | | 1022 | Decoding AI’s Nudge: A Unified Framework to Predict Human Behavior in AI- | | [![arXiv](https://img.shields.io/badge/arXiv-2401.05840-b31b1b.svg)](https://arxiv.org/abs/2401.05840) | | | 6679 | StegFormer: Rebuilding the Glory of Autoencoder-Based Steganography | | | | | 10387 | Learning to Prompt Knowledge Transfer for Open-World Continual Learning | | [![arXiv](https://img.shields.io/badge/arXiv-2203.06654-b31b1b.svg)](https://arxiv.org/abs/2203.06654) | | | 1834 | Transferable Video Moment Localization by Moment-Guided Query Prompting | | [![arXiv](https://img.shields.io/badge/arXiv-2306.03422-b31b1b.svg)](https://arxiv.org/abs/2306.03422) | | | 1334 | Energy-Efficient Streaming Time Series Classification with Attentive Power | | [![arXiv](https://img.shields.io/badge/arXiv-1901.08608-b31b1b.svg)](https://arxiv.org/abs/1901.08608) | | | 747 | BEV-MAE: Bird’s Eye View Masked Autoencoders for Point Cloud Pre-training in | | | | | 13842 | PORTAL: Automatic Curricula Generation for Multiagent Reinforcement Learning | | | | | 3559 | Towards Continual Knowledge Graph Embedding via Incremental Distillation | | [![arXiv](https://img.shields.io/badge/arXiv-2201.11249-b31b1b.svg)](https://arxiv.org/abs/2201.11249) | | | 11123 | Compositional Generalization for Multi-Label Text Classification: A Data- | | [![arXiv](https://img.shields.io/badge/arXiv-2010.05873-b31b1b.svg)](https://arxiv.org/abs/2010.05873) | | | 10748 | M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy | | | | | 11634 | Principle Component Trees and Their Persistent Homology | | [![arXiv](https://img.shields.io/badge/arXiv-2303.16176-b31b1b.svg)](https://arxiv.org/abs/2303.16176) | | | 13743 | Knowledge-Aware Explainable Reciprocal Recommendation | | [![arXiv](https://img.shields.io/badge/arXiv-2008.04185-b31b1b.svg)](https://arxiv.org/abs/2008.04185) | | | 3648 | Threshold-Based Responsive Simulated Annealing for Directed Feedback Vertex | | [![arXiv](https://img.shields.io/badge/arXiv-1604.00873-b31b1b.svg)](https://arxiv.org/abs/1604.00873) | | | 11071 | MFABA: A More Faithful and Accelerated Boundary-Based Attribution Method for | | | | | 11976 | Data Poisoning to Fake a Nash Equilibria for Markov Games | | [![arXiv](https://img.shields.io/badge/arXiv-2306.08041-b31b1b.svg)](https://arxiv.org/abs/2306.08041) | | | 3810 | Exploring Diverse Representations for Open Set Recognition | | [![arXiv](https://img.shields.io/badge/arXiv-2401.06521-b31b1b.svg)](https://arxiv.org/abs/2401.06521) | | | 10380 | Hyperspectral Image Reconstruction via Combinatorial Embedding of Cross- | | [![arXiv](https://img.shields.io/badge/arXiv-2312.11119-b31b1b.svg)](https://arxiv.org/abs/2312.11119) | | | 11813 | Ghost Noise for Regularizing Deep Neural Networks | | [![arXiv](https://img.shields.io/badge/arXiv-1908.07005-b31b1b.svg)](https://arxiv.org/abs/1908.07005) | | | 13124 | Eliciting Kemeny Rankings | | [![arXiv](https://img.shields.io/badge/arXiv-2309.03517-b31b1b.svg)](https://arxiv.org/abs/2309.03517) | | | 1530 | Text-Guided Molecule Generation with Diffusion Language Model | | [![arXiv](https://img.shields.io/badge/arXiv-2308.12219-b31b1b.svg)](https://arxiv.org/abs/2308.12219) | | | 10460 | TETRIS: Towards Exploring the Robustness of Interactive Segmentation | | | | | 3747 | DVSAI: Diverse View-Shared Anchors Based Incomplete Multi-View Clustering | | | | | 10800 | SoundCount: Sound Counting from Raw Audio with Dyadic Decomposition | | | | | 1994 | TagCLIP: A Local-to-Global Framework to Enhance Open-Vocabulary Multi- | | | | | 883 | Semantic-Aware Autoregressive Image Modeling for Visual Representation | | [![arXiv](https://img.shields.io/badge/arXiv-2212.01610-b31b1b.svg)](https://arxiv.org/abs/2212.01610) | | | 1726 | Strong Baselines for Parameter-Efficient Few-Shot Fine-Tuning | | [![arXiv](https://img.shields.io/badge/arXiv-2209.06995-b31b1b.svg)](https://arxiv.org/abs/2209.06995) | | | 8072 | Testing Self-Reducible Samplers | | [![arXiv](https://img.shields.io/badge/arXiv-1006.2902-b31b1b.svg)](https://arxiv.org/abs/1006.2902) | | | 13372 | MCSSME: Multi-Task Contrastive Learning for Semi-supervised Singing Melody | | | | | 5248 | End-to-End Real-Time Vanishing Point Detection with Transformer | | [![arXiv](https://img.shields.io/badge/arXiv-2203.08586-b31b1b.svg)](https://arxiv.org/abs/2203.08586) | | | 1153 | Direction-Aware Video Demoiréing with Temporal-Guided Bilateral Learning | | [![arXiv](https://img.shields.io/badge/arXiv-2007.12622-b31b1b.svg)](https://arxiv.org/abs/2007.12622) | | | 9489 | Towards Optimal Subsidy Bounds for Envy-Freeable Allocations | | [![arXiv](https://img.shields.io/badge/arXiv-2308.11230-b31b1b.svg)](https://arxiv.org/abs/2308.11230) | | | 11671 | Learning Hybrid Dynamics Models with Simulator-Informed Latent States | | [![arXiv](https://img.shields.io/badge/arXiv-2309.02873-b31b1b.svg)](https://arxiv.org/abs/2309.02873) | | | 1098 | Factorized Diffusion Autoencoder for Unsupervised Disentangled Representation | | [![arXiv](https://img.shields.io/badge/arXiv-2309.08273-b31b1b.svg)](https://arxiv.org/abs/2309.08273) | | | 6925 | Percentile Risk-Constrained Budget Pacing for Guaranteed Display Advertising | | [![arXiv](https://img.shields.io/badge/arXiv-2312.06174-b31b1b.svg)](https://arxiv.org/abs/2312.06174) | | | 4184 | MERGE: Fast Private Text Generation | | | | | 4466 | Working Memory Capacity of ChatGPT: An Empirical Study | | [![arXiv](https://img.shields.io/badge/arXiv-1605.02233-b31b1b.svg)](https://arxiv.org/abs/1605.02233) | | | 11944 | Adaptive Anytime Multi-Agent Path Finding Using Bandit-Based Large | | [![arXiv](https://img.shields.io/badge/arXiv-2312.16767-b31b1b.svg)](https://arxiv.org/abs/2312.16767) | | | 212 | AnomalyDiffusion: Few-Shot Anomaly Image Generation with Diffusion Model | | | | | 4637 | Sterling: Synergistic Representation Learning on Bipartite Graphs | | | | | 9734 | From Coarse to Fine: A Distillation Method for Fine-Grained Emotion-Causal | | [![arXiv](https://img.shields.io/badge/arXiv-2208.13560-b31b1b.svg)](https://arxiv.org/abs/2208.13560) | | | 2506 | Decouple Content and Motion for Conditional Image-to-Video Generation | | [![arXiv](https://img.shields.io/badge/arXiv-2102.13329-b31b1b.svg)](https://arxiv.org/abs/2102.13329) | | | 2032 | Roll with the Punches: Expansion and Shrinkage of Soft Label Selection for Semi | | [![arXiv](https://img.shields.io/badge/arXiv-2312.12237-b31b1b.svg)](https://arxiv.org/abs/2312.12237) | | | 4437 | Compact HD Map Construction via Douglas-Peucker Point Transformer | | [![arXiv](https://img.shields.io/badge/arXiv-1003.2716-b31b1b.svg)](https://arxiv.org/abs/1003.2716) | | | 12173 | An Eager Satisfiability Modulo Theories Solver for Algebraic Datatypes | | [![arXiv](https://img.shields.io/badge/arXiv-2310.12234-b31b1b.svg)](https://arxiv.org/abs/2310.12234) | | | 9364 | Bridging the Gap between 2D and 3D Visual Question Answering: A Fusion | | [![arXiv](https://img.shields.io/badge/arXiv-2209.07026-b31b1b.svg)](https://arxiv.org/abs/2209.07026) | | | 9312 | Competition among Pairwise Lottery Contests | | [![arXiv](https://img.shields.io/badge/arXiv-2312.11953-b31b1b.svg)](https://arxiv.org/abs/2312.11953) | | | 11170 | S2CycleDiff: Spatial-Spectral-Bilateral Cycle-Diffusion Framework for | | | | | 12957 | MathAttack: Attacking Large Language Models towards Math Solving Ability | | | | | 8078 | Relax Image-Specific Prompt Requirement in SAM: A Single Generic Prompt for | | [![arXiv](https://img.shields.io/badge/arXiv-2008.01441-b31b1b.svg)](https://arxiv.org/abs/2008.01441) | | | 4724 | Full Bayesian Significance Testing for Neural Networks | | [![arXiv](https://img.shields.io/badge/arXiv-2401.13335-b31b1b.svg)](https://arxiv.org/abs/2401.13335) | | | 11534 | Spatial-Temporal Interplay in Human Mobility: A Hierarchical Reinforcement | | [![arXiv](https://img.shields.io/badge/arXiv-2312.15717-b31b1b.svg)](https://arxiv.org/abs/2312.15717) | | | 9997 | ConditionVideo: Training-Free Condition-Guided Video Generation | | | | | 1629 | Federated Learning with Extremely Noisy Clients via Negative Distillation | | [![arXiv](https://img.shields.io/badge/arXiv-2312.12703-b31b1b.svg)](https://arxiv.org/abs/2312.12703) | | | 13120 | On Disentanglement of Asymmetrical Knowledge Transfer for Modality-Task | | [![arXiv](https://img.shields.io/badge/arXiv-2006.16331-b31b1b.svg)](https://arxiv.org/abs/2006.16331) | | | 4403 | Unify Named Entity Recognition Scenarios via Contrastive Real-Time Updating | | [![arXiv](https://img.shields.io/badge/arXiv-2311.08526-b31b1b.svg)](https://arxiv.org/abs/2311.08526) | | | 4712 | Union Subgraph Neural Networks | | [![arXiv](https://img.shields.io/badge/arXiv-2006.10538-b31b1b.svg)](https://arxiv.org/abs/2006.10538) | | | 13456 | Reliable Data Generation and Selection for Low-Resource Relation Extraction | | [![arXiv](https://img.shields.io/badge/arXiv-1809.01431-b31b1b.svg)](https://arxiv.org/abs/1809.01431) | | | 2716 | UNEX-RL: Reinforcing Long-Term Rewards in Multi-Stage Recommender | | | | | 13459 | Novel Class Discovery in Chest X-rays via Paired Images and Text | | [![arXiv](https://img.shields.io/badge/arXiv-1903.02040-b31b1b.svg)](https://arxiv.org/abs/1903.02040) | | | 13264 | Harnessing the Power of SVD: An SVA Module for Enhanced Signal | | [![arXiv](https://img.shields.io/badge/arXiv-1602.07642-b31b1b.svg)](https://arxiv.org/abs/1602.07642) | | | 8907 | Multi-Modal Latent Space Learning for Chain-of-Thought Reasoning in Language | | [![arXiv](https://img.shields.io/badge/arXiv-2312.08762-b31b1b.svg)](https://arxiv.org/abs/2312.08762) | | | 2747 | Learning Dense Correspondence for NeRF-Based Face Reenactment | | [![arXiv](https://img.shields.io/badge/arXiv-2312.10422-b31b1b.svg)](https://arxiv.org/abs/2312.10422) | | | 8670 | Mixed Geometry Message and Trainable Convolutional Attention Network for | | [![arXiv](https://img.shields.io/badge/arXiv-2310.19589-b31b1b.svg)](https://arxiv.org/abs/2310.19589) | | | 10528 | Multi-Domain Recommendation to Attract Users via Domain Preference | | [![arXiv](https://img.shields.io/badge/arXiv-2201.05973-b31b1b.svg)](https://arxiv.org/abs/2201.05973) | | | 977 | Scaling Up Semi-supervised Learning with Unconstrained Unlabelled Data | | [![arXiv](https://img.shields.io/badge/arXiv-2306.01222-b31b1b.svg)](https://arxiv.org/abs/2306.01222) | | | 9245 | LLMRG: Improving Recommendations through Large Language Model | | | | | 1194 | Selective Focus: Investigating Semantics Sensitivity in Post-training | | [![arXiv](https://img.shields.io/badge/arXiv-2208.04094-b31b1b.svg)](https://arxiv.org/abs/2208.04094) | | | 12918 | INFORMEDQX: Informed Conflict Detection for Over-Constrained Problems | | | | | 11529 | TR-DETR: Task-Reciprocal Transformer for Joint Moment Retrieval and | | | | | 7952 | MAPTree: Beating “Optimal” Decision Trees with Bayesian Decision Trees | | | | | 12448 | Efficient Target Propagation by Deriving Analytical Solution | | [![arXiv](https://img.shields.io/badge/arXiv-2210.04008-b31b1b.svg)](https://arxiv.org/abs/2210.04008) | | | 5085 | Scalable Motion Style Transfer with Constrained Diffusion Generation | | [![arXiv](https://img.shields.io/badge/arXiv-2312.07311-b31b1b.svg)](https://arxiv.org/abs/2312.07311) | | | 2781 | Debiasing Multimodal Sarcasm Detection with Contrastive Learning | | [![arXiv](https://img.shields.io/badge/arXiv-2312.10493-b31b1b.svg)](https://arxiv.org/abs/2312.10493) | | | 12086 | Seed-Guided Fine-Grained Entity Typing in Science and Engineering Domains | | [![arXiv](https://img.shields.io/badge/arXiv-2401.13129-b31b1b.svg)](https://arxiv.org/abs/2401.13129) | | | 13114 | HGPrompt: Bridging Homogeneous and Heterogeneous Graphs for Few-Shot | | | | | 1988 | Collaborative Consortium of Foundation Models for Open-World Few-Shot | | [![arXiv](https://img.shields.io/badge/arXiv-2306.02342-b31b1b.svg)](https://arxiv.org/abs/2306.02342) | | | 5356 | Divergence-Guided Simultaneous Speech Translation | | [![arXiv](https://img.shields.io/badge/arXiv-2305.16093-b31b1b.svg)](https://arxiv.org/abs/2305.16093) | | | 13376 | ConVQG: Contrastive Visual Question Generation with Multimodal Guidance | | | | | 2088 | Confusing Pair Correction Based on Category Prototype for Domain Adaptation | | [![arXiv](https://img.shields.io/badge/arXiv-2207.03684-b31b1b.svg)](https://arxiv.org/abs/2207.03684) | | | 9950 | A Novel Energy Based Model Mechanism for Multi-Modal Aspect-Based | | [![arXiv](https://img.shields.io/badge/arXiv-2311.01886-b31b1b.svg)](https://arxiv.org/abs/2311.01886) | | | 11111 | BLIVA: A Simple Multimodal LLM for Better Handling of Text-Rich Visual | | | | | 2670 | Towards Inductive Robustness: Distilling and Fostering Wave-Induced | | [![arXiv](https://img.shields.io/badge/arXiv-1712.10070-b31b1b.svg)](https://arxiv.org/abs/1712.10070) | | | 11212 | Conditional Variational Autoencoder for Sign Language Translation with Cross- | | [![arXiv](https://img.shields.io/badge/arXiv-2107.10685-b31b1b.svg)](https://arxiv.org/abs/2107.10685) | | | 12420 | Evaluate Geometry of Radiance Fields with Low-Frequency Color Prior | | [![arXiv](https://img.shields.io/badge/arXiv-2302.12231-b31b1b.svg)](https://arxiv.org/abs/2302.12231) | | | 13344 | Learning Time Slot Preferences via Mobility Tree for Next POI Recommendation | | [![arXiv](https://img.shields.io/badge/arXiv-1805.06316-b31b1b.svg)](https://arxiv.org/abs/1805.06316) | | | 3704 | Amodal Scene Analysis via Holistic Occlusion Relation Inference and Generative | | [![arXiv](https://img.shields.io/badge/arXiv-2212.04712-b31b1b.svg)](https://arxiv.org/abs/2212.04712) | | | 1662 | MetaDiff: Meta-Learning with Conditional Diffusion for Few-Shot Learning | | | | | 10203 | Using Artificial Populations to Study Psychological Phenomena in Neural Models | | [![arXiv](https://img.shields.io/badge/arXiv-2308.08032-b31b1b.svg)](https://arxiv.org/abs/2308.08032) | | | 10706 | Optimizing ADMM and Over-Relaxed ADMM Parameters for Linear Quadratic | | [![arXiv](https://img.shields.io/badge/arXiv-2211.12443-b31b1b.svg)](https://arxiv.org/abs/2211.12443) | | | 3914 | Resource Democratization: Is Compute the Binding Constraint on AI Research? | | [![arXiv](https://img.shields.io/badge/arXiv-1511.01242-b31b1b.svg)](https://arxiv.org/abs/1511.01242) | | | 10365 | Amalgamating Multi-Task Models with Heterogeneous Architectures | | [![arXiv](https://img.shields.io/badge/arXiv-2310.05108-b31b1b.svg)](https://arxiv.org/abs/2310.05108) | | | 10118 | Imitation of Life: A Search Engine for Biologically Inspired Design | | [![arXiv](https://img.shields.io/badge/arXiv-2312.12681-b31b1b.svg)](https://arxiv.org/abs/2312.12681) | | | 7978 | Generating Universal Adversarial Perturbations for Quantum Classifiers | | [![arXiv](https://img.shields.io/badge/arXiv-2306.11974-b31b1b.svg)](https://arxiv.org/abs/2306.11974) | | | 12235 | Double-Bounded Optimal Transport for Advanced Clustering and Classification | | [![arXiv](https://img.shields.io/badge/arXiv-2401.11418-b31b1b.svg)](https://arxiv.org/abs/2401.11418) | | | 8366 | Memory Asymmetry Creates Heteroclinic Orbits to Nash Equilibrium in Learning | | [![arXiv](https://img.shields.io/badge/arXiv-2305.13619-b31b1b.svg)](https://arxiv.org/abs/2305.13619) | | | 5941 | Efficient Look-Up Table from Expanded Convolutional Network for Accelerating | | [![arXiv](https://img.shields.io/badge/arXiv-2306.02886-b31b1b.svg)](https://arxiv.org/abs/2306.02886) | | | 5557 | Quantum Interference Model for Semantic Biases of Glosses in Word Sense | | [![arXiv](https://img.shields.io/badge/arXiv-1805.08028-b31b1b.svg)](https://arxiv.org/abs/1805.08028) | | | 12542 | Instance-Conditional Timescales of Decay for Non-Stationary Learning | | [![arXiv](https://img.shields.io/badge/arXiv-1707.09183-b31b1b.svg)](https://arxiv.org/abs/1707.09183) | | | 3212 | Low-Distortion Clustering with Ordinal and Limited Cardinal Information | | [![arXiv](https://img.shields.io/badge/arXiv-1812.03837-b31b1b.svg)](https://arxiv.org/abs/1812.03837) | | | 1951 | KPA-Tracker: Towards Robust and Real-Time Category-Level Articulated Object | | | | | 111 | Integer Is Enough: When Vertical Federated Learning Meets Rounding | | [![arXiv](https://img.shields.io/badge/arXiv-1903.02891-b31b1b.svg)](https://arxiv.org/abs/1903.02891) | | | 8624 | Towards the Disappearing Truth: Fine-Grained Joint Causal Influences Learning | | [![arXiv](https://img.shields.io/badge/arXiv-1905.09442-b31b1b.svg)](https://arxiv.org/abs/1905.09442) | | | 9517 | PICNN: A Pathway towards Interpretable Convolutional Neural Networks | | | | | 4415 | Object Attribute Matters in Visual Question Answering | | [![arXiv](https://img.shields.io/badge/arXiv-2401.09442-b31b1b.svg)](https://arxiv.org/abs/2401.09442) | | | 7326 | Task-Disruptive Background Suppression for Few-Shot Segmentation | | [![arXiv](https://img.shields.io/badge/arXiv-2312.15894-b31b1b.svg)](https://arxiv.org/abs/2312.15894) | | | 9981 | Your Career Path Matters in Person-Job Fit | | [![arXiv](https://img.shields.io/badge/arXiv-2310.15636-b31b1b.svg)](https://arxiv.org/abs/2310.15636) | | | 6464 | Graph Neural Networks with Soft Association between Topology and Attribute | | [![arXiv](https://img.shields.io/badge/arXiv-1804.03082-b31b1b.svg)](https://arxiv.org/abs/1804.03082) | | | 13612 | Omni-Kernel Network for Image Restoration | | [![arXiv](https://img.shields.io/badge/arXiv-2104.12347-b31b1b.svg)](https://arxiv.org/abs/2104.12347) | | | 12026 | Unravelling Expressive Delegations: Complexity and Normative Analysis | | [![arXiv](https://img.shields.io/badge/arXiv-1207.4504-b31b1b.svg)](https://arxiv.org/abs/1207.4504) | | | 5459 | AdapterGNN: Parameter-Efficient Fine-Tuning Improves Generalization in GNNs | | | | | 11120 | ContraNovo: A Contrastive Learning Approach to Enhance De Novo Peptide | | | | | 2454 | Deletion-Robust Submodular Maximization with Knapsack Constraints | | [![arXiv](https://img.shields.io/badge/arXiv-1311.2106-b31b1b.svg)](https://arxiv.org/abs/1311.2106) | | | 4911 | Big Learning Expectation Maximization | | [![arXiv](https://img.shields.io/badge/arXiv-1305.0626-b31b1b.svg)](https://arxiv.org/abs/1305.0626) | | | 7520 | Non-exemplar Online Class-Incremental Continual Learning via Dual-Prototype | | [![arXiv](https://img.shields.io/badge/arXiv-2111.02757-b31b1b.svg)](https://arxiv.org/abs/2111.02757) | | | 13754 | United We Stand: Accelerating Privacy-Preserving Neural Inference by | | [![arXiv](https://img.shields.io/badge/arXiv-1207.7199-b31b1b.svg)](https://arxiv.org/abs/1207.7199) | | | 10319 | Risk-Conditioned Reinforcement Learning: A Generalized Approach for Adapting | | [![arXiv](https://img.shields.io/badge/arXiv-2202.08444-b31b1b.svg)](https://arxiv.org/abs/2202.08444) | | | 12392 | DINGO: Towards Diverse and Fine-Grained Instruction-Following Evaluation | | | | | 13188 | MID-FiLD: MIDI Dataset for Fine-Level Dynamics | | | | | 6302 | A Positive-Unlabeled Metric Learning Framework for Document-Level Relation | | [![arXiv](https://img.shields.io/badge/arXiv-2008.07739-b31b1b.svg)](https://arxiv.org/abs/2008.07739) | | | 2734 | SkeletonGait: Gait Recognition Using Skeleton Maps | | | | | 3631 | Learning to Rank in Generative Retrieval | | [![arXiv](https://img.shields.io/badge/arXiv-2306.15222-b31b1b.svg)](https://arxiv.org/abs/2306.15222) | | | 8509 | Mitigating Label Bias in Machine Learning: Fairness through Confident Learning | | [![arXiv](https://img.shields.io/badge/arXiv-2312.08749-b31b1b.svg)](https://arxiv.org/abs/2312.08749) | | | 3178 | Video Frame Prediction from a Single Image and Events | | [![arXiv](https://img.shields.io/badge/arXiv-2312.00113-b31b1b.svg)](https://arxiv.org/abs/2312.00113) | | | 6345 | Learning to Learn Better Visual Prompts | | [![arXiv](https://img.shields.io/badge/arXiv-2310.08420-b31b1b.svg)](https://arxiv.org/abs/2310.08420) | | | 11129 | Maximizing the Success Probability of Policy Allocations in Online Systems | | [![arXiv](https://img.shields.io/badge/arXiv-2312.16267-b31b1b.svg)](https://arxiv.org/abs/2312.16267) | | | 9065 | Investigating the Effectiveness of Task-Agnostic Prefix Prompt for Instruction | | [![arXiv](https://img.shields.io/badge/arXiv-2302.14691-b31b1b.svg)](https://arxiv.org/abs/2302.14691) | | | 13341 | Revisiting Document-Level Relation Extraction with Context-Guided Link | | [![arXiv](https://img.shields.io/badge/arXiv-2001.01015-b31b1b.svg)](https://arxiv.org/abs/2001.01015) | | | 10784 | Learning Discrete-Time Major-Minor Mean Field Games | | [![arXiv](https://img.shields.io/badge/arXiv-1612.01877-b31b1b.svg)](https://arxiv.org/abs/1612.01877) | | | 5480 | Omnipotent Distillation with LLMs for Weakly-Supervised Natural Language | | [![arXiv](https://img.shields.io/badge/arXiv-2309.13182-b31b1b.svg)](https://arxiv.org/abs/2309.13182) | | | 8044 | Operationalizing Essential Characteristics of Creativity in a Computational | | [![arXiv](https://img.shields.io/badge/arXiv-2204.07666-b31b1b.svg)](https://arxiv.org/abs/2204.07666) | | | 298 | Fine-Grained Multi-View Hand Reconstruction Using Inverse Rendering | | [![arXiv](https://img.shields.io/badge/arXiv-2308.10003-b31b1b.svg)](https://arxiv.org/abs/2308.10003) | | | 1476 | Unsupervised Pan-Sharpening via Mutually Guided Detail Restoration | | [![arXiv](https://img.shields.io/badge/arXiv-2312.08853-b31b1b.svg)](https://arxiv.org/abs/2312.08853) | | | 1641 | Rethinking Causal Relationships Learning in Graph Neural Networks | | [![arXiv](https://img.shields.io/badge/arXiv-2301.12762-b31b1b.svg)](https://arxiv.org/abs/2301.12762) | | | 12357 | Curriculum-Enhanced Residual Soft An-Isotropic Normalization for Over- | | [![arXiv](https://img.shields.io/badge/arXiv-0907.5021-b31b1b.svg)](https://arxiv.org/abs/0907.5021) | | | 12036 | Friendly Attacks to Improve Channel Coding Reliability | | [![arXiv](https://img.shields.io/badge/arXiv-2401.14184-b31b1b.svg)](https://arxiv.org/abs/2401.14184) | | | 8890 | MultiSum: A Multi-Facet Approach for Extractive Social Summarization Utilizing | | | | | 13274 | Decentralized Monte Carlo Tree Search for Partially Observable Multi-Agent | | [![arXiv](https://img.shields.io/badge/arXiv-1102.1580-b31b1b.svg)](https://arxiv.org/abs/1102.1580) | | | 13342 | Generalizable Task Representation Learning for Offline Meta-Reinforcement | | [![arXiv](https://img.shields.io/badge/arXiv-2306.13412-b31b1b.svg)](https://arxiv.org/abs/2306.13412) | | | 11127 | Towards Learning and Explaining Indirect Causal Effects in Neural Networks Abbavaram | | [![arXiv](https://img.shields.io/badge/arXiv-2303.13850-b31b1b.svg)](https://arxiv.org/abs/2303.13850) | | | 1982 | Relevant Intrinsic Feature Enhancement Network for Few-Shot Semantic | | [![arXiv](https://img.shields.io/badge/arXiv-2312.06474-b31b1b.svg)](https://arxiv.org/abs/2312.06474) | | | 11515 | Generating Novel Leads for Drug Discovery Using LLMs with Logical Feedback | | [![arXiv](https://img.shields.io/badge/arXiv-2311.16208-b31b1b.svg)](https://arxiv.org/abs/2311.16208) | | | 12777 | Exact Policy Recovery in Offline RL with Both Heavy-Tailed Rewards and Data | | [![arXiv](https://img.shields.io/badge/arXiv-2306.13412-b31b1b.svg)](https://arxiv.org/abs/2306.13412) | | | 3024 | Self-Distillation Regularized Connectionist Temporal Classification Loss for Text | | [![arXiv](https://img.shields.io/badge/arXiv-2308.08806-b31b1b.svg)](https://arxiv.org/abs/2308.08806) | | | 5178 | Limited-Supervised Multi-Label Learning with Dependency Noise | | [![arXiv](https://img.shields.io/badge/arXiv-1908.08453-b31b1b.svg)](https://arxiv.org/abs/1908.08453) | | | 12697 | Altruism in Facility Location Problems | | [![arXiv](https://img.shields.io/badge/arXiv-2009.07982-b31b1b.svg)](https://arxiv.org/abs/2009.07982) | | | 9068 | Task-Adaptive Prompted Transformer for Cross-Domain Few-Shot Learning | | [![arXiv](https://img.shields.io/badge/arXiv-2010.07886-b31b1b.svg)](https://arxiv.org/abs/2010.07886) | | | 12929 | Is a Large Language Model a Good Annotator for Event Extraction? | | [![arXiv](https://img.shields.io/badge/arXiv-2311.05601-b31b1b.svg)](https://arxiv.org/abs/2311.05601) | | | 11345 | Fed-QSSL: A Framework for Personalized Federated Learning under Bitwidth | | | | | 8597 | Dual-View Whitening on Pre-trained Text Embeddings for Sequential | | [![arXiv](https://img.shields.io/badge/arXiv-2308.13536-b31b1b.svg)](https://arxiv.org/abs/2308.13536) | | | 422 | Feature Fusion from Head to Tail for Long-Tailed Visual Recognition | | [![arXiv](https://img.shields.io/badge/arXiv-2306.06963-b31b1b.svg)](https://arxiv.org/abs/2306.06963) | | | 1625 | Adaptive Shortcut Debiasing for Online Continual Learning | | [![arXiv](https://img.shields.io/badge/arXiv-2312.08677-b31b1b.svg)](https://arxiv.org/abs/2312.08677) | | | 2929 | Clarifying the Behavior and the Difficulty of Adversarial Training | | [![arXiv](https://img.shields.io/badge/arXiv-2112.07324-b31b1b.svg)](https://arxiv.org/abs/2112.07324) | | | 9882 | Complexity of Credulous and Skeptical Acceptance in Epistemic Argumentation | | [![arXiv](https://img.shields.io/badge/arXiv-1404.6883-b31b1b.svg)](https://arxiv.org/abs/1404.6883) | | | 9784 | Improve Robustness of Reinforcement Learning against Observation | | [![arXiv](https://img.shields.io/badge/arXiv-2312.08751-b31b1b.svg)](https://arxiv.org/abs/2312.08751) | | | 2726 | PathAsst: A Generative Foundation AI Assistant towards Artificial General | | | | | 2240 | DeepBranchTracer: A Generally-Applicable Approach to Curvilinear Structure | | | | | 9859 | Brush Your Text: Synthesize Any Scene Text on Images via Diffusion Model | | [![arXiv](https://img.shields.io/badge/arXiv-2312.12232-b31b1b.svg)](https://arxiv.org/abs/2312.12232) | | | 5254 | Rolling-Unet: Revitalizing MLP’s Ability to Efficiently Extract Long-Distance | | | | | 8038 | Delegation-Relegation for Boolean Matrix Factorization | | [![arXiv](https://img.shields.io/badge/arXiv-2106.10105-b31b1b.svg)](https://arxiv.org/abs/2106.10105) | | | 6243 | Decoupled Training: Return of Frustratingly Easy Multi-Domain Learning | | [![arXiv](https://img.shields.io/badge/arXiv-2106.03762-b31b1b.svg)](https://arxiv.org/abs/2106.03762) | | | 4219 | Deep Contrastive Graph Learning with Clustering-Oriented Guidance | | [![arXiv](https://img.shields.io/badge/arXiv-2201.06367-b31b1b.svg)](https://arxiv.org/abs/2201.06367) | | | 8208 | Robust Evaluation Measures for Evaluating Social Biases in Masked Language | | [![arXiv](https://img.shields.io/badge/arXiv-2210.02938-b31b1b.svg)](https://arxiv.org/abs/2210.02938) | | | 9101 | Weakly Supervised Few-Shot Object Detection with DETR | | [![arXiv](https://img.shields.io/badge/arXiv-2401.03989-b31b1b.svg)](https://arxiv.org/abs/2401.03989) | | | 8525 | TopoGCL: Topological Graph Contrastive Learning | | | | | 11198 | Inference and Learning in Dynamic Decision Networks Using Knowledge | | [![arXiv](https://img.shields.io/badge/arXiv-1905.12470-b31b1b.svg)](https://arxiv.org/abs/1905.12470) | | | 10871 | Learning Small Decision Trees for Data of Low Rank-Width Konrad | | [![arXiv](https://img.shields.io/badge/arXiv-1601.03800-b31b1b.svg)](https://arxiv.org/abs/1601.03800) | | | 2133 | Causality-Inspired Invariant Representation Learning for Text-Based Person | | [![arXiv](https://img.shields.io/badge/arXiv-2008.06181-b31b1b.svg)](https://arxiv.org/abs/2008.06181) | | | 3003 | RedCore: Relative Advantage Aware Cross-Modal Representation Learning for | | | | | 12167 | Learning Optimal Advantage from Preferences and Mistaking It for Reward W. | | [![arXiv](https://img.shields.io/badge/arXiv-2310.02456-b31b1b.svg)](https://arxiv.org/abs/2310.02456) | | | 7954 | Discovering Sequential Patterns with Predictable Inter-event Delays | | [![arXiv](https://img.shields.io/badge/arXiv-2011.11826-b31b1b.svg)](https://arxiv.org/abs/2011.11826) | | | 6035 | Attention Guided CAM: Visual Explanations of Vision Transformer Guided by | | [![arXiv](https://img.shields.io/badge/arXiv-2402.04563-b31b1b.svg)](https://arxiv.org/abs/2402.04563) | | | 8909 | Weisfeiler and Lehman Go Paths: Learning Topological Features via Path | | [![arXiv](https://img.shields.io/badge/arXiv-2308.06838-b31b1b.svg)](https://arxiv.org/abs/2308.06838) | | | 3736 | ViTEraser: Harnessing the Power of Vision Transformers for Scene Text | | | | | 5735 | DTMFormer: Dynamic Token Merging for Boosting Transformer-Based Medical | | | | | 6970 | FaceRSA: RSA-Aware Facial Identity Cryptography Framework | | | | | 2147 | Language-Guided Transformer for Federated Multi-Label Classification | | [![arXiv](https://img.shields.io/badge/arXiv-2308.00271-b31b1b.svg)](https://arxiv.org/abs/2308.00271) | | | 367 | iDet3D: Towards Efficient Interactive Object Detection for LiDAR Point Clouds | | | | | 136 | Boosting Neural Cognitive Diagnosis with Student’s Affective State Modeling | | [![arXiv](https://img.shields.io/badge/arXiv-2107.13200-b31b1b.svg)](https://arxiv.org/abs/2107.13200) | | | 10560 | Stitching Sub-trajectories with Conditional Diffusion Model for Goal-Conditioned | | [![arXiv](https://img.shields.io/badge/arXiv-2212.10777-b31b1b.svg)](https://arxiv.org/abs/2212.10777) | | | 4725 | NegVSR: Augmenting Negatives for Generalized Noise Modeling in Real-world | | | | | 2772 | Submodel Enumeration for CTL Is Hard | | [![arXiv](https://img.shields.io/badge/arXiv-2312.09868-b31b1b.svg)](https://arxiv.org/abs/2312.09868) | | | 224 | TMPNN: High-Order Polynomial Regression Based on Taylor Map Factorization | | | | | 2971 | Opponent-Model Search in Games with Incomplete Information | | [![arXiv](https://img.shields.io/badge/arXiv-2010.08578-b31b1b.svg)](https://arxiv.org/abs/2010.08578) | | | 3242 | Memory-Efficient Reversible Spiking Neural Networks | | [![arXiv](https://img.shields.io/badge/arXiv-2312.07922-b31b1b.svg)](https://arxiv.org/abs/2312.07922) | | | 5540 | A Variational Autoencoder for Neural Temporal Point Processes with Dynamic | | [![arXiv](https://img.shields.io/badge/arXiv-2001.11716-b31b1b.svg)](https://arxiv.org/abs/2001.11716) | | | 5916 | Teacher as a Lenient Expert: Teacher-Agnostic Data-Free Knowledge Distillation | | [![arXiv](https://img.shields.io/badge/arXiv-2307.12220-b31b1b.svg)](https://arxiv.org/abs/2307.12220) | | | 3396 | Dense Projection for Anomaly Detection | | [![arXiv](https://img.shields.io/badge/arXiv-2208.01521-b31b1b.svg)](https://arxiv.org/abs/2208.01521) | | | 9913 | Tensorized Label Learning on Anchor Graph | | [![arXiv](https://img.shields.io/badge/arXiv-2201.06367-b31b1b.svg)](https://arxiv.org/abs/2201.06367) | | | 2826 | Adaptive Reactive Synthesis for LTL and LTLf Modulo Theories | | [![arXiv](https://img.shields.io/badge/arXiv-1912.07804-b31b1b.svg)](https://arxiv.org/abs/1912.07804) | | | 5492 | LaViP: Language-Grounded Visual Prompting | | | | | 12540 | 1/2-Approximate MMS Allocation for Separable Piecewise Linear Concave | | [![arXiv](https://img.shields.io/badge/arXiv-2312.08504-b31b1b.svg)](https://arxiv.org/abs/2312.08504) | | | 6799 | Self-Interpretable Graph Learning with Sufficient and Necessary Explanations | | [![arXiv](https://img.shields.io/badge/arXiv-2212.07056-b31b1b.svg)](https://arxiv.org/abs/2212.07056) | | | 10214 | Adaptive Graph Learning for Multimodal Conversational Emotion Detection | | [![arXiv](https://img.shields.io/badge/arXiv-2208.00339-b31b1b.svg)](https://arxiv.org/abs/2208.00339) | | | 5298 | NondBREM: Nondeterministic Offline Reinforcement Learning for Large-Scale | | | | | 1540 | Learn the Force We Can: Enabling Sparse Motion Control in Multi-Object Video | | [![arXiv](https://img.shields.io/badge/arXiv-2306.03988-b31b1b.svg)](https://arxiv.org/abs/2306.03988) | | | 4329 | ConcaveQ: Non-monotonic Value Function Factorization via Concave | | | | | 6411 | p-Laplacian Adaptation for Generative Pre-trained Vision-Language Models | | [![arXiv](https://img.shields.io/badge/arXiv-1503.02007-b31b1b.svg)](https://arxiv.org/abs/1503.02007) | | | 8389 | Leveraging Local Variance for Pseudo-Label Selection in Semi-supervised | | [![arXiv](https://img.shields.io/badge/arXiv-2110.04820-b31b1b.svg)](https://arxiv.org/abs/2110.04820) | | | 8782 | TOP-ReID: Multi-Spectral Object Re-identification with Token Permutation | | | | ================================================ FILE: sections/2024/main/1601_1800.md ================================================ # AAAI-2024-Papers
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## 1601-1800 papers ![Section Papers](https://img.shields.io/badge/Section%20Papers-soon-42BA16) ![Preprint Papers](https://img.shields.io/badge/Preprint%20Papers-soon-b31b1b) ![Papers with Open Code](https://img.shields.io/badge/Papers%20with%20Open%20Code-soon-1D7FBF) ![Papers with Video](https://img.shields.io/badge/Papers%20with%20Video-soon-FF0000) | :id: | **Title** | **Repo** | **Paper** | **Video** | |------|-----------|:--------:|:---------:|:---------:| | 1424 | SDGMNet: Statistic-Based Dynamic Gradient Modulation for Local Descriptor | | | | | 1067 | Gradual Residuals Alignment: A Dual-Stream Framework for GAN Inversion and | | [![arXiv](https://img.shields.io/badge/arXiv-1911.09178-b31b1b.svg)](https://arxiv.org/abs/1911.09178) | | | 5600 | Optimistic Value Instructors for Cooperative Multi-Agent Reinforcement Learning | | [![arXiv](https://img.shields.io/badge/arXiv-2305.01023-b31b1b.svg)](https://arxiv.org/abs/2305.01023) | | | 10063 | Hierarchize Pareto Dominance in Multi-Objective Stochastic Linear Bandits | | [![arXiv](https://img.shields.io/badge/arXiv-2307.03288-b31b1b.svg)](https://arxiv.org/abs/2307.03288) | | | 3563 | Data-Free Hard-Label Robustness Stealing Attack | | [![arXiv](https://img.shields.io/badge/arXiv-2308.00958-b31b1b.svg)](https://arxiv.org/abs/2308.00958) | | | 11234 | Inertial Algorithm with Dry Fraction and Convolutional Sparse Coding for 3D | | [![arXiv](https://img.shields.io/badge/arXiv-2109.02969-b31b1b.svg)](https://arxiv.org/abs/2109.02969) | | | 6878 | Segment beyond View: Handling Partially Missing Modality for Audio-Visual | | [![arXiv](https://img.shields.io/badge/arXiv-2204.13707-b31b1b.svg)](https://arxiv.org/abs/2204.13707) | | | 10329 | RG-GAN: Dynamic Regenerative Pruning for Data-Efficient Generative | | | | | 6233 | Explore 3D Dance Generation via Reward Model from Automatically-Ranked | | [![arXiv](https://img.shields.io/badge/arXiv-2312.11442-b31b1b.svg)](https://arxiv.org/abs/2312.11442) | | | 11799 | On the Outcome Equivalence of Extensive-Form and Behavioral Correlated | | [![arXiv](https://img.shields.io/badge/arXiv-2402.05245-b31b1b.svg)](https://arxiv.org/abs/2402.05245) | | | 8858 | AltDiffusion: A Multilingual Text-to-Image Diffusion Model | | | | | 10857 | Automated Design of Affine Maximizer Mechanisms in Dynamic Settings | | [![arXiv](https://img.shields.io/badge/arXiv-2402.08129-b31b1b.svg)](https://arxiv.org/abs/2402.08129) | | | 11925 | Computing Nash Equilibria in Potential Games with Private Uncoupled | | [![arXiv](https://img.shields.io/badge/arXiv-2402.07797-b31b1b.svg)](https://arxiv.org/abs/2402.07797) | | | 10804 | Dependency Structure-Enhanced Graph Attention Networks for Event Detection | | [![arXiv](https://img.shields.io/badge/arXiv-2110.12148-b31b1b.svg)](https://arxiv.org/abs/2110.12148) | | | 503 | SGFormer: Semantic Graph Transformer for Point Cloud-Based 3D Scene | | | | | 5326 | HISR: Hybrid Implicit Surface Representation for Photorealistic 3D Human | | | | | 11006 | Unifying Decision and Function Queries in Stochastic Boolean Satisfiability | | [![arXiv](https://img.shields.io/badge/arXiv-1701.04626-b31b1b.svg)](https://arxiv.org/abs/1701.04626) | | | 3837 | Count What You Want: Exemplar Identification and Few-Shot Counting of | | [![arXiv](https://img.shields.io/badge/arXiv-2312.17330-b31b1b.svg)](https://arxiv.org/abs/2312.17330) | | | 9878 | Symmetric Q-learning: Reducing Skewness of Bellman Error in Online | | [![arXiv](https://img.shields.io/badge/arXiv-2205.08464-b31b1b.svg)](https://arxiv.org/abs/2205.08464) | | | 11041 | Enhancing Training of Spiking Neural Network with Stochastic Latency | | [![arXiv](https://img.shields.io/badge/arXiv-1910.13931-b31b1b.svg)](https://arxiv.org/abs/1910.13931) | | | 5624 | Grab What You Need: Rethinking Complex Table Structure Recognition with | | [![arXiv](https://img.shields.io/badge/arXiv-2303.09174-b31b1b.svg)](https://arxiv.org/abs/2303.09174) | | | 10002 | LLMEval: A Preliminary Study on How to Evaluate Large Language Models | | | | | 11331 | SECap: Speech Emotion Captioning with Large Language Model | | | | | 3484 | SeqRank: Sequential Ranking of Salient Objects | | | | | 8732 | GCNext: Towards the Unity of Graph Convolutions for Human Motion Prediction | | | | | 10763 | Bilateral Gradual Semantics for Weighted Argumentation | | [![arXiv](https://img.shields.io/badge/arXiv-2401.11472-b31b1b.svg)](https://arxiv.org/abs/2401.11472) | | | 4982 | Robust Test-Time Adaptation for Zero-Shot Prompt Tuning | | [![arXiv](https://img.shields.io/badge/arXiv-2207.08408-b31b1b.svg)](https://arxiv.org/abs/2207.08408) | | | 12338 | Uncertainty-Aware Yield Prediction with Multimodal Molecular Features | | [![arXiv](https://img.shields.io/badge/arXiv-2312.17495-b31b1b.svg)](https://arxiv.org/abs/2312.17495) | | | 12927 | Preference Aware Dual Contrastive Learning for Item Cold-Start | | [![arXiv](https://img.shields.io/badge/arXiv-2209.08446-b31b1b.svg)](https://arxiv.org/abs/2209.08446) | | | 12876 | Learning Performance Maximizing Ensembles with Explainability Guarantees | | [![arXiv](https://img.shields.io/badge/arXiv-2312.12715-b31b1b.svg)](https://arxiv.org/abs/2312.12715) | | | 7646 | Communication Efficient Distributed Newton Method over Unreliable Networks | | [![arXiv](https://img.shields.io/badge/arXiv-1503.06883-b31b1b.svg)](https://arxiv.org/abs/1503.06883) | | | 6260 | How to Evaluate the Generalization of Detection? A Benchmark for | | [![arXiv](https://img.shields.io/badge/arXiv-0912.3843-b31b1b.svg)](https://arxiv.org/abs/0912.3843) | | | 8005 | Axiomatic Aggregations of Abductive Explanations | | [![arXiv](https://img.shields.io/badge/arXiv-2310.03131-b31b1b.svg)](https://arxiv.org/abs/2310.03131) | | | 9152 | Continual Vision-Language Retrieval via Dynamic Knowledge Rectification | | [![arXiv](https://img.shields.io/badge/arXiv-2012.04363-b31b1b.svg)](https://arxiv.org/abs/2012.04363) | | | 9498 | KAM-CoT: Knowledge Augmented Multimodal Chain-of-Thoughts Reasoning | | | | | 5193 | MuST: Robust Image Watermarking for Multi-Source Tracing | | | | | 11333 | Efficient Conditional Diffusion Model with Probability Flow Sampling for Image | | [![arXiv](https://img.shields.io/badge/arXiv-2210.02747-b31b1b.svg)](https://arxiv.org/abs/2210.02747) | | | 5509 | Inconsistency-Based Data-Centric Active Open-Set Annotation | | [![arXiv](https://img.shields.io/badge/arXiv-2206.04874-b31b1b.svg)](https://arxiv.org/abs/2206.04874) | | | 11647 | Hierarchical Planning and Learning for Robots in Stochastic Settings Using Zero- | | [![arXiv](https://img.shields.io/badge/arXiv-1909.09233-b31b1b.svg)](https://arxiv.org/abs/1909.09233) | | | 12140 | Optimizing the Optimization of Planning Domains by Automatic Action Schema | | [![arXiv](https://img.shields.io/badge/arXiv-1811.05701-b31b1b.svg)](https://arxiv.org/abs/1811.05701) | | | 4057 | Frequency-Aware Deepfake Detection: Improving Generalizability through | | [![arXiv](https://img.shields.io/badge/arXiv-2310.07028-b31b1b.svg)](https://arxiv.org/abs/2310.07028) | | | 11579 | Learning Persistent Community Structures in Dynamic Networks via Topological | | [![arXiv](https://img.shields.io/badge/arXiv-2401.03194-b31b1b.svg)](https://arxiv.org/abs/2401.03194) | | | 1968 | PMRC: Prompt-Based Machine Reading Comprehension for Few-Shot Named | | | | | 8297 | Efficient Learning in Polyhedral Games via Best-Response Oracles | | [![arXiv](https://img.shields.io/badge/arXiv-2312.03696-b31b1b.svg)](https://arxiv.org/abs/2312.03696) | | | 3922 | SlowTrack: Increasing the Latency of Camera-Based Perception in Autonomous | | | | | 9076 | Composite Active Learning: Towards Multi-Domain Active Learning with | | [![arXiv](https://img.shields.io/badge/arXiv-2104.02278-b31b1b.svg)](https://arxiv.org/abs/2104.02278) | | | 1395 | Fully Data-Driven Pseudo Label Estimation for Pointly-Supervised Panoptic | | [![arXiv](https://img.shields.io/badge/arXiv-2210.07577-b31b1b.svg)](https://arxiv.org/abs/2210.07577) | | | 10212 | From Toxic to Trustworthy: Using Self-Distillation and Semi-supervised Methods | | [![arXiv](https://img.shields.io/badge/arXiv-2307.03386-b31b1b.svg)](https://arxiv.org/abs/2307.03386) | | | 2314 | MINES: Message Intercommunication for Inductive Relation Reasoning over | | | | | 6763 | Evolving Parameterized Prompt Memory for Continual Learning Muhammad | | [![arXiv](https://img.shields.io/badge/arXiv-2308.15827-b31b1b.svg)](https://arxiv.org/abs/2308.15827) | | | 8117 | ACAMDA: Improving Data Efficiency in Reinforcement Learning through Guided | | | | | 12437 | Towards Safe Policy Learning under Partial Identifiability: A Causal Approach | | [![arXiv](https://img.shields.io/badge/arXiv-2009.12612-b31b1b.svg)](https://arxiv.org/abs/2009.12612) | | | 5483 | Composing Biases by Using CP to Decompose Minimal Functional | | [![arXiv](https://img.shields.io/badge/arXiv-2103.03262-b31b1b.svg)](https://arxiv.org/abs/2103.03262) | | | 6512 | SocialCVAE: Predicting Pedestrian Trajectory via Interaction Conditioned Latents | | | | | 9318 | Spectral-Based Graph Neural Networks for Complementary Item | | [![arXiv](https://img.shields.io/badge/arXiv-2401.02130-b31b1b.svg)](https://arxiv.org/abs/2401.02130) | | | 13145 | Double Auction on Diffusion Network | | [![arXiv](https://img.shields.io/badge/arXiv-2108.00381-b31b1b.svg)](https://arxiv.org/abs/2108.00381) | | | 5271 | FairTrade: Achieving Pareto-Optimal Trade-Offs between Balanced Accuracy | | | | | 6445 | Deep Incomplete Multi-View Learning Network with Insufficient Label Information | | [![arXiv](https://img.shields.io/badge/arXiv-2305.18457-b31b1b.svg)](https://arxiv.org/abs/2305.18457) | | | 1788 | WeditGAN: Few-Shot Image Generation via Latent Space Relocation | | | | | 10963 | Fact-Driven Logical Reasoning for Machine Reading Comprehension | | [![arXiv](https://img.shields.io/badge/arXiv-2304.01046-b31b1b.svg)](https://arxiv.org/abs/2304.01046) | | | 11418 | An Attentive Inductive Bias for Sequential Recommendation beyond the Self- | | [![arXiv](https://img.shields.io/badge/arXiv-2312.10325-b31b1b.svg)](https://arxiv.org/abs/2312.10325) | | | 6408 | Improving Audio-Visual Segmentation with Bidirectional Generation | | [![arXiv](https://img.shields.io/badge/arXiv-2208.06671-b31b1b.svg)](https://arxiv.org/abs/2208.06671) | | | 3848 | EarnHFT: Efficient Hierarchical Reinforcement Learning for High Frequency | | | | | 4869 | I-rebalance: Personalized Vehicle Repositioning for Supply Demand Balance | | | | | 1465 | FaceCoresetNet: Differentiable Coresets for Face Set Recognition | | | | | 3419 | SPGroup3D: Superpoint Grouping Network for Indoor 3D Object Detection | | | | | 6246 | PNeSM: Arbitrary 3D Scene Stylization via Prompt-Based Neural Style Mapping | | | | | 4761 | A Brain-Inspired Way of Reducing the Network Complexity via Concept- | | [![arXiv](https://img.shields.io/badge/arXiv-1509.06252-b31b1b.svg)](https://arxiv.org/abs/1509.06252) | | | 10379 | Coreference Graph Guidance for Mind-Map Generation | | [![arXiv](https://img.shields.io/badge/arXiv-2402.01446-b31b1b.svg)](https://arxiv.org/abs/2402.01446) | | | 8314 | CMDA: Cross-Modal and Domain Adversarial Adaptation for LiDAR-Based 3D | | | | | 5577 | Uncertainty Quantification in Heterogeneous Treatment Effect Estimation with | | [![arXiv](https://img.shields.io/badge/arXiv-2312.10435-b31b1b.svg)](https://arxiv.org/abs/2312.10435) | | | 6848 | Generalized Variational Inference via Optimal Transport | | [![arXiv](https://img.shields.io/badge/arXiv-1811.02827-b31b1b.svg)](https://arxiv.org/abs/1811.02827) | | | 10509 | Cumulative Difference Learning VAE for Time-Series with Temporally Correlated | | [![arXiv](https://img.shields.io/badge/arXiv-2203.01218-b31b1b.svg)](https://arxiv.org/abs/2203.01218) | | | 5587 | BCLNet: Bilateral Consensus Learning for Two-View Correspondence Pruning | | | | | 4695 | Factorized Explainer for Graph Neural Networks | | [![arXiv](https://img.shields.io/badge/arXiv-2203.09258-b31b1b.svg)](https://arxiv.org/abs/2203.09258) | | | 1265 | Frame Semantic Role Labeling Using Arbitrary-Order Conditional Random Fields | | [![arXiv](https://img.shields.io/badge/arXiv-1912.05307-b31b1b.svg)](https://arxiv.org/abs/1912.05307) | | | 5554 | TransGOP: Transformer-Based Gaze Object Prediction | | | | | 10549 | Spatio-Temporal Pivotal Graph Neural Networks for Traffic Flow Forecasting | | [![arXiv](https://img.shields.io/badge/arXiv-2108.02424-b31b1b.svg)](https://arxiv.org/abs/2108.02424) | | | 1778 | SOGDet: Semantic-Occupancy Guided Multi-View 3D Object Detection | | | | | 2683 | Exploiting Polarized Material Cues for Robust Car Detection | | [![arXiv](https://img.shields.io/badge/arXiv-2401.02606-b31b1b.svg)](https://arxiv.org/abs/2401.02606) | | | 1998 | An Efficient Subgraph-Inferring Framework for Large-Scale Heterogeneous | | [![arXiv](https://img.shields.io/badge/arXiv-1801.06267-b31b1b.svg)](https://arxiv.org/abs/1801.06267) | | | 11556 | Signed Graph Neural Ordinary Differential Equation for Modeling Continuous- | | [![arXiv](https://img.shields.io/badge/arXiv-2011.03902-b31b1b.svg)](https://arxiv.org/abs/2011.03902) | | | 12776 | BBScore: A Brownian Bridge Based Metric for Assessing Text Coherence | | | | | 10777 | Empowering Dual-Level Graph Self-Supervised Pretraining with Motif Discovery | | [![arXiv](https://img.shields.io/badge/arXiv-2312.11927-b31b1b.svg)](https://arxiv.org/abs/2312.11927) | | | 3288 | Rectangle Search: An Anytime Beam Search | | [![arXiv](https://img.shields.io/badge/arXiv-2312.12554-b31b1b.svg)](https://arxiv.org/abs/2312.12554) | | | 1595 | Fewer Steps, Better Performance: Efficient Cross-Modal Clip Trimming for Video | | [![arXiv](https://img.shields.io/badge/arXiv-1904.04289-b31b1b.svg)](https://arxiv.org/abs/1904.04289) | | | 1533 | FAVOR: Full-Body AR-Driven Virtual Object Rearrangement Guided by | | | | | 3106 | SkipDiff: Adaptive Skip Diffusion Model for High-Fidelity Perceptual Image Super- | | | | | 1248 | Self-Supervised Disentangled Representation Learning for Robust Target Speech | | [![arXiv](https://img.shields.io/badge/arXiv-2312.10305-b31b1b.svg)](https://arxiv.org/abs/2312.10305) | | | 3702 | MWSIS: Multimodal Weakly Supervised Instance Segmentation with 2D Box | | | | | 3307 | Feature Transportation Improves Graph Neural Networks | | [![arXiv](https://img.shields.io/badge/arXiv-2303.17485-b31b1b.svg)](https://arxiv.org/abs/2303.17485) | | | 13118 | PoseGen: Learning to Generate 3D Human Pose Dataset with NeRF | | | | | 1922 | UFDA: Universal Federated Domain Adaptation with Practical Assumptions | | | | | 3269 | How to Overcome Curse-of-Dimensionality for Out-of-Distribution Detection? Soumya | | [![arXiv](https://img.shields.io/badge/arXiv-0912.3843-b31b1b.svg)](https://arxiv.org/abs/0912.3843) | | | 9848 | ShareBERT: Embeddings Are Capable of Learning Hidden Layers Jia | | | | | 8596 | Spatio-Temporal Fusion for Human Action Recognition via Joint Trajectory | | [![arXiv](https://img.shields.io/badge/arXiv-1711.01589-b31b1b.svg)](https://arxiv.org/abs/1711.01589) | | | 1547 | Sparse Enhanced Network: An Adversarial Generation Method for Robust | | [![arXiv](https://img.shields.io/badge/arXiv-2108.08976-b31b1b.svg)](https://arxiv.org/abs/2108.08976) | | | 7891 | Efficient Axiomatization of OWL 2 EL Ontologies from Data by Means of Formal | | [![arXiv](https://img.shields.io/badge/arXiv-1710.07114-b31b1b.svg)](https://arxiv.org/abs/1710.07114) | | | 4003 | Robust Node Classification on Graph Data with Graph and Label Noise | | [![arXiv](https://img.shields.io/badge/arXiv-1910.09706-b31b1b.svg)](https://arxiv.org/abs/1910.09706) | | | 2666 | Sharpness-Aware Model-Agnostic Long-Tailed Domain Generalization | | [![arXiv](https://img.shields.io/badge/arXiv-2106.12212-b31b1b.svg)](https://arxiv.org/abs/2106.12212) | | | 7564 | SpikingBERT: Distilling BERT to Train Spiking Language Models Using Implicit | | | | | 2055 | Temporal Correlation Vision Transformer for Video Person Re-Identification | | [![arXiv](https://img.shields.io/badge/arXiv-2303.11332-b31b1b.svg)](https://arxiv.org/abs/2303.11332) | | | 3218 | Learning Content-Enhanced Mask Transformer for Domain Generalized Urban- | | [![arXiv](https://img.shields.io/badge/arXiv-2306.09305-b31b1b.svg)](https://arxiv.org/abs/2306.09305) | | | 4589 | CRA-PCN: Point Cloud Completion with Intra- and Inter-level Cross-Resolution | | | | | 9427 | QCS-SGM+: Improved Quantized Compressed Sensing with Score-Based | | | | | 8589 | Shrinking Your TimeStep: Towards Low-Latency Neuromorphic Object | | [![arXiv](https://img.shields.io/badge/arXiv-2401.01912-b31b1b.svg)](https://arxiv.org/abs/2401.01912) | | | 11511 | Probabilities of Causation with Nonbinary Treatment and Effect | | [![arXiv](https://img.shields.io/badge/arXiv-2208.09568-b31b1b.svg)](https://arxiv.org/abs/2208.09568) | | | 3399 | Enhancing Hyperspectral Images via Diffusion Model and Group-Autoencoder | | [![arXiv](https://img.shields.io/badge/arXiv-2311.13622-b31b1b.svg)](https://arxiv.org/abs/2311.13622) | | | 5372 | Towards Modeling Uncertainties of Self-Explaining Neural Networks via | | [![arXiv](https://img.shields.io/badge/arXiv-2205.09968-b31b1b.svg)](https://arxiv.org/abs/2205.09968) | | | 7631 | Concept-Guided Prompt Learning for Generalization in Vision-Language Models | | [![arXiv](https://img.shields.io/badge/arXiv-2008.01441-b31b1b.svg)](https://arxiv.org/abs/2008.01441) | | | 6250 | FRED: Towards a Full Rotation-Equivariance in Aerial Image Object Detection | | | | | 5748 | AT4CTR: Auxiliary Match Tasks for Enhancing Click-Through Rate Prediction | | | | | 9759 | StegaStyleGAN: Towards Generic and Practical Generative Image | | | | | 10313 | Emergent Communication for Numerical Concepts Generalization | | [![arXiv](https://img.shields.io/badge/arXiv-2307.11423-b31b1b.svg)](https://arxiv.org/abs/2307.11423) | | | 7454 | Aligning Geometric Spatial Layout in Cross-View Geo-Localization via Feature | | [![arXiv](https://img.shields.io/badge/arXiv-2212.04074-b31b1b.svg)](https://arxiv.org/abs/2212.04074) | | | 10570 | Simple Weak Coresets for Non-decomposable Classification Measures | | [![arXiv](https://img.shields.io/badge/arXiv-2312.09885-b31b1b.svg)](https://arxiv.org/abs/2312.09885) | | | 4306 | Learning Multi-Scale Video-Text Correspondence for Weakly Supervised | | [![arXiv](https://img.shields.io/badge/arXiv-2105.06464-b31b1b.svg)](https://arxiv.org/abs/2105.06464) | | | 12474 | A Surprisingly Simple Continuous-Action POMDP Solver: Lazy Cross-Entropy | | [![arXiv](https://img.shields.io/badge/arXiv-2305.08049-b31b1b.svg)](https://arxiv.org/abs/2305.08049) | | | 3432 | YTCommentQA: Video Question Answerability in Instructional Videos | | | | | 12449 | Explainable Origin-Destination Crowd Flow Interpolation via Variational Multi- | | [![arXiv](https://img.shields.io/badge/arXiv-1910.12384-b31b1b.svg)](https://arxiv.org/abs/1910.12384) | | | 1276 | Towards Multi-Intent Spoken Language Understanding via Hierarchical Attention | | [![arXiv](https://img.shields.io/badge/arXiv-1608.07775-b31b1b.svg)](https://arxiv.org/abs/1608.07775) | | | 9664 | Large Language Models Are Neurosymbolic Reasoners | | [![arXiv](https://img.shields.io/badge/arXiv-2304.04812-b31b1b.svg)](https://arxiv.org/abs/2304.04812) | | | 1240 | Low Category Uncertainty and High Training Potential Instance Learning for | | [![arXiv](https://img.shields.io/badge/arXiv-2308.08476-b31b1b.svg)](https://arxiv.org/abs/2308.08476) | | | 1681 | FedST: Federated Style Transfer Learning for Non-IID Image Segmentation | | | | | 4047 | Efficient Learning of PDEs via Taylor Expansion and Sparse Decomposition into | | [![arXiv](https://img.shields.io/badge/arXiv-2309.07344-b31b1b.svg)](https://arxiv.org/abs/2309.07344) | | | 13554 | Discrepancy and Uncertainty Aware Denoising Knowledge Distillation for Zero- | | [![arXiv](https://img.shields.io/badge/arXiv-2012.09413-b31b1b.svg)](https://arxiv.org/abs/2012.09413) | | | 13590 | Foundations of Reactive Synthesis for Declarative Process Specifications | | [![arXiv](https://img.shields.io/badge/arXiv-2212.10875-b31b1b.svg)](https://arxiv.org/abs/2212.10875) | | | 206 | Compound Text-Guided Prompt Tuning via Image-Adaptive Cues | | [![arXiv](https://img.shields.io/badge/arXiv-2312.06401-b31b1b.svg)](https://arxiv.org/abs/2312.06401) | | | 6942 | Exploiting the Social-Like Prior in Transformer for Visual Reasoning | | [![arXiv](https://img.shields.io/badge/arXiv-2212.09329-b31b1b.svg)](https://arxiv.org/abs/2212.09329) | | | 9687 | Urban Region Embedding via Multi-View Contrastive Prediction | | [![arXiv](https://img.shields.io/badge/arXiv-2312.09681-b31b1b.svg)](https://arxiv.org/abs/2312.09681) | | | 4582 | Resource Efficient Deep Learning Hardware Watermarks with Signature | | [![arXiv](https://img.shields.io/badge/arXiv-2305.02781-b31b1b.svg)](https://arxiv.org/abs/2305.02781) | | | 13511 | Memory-Efficient Prompt Tuning for Incremental Histopathology Classification | | [![arXiv](https://img.shields.io/badge/arXiv-2401.11674-b31b1b.svg)](https://arxiv.org/abs/2401.11674) | | | 10702 | STAR: Boosting Low-Resource Information Extraction by Structure-to-Text Data | | | | | 12518 | IOFM: Using the Interpolation Technique on the Over-Fitted Models to Identify | | | | | 3359 | Improving Distinguishability of Class for Graph Neural Networks | | [![arXiv](https://img.shields.io/badge/arXiv-2005.06649-b31b1b.svg)](https://arxiv.org/abs/2005.06649) | | | 7009 | Disjoint Partial Enumeration without Blocking Clauses | | [![arXiv](https://img.shields.io/badge/arXiv-2306.00461-b31b1b.svg)](https://arxiv.org/abs/2306.00461) | | | 13692 | A Multi-Modal Contrastive Diffusion Model for Therapeutic Peptide Generation | | [![arXiv](https://img.shields.io/badge/arXiv-2312.15665-b31b1b.svg)](https://arxiv.org/abs/2312.15665) | | | 8285 | Adversarially Balanced Representation for Continuous Treatment Effect | | [![arXiv](https://img.shields.io/badge/arXiv-2309.03731-b31b1b.svg)](https://arxiv.org/abs/2309.03731) | | | 3239 | X-RefSeg3D: Enhancing Referring 3D Instance Segmentation via Structured | | | | | 10114 | Iterative Regularization with k-support Norm: An Important Complement to | | [![arXiv](https://img.shields.io/badge/arXiv-1303.6390-b31b1b.svg)](https://arxiv.org/abs/1303.6390) | | | 8075 | Learning GAI-Decomposable Utility Models for Multiattribute Decision Making | | [![arXiv](https://img.shields.io/badge/arXiv-1701.08890-b31b1b.svg)](https://arxiv.org/abs/1701.08890) | | | 1286 | Multi-Region Text-Driven Manipulation of Diffusion Imagery | | [![arXiv](https://img.shields.io/badge/arXiv-2305.05784-b31b1b.svg)](https://arxiv.org/abs/2305.05784) | | | 12770 | Towards Fine-Grained HBOE with Rendered Orientation Set and Laplace | | [![arXiv](https://img.shields.io/badge/arXiv-2210.15586-b31b1b.svg)](https://arxiv.org/abs/2210.15586) | | | 12188 | ‘Why Didn’t You Allocate This Task to Them?’ Negotiation-Aware Task | | [![arXiv](https://img.shields.io/badge/arXiv-2002.01640-b31b1b.svg)](https://arxiv.org/abs/2002.01640) | | | 6439 | Causal-Driven Skill Prerequisite Structure Discovery | | [![arXiv](https://img.shields.io/badge/arXiv-2305.16165-b31b1b.svg)](https://arxiv.org/abs/2305.16165) | | | 1403 | Repeated Fair Allocation of Indivisible Items | | [![arXiv](https://img.shields.io/badge/arXiv-2110.09066-b31b1b.svg)](https://arxiv.org/abs/2110.09066) | | | 7348 | GAMC: An Unsupervised Method for Fake News Detection Using Graph | | | | | 8131 | IVP-VAE: Modeling EHR Time Series with Initial Value Problem Solvers | | | | | 4936 | A Bregman Proximal Stochastic Gradient Method with Extrapolation for | | [![arXiv](https://img.shields.io/badge/arXiv-1904.11295-b31b1b.svg)](https://arxiv.org/abs/1904.11295) | | | 9582 | Learning Visual Abstract Reasoning through Dual-Stream Networks | | [![arXiv](https://img.shields.io/badge/arXiv-1911.05990-b31b1b.svg)](https://arxiv.org/abs/1911.05990) | | | 1925 | High-Order Structure Based Middle-Feature Learning for Visible-Infrared Person | | [![arXiv](https://img.shields.io/badge/arXiv-1907.08822-b31b1b.svg)](https://arxiv.org/abs/1907.08822) | | | 4338 | Mitigating Idiom Inconsistency: A Multi-Semantic Contrastive Learning Method | | [![arXiv](https://img.shields.io/badge/arXiv-1904.09086-b31b1b.svg)](https://arxiv.org/abs/1904.09086) | | | 10881 | Online Submodular Maximization via Online Convex Optimization Tareq | | [![arXiv](https://img.shields.io/badge/arXiv-2309.04339-b31b1b.svg)](https://arxiv.org/abs/2309.04339) | | | 8224 | Approval-Based Committee Voting in Practice: A Case Study of (over- | | | | | 10957 | Adversarial Attacks on Federated-Learned Adaptive Bitrate Algorithms | | [![arXiv](https://img.shields.io/badge/arXiv-2207.05798-b31b1b.svg)](https://arxiv.org/abs/2207.05798) | | | 13367 | Conformal Autoregressive Generation: Beam Search with Coverage Guarantees | | [![arXiv](https://img.shields.io/badge/arXiv-2309.03797-b31b1b.svg)](https://arxiv.org/abs/2309.03797) | | | 12373 | Code-Style In-Context Learning for Knowledge-Based Question Answering | | [![arXiv](https://img.shields.io/badge/arXiv-2311.10609-b31b1b.svg)](https://arxiv.org/abs/2311.10609) | | | 8739 | Graph Disentangled Contrastive Learning with Personalized Transfer for Cross- | | [![arXiv](https://img.shields.io/badge/arXiv-2108.01069-b31b1b.svg)](https://arxiv.org/abs/2108.01069) | | | 10979 | Two-Stage Evolutionary Reinforcement Learning for Enhancing Exploration and | | [![arXiv](https://img.shields.io/badge/arXiv-2306.09961-b31b1b.svg)](https://arxiv.org/abs/2306.09961) | | | 11558 | Natural Strategic Ability in Stochastic Multi-Agent Systems | | [![arXiv](https://img.shields.io/badge/arXiv-2401.12170-b31b1b.svg)](https://arxiv.org/abs/2401.12170) | | | 10239 | Turning Waste into Wealth: Leveraging Low-Quality Samples for Enhancing | | [![arXiv](https://img.shields.io/badge/arXiv-2201.00180-b31b1b.svg)](https://arxiv.org/abs/2201.00180) | | | 8667 | Manifold Constraints for Imperceptible Adversarial Attacks on Point Clouds | | [![arXiv](https://img.shields.io/badge/arXiv-2202.07261-b31b1b.svg)](https://arxiv.org/abs/2202.07261) | | | 10896 | SpFormer: Spatio-Temporal Modeling for Scanpaths with Transformer | | | | | 1785 | Object-Aware Adaptive-Positivity Learning for Audio-Visual Question Answering | | [![arXiv](https://img.shields.io/badge/arXiv-1506.06490-b31b1b.svg)](https://arxiv.org/abs/1506.06490) | | | 11528 | Unit Selection with Nonbinary Treatment and Effect | | [![arXiv](https://img.shields.io/badge/arXiv-2208.09569-b31b1b.svg)](https://arxiv.org/abs/2208.09569) | | | 12663 | Traffic Flow Optimisation for Lifelong Multi-Agent Path Finding | | [![arXiv](https://img.shields.io/badge/arXiv-2308.11234-b31b1b.svg)](https://arxiv.org/abs/2308.11234) | | | 3566 | Enhancing Neural Radiance Fields with Adaptive Multi-Exposure Fusion: A | | [![arXiv](https://img.shields.io/badge/arXiv-2309.11281-b31b1b.svg)](https://arxiv.org/abs/2309.11281) | | | 13489 | MolTailor: Tailoring Chemical Molecular Representation to Specific Tasks via | | | | | 209 | Accelerating the Global Aggregation of Local Explanations | | [![arXiv](https://img.shields.io/badge/arXiv-1907.03039-b31b1b.svg)](https://arxiv.org/abs/1907.03039) | | | 5791 | CUTS+: High-Dimensional Causal Discovery from Irregular Time-Series | | | | | 300 | Sync-NeRF: Generalizing Dynamic NeRFs to Unsynchronized Videos | | | | | 9778 | CF-NeRF: Camera Parameter Free Neural Radiance Fields with Incremental | | | | | 4112 | An Exercise in Tournament Design: When Some Matches Must Be Scheduled | | [![arXiv](https://img.shields.io/badge/arXiv-2402.06538-b31b1b.svg)](https://arxiv.org/abs/2402.06538) | | | 7197 | Multi-Source Collaborative Gradient Discrepancy Minimization for Federated | | [![arXiv](https://img.shields.io/badge/arXiv-2401.10272-b31b1b.svg)](https://arxiv.org/abs/2401.10272) | | | 10054 | Controller-Guided Partial Label Consistency Regularization with Unlabeled Data | | [![arXiv](https://img.shields.io/badge/arXiv-2210.11194-b31b1b.svg)](https://arxiv.org/abs/2210.11194) | | | 4649 | Federated Contextual Cascading Bandits with Asynchronous Communication | | [![arXiv](https://img.shields.io/badge/arXiv-2207.03106-b31b1b.svg)](https://arxiv.org/abs/2207.03106) | | | 1111 | msLPCC: A Multimodal-Driven Scalable Framework for Deep LiDAR Point Cloud | | | | | 2081 | Prompting Segmentation with Sound Is Generalizable Audio-Visual Source | | [![arXiv](https://img.shields.io/badge/arXiv-2002.02065-b31b1b.svg)](https://arxiv.org/abs/2002.02065) | | | 10958 | Cautiously-Optimistic Knowledge Sharing for Cooperative Multi-Agent | | [![arXiv](https://img.shields.io/badge/arXiv-2005.14505-b31b1b.svg)](https://arxiv.org/abs/2005.14505) | | | 3693 | A Unified View on Forgetting and Strong Equivalence Notions in Answer Set | | [![arXiv](https://img.shields.io/badge/arXiv-2312.07993-b31b1b.svg)](https://arxiv.org/abs/2312.07993) | | | 12031 | Graph Neural Prompting with Large Language Models | | [![arXiv](https://img.shields.io/badge/arXiv-2305.18507-b31b1b.svg)](https://arxiv.org/abs/2305.18507) | | | 12949 | Chain-of-Thought Improves Text Generation with Citations in Large Language | | [![arXiv](https://img.shields.io/badge/arXiv-2104.08087-b31b1b.svg)](https://arxiv.org/abs/2104.08087) | | | 3769 | The Choice of Noninformative Priors for Thompson Sampling in Multiparameter | | [![arXiv](https://img.shields.io/badge/arXiv-2302.14407-b31b1b.svg)](https://arxiv.org/abs/2302.14407) | | | 10314 | Worst-Case VCG Redistribution Mechanism Design Based on the Lottery Ticket | | [![arXiv](https://img.shields.io/badge/arXiv-2305.11011-b31b1b.svg)](https://arxiv.org/abs/2305.11011) | | | 8734 | Hypergraph Neural Architecture Search | | [![arXiv](https://img.shields.io/badge/arXiv-2006.06936-b31b1b.svg)](https://arxiv.org/abs/2006.06936) | | | 11541 | Box2Poly: Memory-Efficient Polygon Prediction of Arbitrarily Shaped and | | | | | 5139 | Machine Learning-Powered Combinatorial Clock Auction Ermis | | [![arXiv](https://img.shields.io/badge/arXiv-2308.10226-b31b1b.svg)](https://arxiv.org/abs/2308.10226) | | | 1738 | Boosting Few-Shot Learning via Attentive Feature Regularization | | [![arXiv](https://img.shields.io/badge/arXiv-2210.04206-b31b1b.svg)](https://arxiv.org/abs/2210.04206) | | | 4595 | A Fixed-Point Approach to Unified Prompt-Based Counting | | [![arXiv](https://img.shields.io/badge/arXiv-1003.1362-b31b1b.svg)](https://arxiv.org/abs/1003.1362) | | | 5951 | Mixup-Induced Domain Extrapolation for Domain Generalization | | [![arXiv](https://img.shields.io/badge/arXiv-2102.13128-b31b1b.svg)](https://arxiv.org/abs/2102.13128) | | | 12645 | Parameterized Approximation Algorithms for Sum of Radii Clustering and | | [![arXiv](https://img.shields.io/badge/arXiv-2309.00834-b31b1b.svg)](https://arxiv.org/abs/2309.00834) | | | 9099 | LSTKC: Long Short-Term Knowledge Consolidation for Lifelong Person Re- | | | | | 2899 | Interpretable3D: An Ad-Hoc Interpretable Classifier for 3D Point Clouds | | | | | 12659 | HDformer: A Higher-Dimensional Transformer for Detecting Diabetes Utilizing | | | | | 2844 | 3D-STMN: Dependency-Driven Superpoint-Text Matching Network for End-to- | | | | | 9202 | Meta-Reinforcement Learning via Exploratory Task Clustering | | [![arXiv](https://img.shields.io/badge/arXiv-2302.07958-b31b1b.svg)](https://arxiv.org/abs/2302.07958) | | | 9977 | Improved Metric Distortion via Threshold Approvals | | [![arXiv](https://img.shields.io/badge/arXiv-2305.14024-b31b1b.svg)](https://arxiv.org/abs/2305.14024) | | | 3868 | Direct May Not Be the Best: An Incremental Evolution View of Pose Generation | | [![arXiv](https://img.shields.io/badge/arXiv-2105.06599-b31b1b.svg)](https://arxiv.org/abs/2105.06599) | | | 3141 | AQ-DETR: Low-Bit Quantized Detection Transformer with Auxiliary Queries | | | | | 10035 | Learning Only When It Matters: Cost-Aware Long-Tailed Classification | | [![arXiv](https://img.shields.io/badge/arXiv-2106.12212-b31b1b.svg)](https://arxiv.org/abs/2106.12212) | | ================================================ FILE: sections/2024/main/1801_2000.md ================================================ # AAAI-2024-Papers
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## 1801-2000 papers ![Section Papers](https://img.shields.io/badge/Section%20Papers-soon-42BA16) ![Preprint Papers](https://img.shields.io/badge/Preprint%20Papers-soon-b31b1b) ![Papers with Open Code](https://img.shields.io/badge/Papers%20with%20Open%20Code-soon-1D7FBF) ![Papers with Video](https://img.shields.io/badge/Papers%20with%20Video-soon-FF0000) | :id: | **Title** | **Repo** | **Paper** | **Video** | |------|-----------|:--------:|:---------:|:---------:| | 7094 | Abstract Action Scheduling for Optimal Temporal Planning via OMT | | [![arXiv](https://img.shields.io/badge/arXiv-1711.04259-b31b1b.svg)](https://arxiv.org/abs/1711.04259) | | | 8901 | Pairwise-Label-Based Deep Incremental Hashing with Simultaneous Code | | [![arXiv](https://img.shields.io/badge/arXiv-1612.03900-b31b1b.svg)](https://arxiv.org/abs/1612.03900) | | | 6208 | Talk Funny! A Large-Scale Humor Response Dataset with Chain-of-Humor | | [![arXiv](https://img.shields.io/badge/arXiv-2210.13513-b31b1b.svg)](https://arxiv.org/abs/2210.13513) | | | 8765 | NaMa: Neighbor-Aware Multi-Modal Adaptive Learning for Prostate Tumor | | | | | 12810 | Translate Meanings, Not Just Words: IdiomKB’s Role in Optimizing Idiomatic | | [![arXiv](https://img.shields.io/badge/arXiv-2308.13961-b31b1b.svg)](https://arxiv.org/abs/2308.13961) | | | 6244 | Transferable Adversarial Attacks for Object Detection Using Object-Aware | | [![arXiv](https://img.shields.io/badge/arXiv-1906.07077-b31b1b.svg)](https://arxiv.org/abs/1906.07077) | | | 6477 | Taxonomy Driven Fast Adversarial Training | | [![arXiv](https://img.shields.io/badge/arXiv-2308.11443-b31b1b.svg)](https://arxiv.org/abs/2308.11443) | | | 3295 | Kumaraswamy Wavelet for Heterophilic Scene Graph Generation | | [![arXiv](https://img.shields.io/badge/arXiv-2106.06134-b31b1b.svg)](https://arxiv.org/abs/2106.06134) | | | 9125 | Efficient Online Crowdsourcing with Complex Annotations | | [![arXiv](https://img.shields.io/badge/arXiv-2401.15116-b31b1b.svg)](https://arxiv.org/abs/2401.15116) | | | 4045 | BDIQA: A New Dataset for Video Question Answering to Explore Cognitive | | | | | 9193 | Semantic-Guided Novel Category Discovery | | [![arXiv](https://img.shields.io/badge/arXiv-2307.10943-b31b1b.svg)](https://arxiv.org/abs/2307.10943) | | | 5992 | MedSegDiff-V2: Diffusion-Based Medical Image Segmentation with Transformer | | | | | 8024 | Rating-Based Reinforcement Learning | | [![arXiv](https://img.shields.io/badge/arXiv-2001.09608-b31b1b.svg)](https://arxiv.org/abs/2001.09608) | | | 12050 | Advancing Spatial Reasoning in Large Language Models: An In-Depth | | [![arXiv](https://img.shields.io/badge/arXiv-2007.09557-b31b1b.svg)](https://arxiv.org/abs/2007.09557) | | | 9060 | UniGen: A Unified Generative Framework for Retrieval and Question Answering | | | | | 3033 | Colour Passing Revisited: Lifted Model Construction with Commutative Factors | | [![arXiv](https://img.shields.io/badge/arXiv-2309.11236-b31b1b.svg)](https://arxiv.org/abs/2309.11236) | | | 4178 | Episodic Return Decomposition by Difference of Implicitly Assigned Sub- | | [![arXiv](https://img.shields.io/badge/arXiv-2312.10642-b31b1b.svg)](https://arxiv.org/abs/2312.10642) | | | 11531 | TA&AT: Enhancing Task-Oriented Dialog with Turn-Level Auxiliary Tasks and | | | | | 12826 | Efficient Representation Learning of Satellite Image Time Series and Their | | [![arXiv](https://img.shields.io/badge/arXiv-1903.08863-b31b1b.svg)](https://arxiv.org/abs/1903.08863) | | | 2047 | ViT-Calibrator: Decision Stream Calibration for Vision Transformer | | | | | 1246 | Parallel Ranking of Ads and Creatives in Real-Time Advertising Systems | | [![arXiv](https://img.shields.io/badge/arXiv-2312.12750-b31b1b.svg)](https://arxiv.org/abs/2312.12750) | | | 10373 | Hypergraph Joint Representation Learning for Hypervertices and Hyperedges via | | [![arXiv](https://img.shields.io/badge/arXiv-2309.05798-b31b1b.svg)](https://arxiv.org/abs/2309.05798) | | | 10790 | Towards Running Time Analysis of Interactive Multi-Objective Evolutionary | | [![arXiv](https://img.shields.io/badge/arXiv-2310.08384-b31b1b.svg)](https://arxiv.org/abs/2310.08384) | | | 1955 | PreRoutGNN for Timing Prediction with Order Preserving Partition: Global | | [![arXiv](https://img.shields.io/badge/arXiv-2105.03930-b31b1b.svg)](https://arxiv.org/abs/2105.03930) | | | 9368 | Upper Bounding Barlow Twins: A Novel Filter for Multi-Relational Clustering | | [![arXiv](https://img.shields.io/badge/arXiv-2312.14066-b31b1b.svg)](https://arxiv.org/abs/2312.14066) | | | 1556 | Continual Relation Extraction via Sequential Multi-Task Learning | | [![arXiv](https://img.shields.io/badge/arXiv-2205.00387-b31b1b.svg)](https://arxiv.org/abs/2205.00387) | | | 12377 | Revisiting Graph-Based Fraud Detection in Sight of Heterophily and Spectrum | | [![arXiv](https://img.shields.io/badge/arXiv-2312.06441-b31b1b.svg)](https://arxiv.org/abs/2312.06441) | | | 10996 | Progressive Text-to-Image Diffusion with Soft Latent Direction | | [![arXiv](https://img.shields.io/badge/arXiv-2309.09466-b31b1b.svg)](https://arxiv.org/abs/2309.09466) | | | 6918 | Generalization Analysis of Machine Learning Algorithms via the Worst-Case | | [![arXiv](https://img.shields.io/badge/arXiv-1307.3192-b31b1b.svg)](https://arxiv.org/abs/1307.3192) | | | 888 | Bootstrapping Large Language Models for Radiology Report Generation | | [![arXiv](https://img.shields.io/badge/arXiv-2309.06419-b31b1b.svg)](https://arxiv.org/abs/2309.06419) | | | 4818 | Frequency-Controlled Diffusion Model for Versatile Text-Guided Image-to-Image | | [![arXiv](https://img.shields.io/badge/arXiv-2211.08332-b31b1b.svg)](https://arxiv.org/abs/2211.08332) | | | 7227 | Dynamic Regret of Adversarial MDPs with Unknown Transition and Linear | | [![arXiv](https://img.shields.io/badge/arXiv-2311.07876-b31b1b.svg)](https://arxiv.org/abs/2311.07876) | | | 9285 | SciEval: A Multi-Level Large Language Model Evaluation Benchmark for | | | | | 6895 | DOGE-Train: Discrete Optimization on GPU with End-to-End Training | | | | | 12939 | Improving Open Set Recognition via Visual Prompts Distilled from Common- | | [![arXiv](https://img.shields.io/badge/arXiv-2203.10593-b31b1b.svg)](https://arxiv.org/abs/2203.10593) | | | 8286 | CrystalBox: Future-Based Explanations for Input-Driven Deep RL Systems | | | | | 2636 | GradTree: Learning Axis-Aligned Decision Trees with Gradient Descent | | | | | 12012 | Redefining ABA+ Semantics via Abstract Set-to-Set Attacks | | [![arXiv](https://img.shields.io/badge/arXiv-1610.03024-b31b1b.svg)](https://arxiv.org/abs/1610.03024) | | | 12348 | TexFit: Text-Driven Fashion Image Editing with Diffusion Models | | | | | 9459 | Personalized LoRA for Human-Centered Text Understanding | | [![arXiv](https://img.shields.io/badge/arXiv-2402.09353-b31b1b.svg)](https://arxiv.org/abs/2402.09353) | | | 5844 | Uncertainty-Aware GAN for Single Image Super Resolution Chenxi MaMain Track 2581 DeepCalliFont: Few-Shot Chinese Calligraphy Font Synthesis by Integrating Dual | | [![arXiv](https://img.shields.io/badge/arXiv-2312.10314-b31b1b.svg)](https://arxiv.org/abs/2312.10314) | | | 7767 | Mitigating the Impact of False Negative in Dense Retrieval with Contrastive | | [![arXiv](https://img.shields.io/badge/arXiv-2401.00165-b31b1b.svg)](https://arxiv.org/abs/2401.00165) | | | 2807 | DiffBEV: Conditional Diffusion Model for Bird’s Eye View Perception | | | | | 10722 | CORECODE: A Common Sense Annotated Dialogue Dataset with Benchmark | | | | | 3935 | Incremental Quasi-Newton Methods with Faster Superlinear Convergence Rates | | [![arXiv](https://img.shields.io/badge/arXiv-2302.08580-b31b1b.svg)](https://arxiv.org/abs/2302.08580) | | | 11292 | Unsupervised Training Sequence Design: Efficient and Generalizable Agent | | [![arXiv](https://img.shields.io/badge/arXiv-2302.04716-b31b1b.svg)](https://arxiv.org/abs/2302.04716) | | | 1052 | SGNet: Structure Guided Network via Gradient-Frequency Awareness for Depth | | | | | 203 | Cell Graph Transformer for Nuclei Classification | | [![arXiv](https://img.shields.io/badge/arXiv-2302.11416-b31b1b.svg)](https://arxiv.org/abs/2302.11416) | | | 9121 | Patch-Aware Sample Selection for Efficient Masked Image Modeling | | [![arXiv](https://img.shields.io/badge/arXiv-2109.01666-b31b1b.svg)](https://arxiv.org/abs/2109.01666) | | | 12379 | Towards Effective and General Graph Unlearning via Mutual Evolution | | [![arXiv](https://img.shields.io/badge/arXiv-2401.11760-b31b1b.svg)](https://arxiv.org/abs/2401.11760) | | | 11070 | PPEA-Depth: Progressive Parameter-Efficient Adaptation for Self-Supervised | | | | | 8452 | Enhance Sketch Recognition’s Explainability via Semantic Component-Level | | [![arXiv](https://img.shields.io/badge/arXiv-2312.07875-b31b1b.svg)](https://arxiv.org/abs/2312.07875) | | | 6709 | Prior and Prediction Inverse Kernel Transformer for Single Image Defocus | | [![arXiv](https://img.shields.io/badge/arXiv-2207.03047-b31b1b.svg)](https://arxiv.org/abs/2207.03047) | | | 6237 | Dual-Perspective Knowledge Enrichment for Semi-supervised 3D Object | | [![arXiv](https://img.shields.io/badge/arXiv-2401.05011-b31b1b.svg)](https://arxiv.org/abs/2401.05011) | | | 6905 | Removing Interference and Recovering Content Imaginatively for Visible | | [![arXiv](https://img.shields.io/badge/arXiv-2312.14383-b31b1b.svg)](https://arxiv.org/abs/2312.14383) | | | 1287 | Label-Efficient Few-Shot Semantic Segmentation with Unsupervised Meta- | | [![arXiv](https://img.shields.io/badge/arXiv-2310.07379-b31b1b.svg)](https://arxiv.org/abs/2310.07379) | | | 5818 | GINN-LP: A Growing Interpretable Neural Network for Discovering Multivariate | | | | | 9486 | SMILEtrack: SiMIlarity LEarning for Occlusion-Aware Multiple Object Tracking Wang | | | | | 4714 | FedCSL: A Scalable and Accurate Approach to Federated Causal Structure | | | | | 7247 | Constraint Latent Space Matters: An Anti-anomalous Waveform Transformation | | [![arXiv](https://img.shields.io/badge/arXiv-2212.05294-b31b1b.svg)](https://arxiv.org/abs/2212.05294) | | | 7047 | Barely Supervised Learning for Graph-Based Fraud Detection | | [![arXiv](https://img.shields.io/badge/arXiv-2009.08313-b31b1b.svg)](https://arxiv.org/abs/2009.08313) | | | 5717 | UCMCTrack: Multi-Object Tracking with Uniform Camera Motion Compensation | | | | | 13312 | AdapEdit: Spatio-Temporal Guided Adaptive Editing Algorithm for Text-Based | | | | | 12837 | How to Evaluate Behavioral Models | | [![arXiv](https://img.shields.io/badge/arXiv-2007.12298-b31b1b.svg)](https://arxiv.org/abs/2007.12298) | | | 6252 | OctOcc: High-Resolution 3D Occupancy Prediction with Octree | | | | | 530 | Recasting Regional Lighting for Shadow Removal | | [![arXiv](https://img.shields.io/badge/arXiv-2402.00341-b31b1b.svg)](https://arxiv.org/abs/2402.00341) | | | 10621 | Multiagent Gumbel MuZero: Efficient Planning in Combinatorial Action Spaces | | [![arXiv](https://img.shields.io/badge/arXiv-2312.07368-b31b1b.svg)](https://arxiv.org/abs/2312.07368) | | | 10606 | LINGO-Space: Language-Conditioned Incremental Grounding for Space | | | | | 8874 | ROG_PL: Robust Open-Set Graph Learning via Region-Based Prototype | | | | | 5526 | RadarMOSEVE: A Spatial-Temporal Transformer Network for Radar-Only | | | | | 1890 | A Dual Stealthy Backdoor: From Both Spatial and Frequency Perspectives | | [![arXiv](https://img.shields.io/badge/arXiv-2307.10184-b31b1b.svg)](https://arxiv.org/abs/2307.10184) | | | 9962 | Towards Model Extraction Attacks in GAN-Based Image Translation via Domain | | [![arXiv](https://img.shields.io/badge/arXiv-2104.12623-b31b1b.svg)](https://arxiv.org/abs/2104.12623) | | | 3376 | Any-Size-Diffusion: Toward Efficient Text-Driven Synthesis for Any-Size HD | | | | | 3320 | Dual-Level Curriculum Meta-Learning for Noisy Few-Shot Learning Tasks | | [![arXiv](https://img.shields.io/badge/arXiv-2102.09666-b31b1b.svg)](https://arxiv.org/abs/2102.09666) | | | 11307 | Hierarchical Aligned Multimodal Learning for NER on Tweet Posts | | [![arXiv](https://img.shields.io/badge/arXiv-2305.08372-b31b1b.svg)](https://arxiv.org/abs/2305.08372) | | | 6502 | No Prejudice! Fair Federated Graph Neural Networks for Personalized | | [![arXiv](https://img.shields.io/badge/arXiv-2208.09375-b31b1b.svg)](https://arxiv.org/abs/2208.09375) | | | 13622 | TimesURL: Self-Supervised Contrastive Learning for Universal Time Series | | | | | 7000 | A Theory of Non-acyclic Generative Flow Networks | | [![arXiv](https://img.shields.io/badge/arXiv-1702.02730-b31b1b.svg)](https://arxiv.org/abs/1702.02730) | | | 4225 | Shadow Generation with Decomposed Mask Prediction and Attentive Shadow | | [![arXiv](https://img.shields.io/badge/arXiv-2306.17358-b31b1b.svg)](https://arxiv.org/abs/2306.17358) | | | 9606 | CLIM: Contrastive Language-Image Mosaic for Region Representation | | | | | 1901 | Existence Is Chaos: Enhancing 3D Human Motion Prediction with Uncertainty | | [![arXiv](https://img.shields.io/badge/arXiv-2309.10369-b31b1b.svg)](https://arxiv.org/abs/2309.10369) | | | 2862 | Identification for Tree-Shaped Structural Causal Models in Polynomial Time | | [![arXiv](https://img.shields.io/badge/arXiv-2307.07973-b31b1b.svg)](https://arxiv.org/abs/2307.07973) | | | 7159 | An Approximate Skolem Function Counter | | [![arXiv](https://img.shields.io/badge/arXiv-2312.12026-b31b1b.svg)](https://arxiv.org/abs/2312.12026) | | | 6495 | Uni-MIS: United Multiple Intent Spoken Language Understanding via Multi-View | | | | | 4791 | DHGCN: Dynamic Hop Graph Convolution Network for Self-Supervised Point | | | | | 11061 | Gaussian Process Neural Additive Models | | [![arXiv](https://img.shields.io/badge/arXiv-2309.07716-b31b1b.svg)](https://arxiv.org/abs/2309.07716) | | | 13608 | Neural Causal Abstractions | | [![arXiv](https://img.shields.io/badge/arXiv-2301.04709-b31b1b.svg)](https://arxiv.org/abs/2301.04709) | | | 7124 | ICAR: Image-Based Complementary Auto Reasoning | | | | | 12345 | Synergistic Multiscale Detail Refinement via Intrinsic Supervision for Underwater | | [![arXiv](https://img.shields.io/badge/arXiv-2308.11932-b31b1b.svg)](https://arxiv.org/abs/2308.11932) | | | 7231 | Colored Noise in PPO: Improved Exploration and Performance through | | [![arXiv](https://img.shields.io/badge/arXiv-2312.11091-b31b1b.svg)](https://arxiv.org/abs/2312.11091) | | | 13592 | Data Augmented Graph Neural Networks for Personality Detection | | [![arXiv](https://img.shields.io/badge/arXiv-1608.08526-b31b1b.svg)](https://arxiv.org/abs/1608.08526) | | | 2620 | Generative Calibration of Inaccurate Annotation for Label Distribution Learning | | [![arXiv](https://img.shields.io/badge/arXiv-2302.13000-b31b1b.svg)](https://arxiv.org/abs/2302.13000) | | | 7346 | Enhancing Ensemble Clustering with Adaptive High-Order Topological Weights | | [![arXiv](https://img.shields.io/badge/arXiv-2105.07610-b31b1b.svg)](https://arxiv.org/abs/2105.07610) | | | 7190 | DistilVPR: Cross-Modal Knowledge Distillation for Visual Place Recognition | | | | | 2480 | Decoupled Optimisation for Long-Tailed Visual Recognition | | [![arXiv](https://img.shields.io/badge/arXiv-2106.12212-b31b1b.svg)](https://arxiv.org/abs/2106.12212) | | | 4566 | NodeMixup: Tackling Under-Reaching for Graph Neural Networks | | | | | 475 | A Transfer Approach Using Graph Neural Networks in Deep Reinforcement | | [![arXiv](https://img.shields.io/badge/arXiv-2201.09859-b31b1b.svg)](https://arxiv.org/abs/2201.09859) | | | 10695 | Recall-Oriented Continual Learning with Generative Adversarial Meta-Model | | [![arXiv](https://img.shields.io/badge/arXiv-2306.07544-b31b1b.svg)](https://arxiv.org/abs/2306.07544) | | | 9960 | An Effective Polynomial Technique for Compiling Conditional Effects Away Alfonso | | [![arXiv](https://img.shields.io/badge/arXiv-1106.0247-b31b1b.svg)](https://arxiv.org/abs/1106.0247) | | | 501 | Multi-View People Detection in Large Scenes via Supervised View-Wise | | [![arXiv](https://img.shields.io/badge/arXiv-2103.05920-b31b1b.svg)](https://arxiv.org/abs/2103.05920) | | | 1205 | Decoding Global Preferences: Temporal and Cooperative Dependency Modeling | | [![arXiv](https://img.shields.io/badge/arXiv-1605.02651-b31b1b.svg)](https://arxiv.org/abs/1605.02651) | | | 9350 | LLM vs Small Model? Large Language Model Based Text Augmentation | | [![arXiv](https://img.shields.io/badge/arXiv-2102.06815-b31b1b.svg)](https://arxiv.org/abs/2102.06815) | | | 7625 | Hybrid-SORT: Weak Cues Matter for Online Multi-Object Tracking | | | | | 4227 | SpectralNeRF: Physically Based Spectral Rendering with Neural Radiance Field | | | | | 11699 | SimPSI: A Simple Strategy to Preserve Spectral Information in Time Series Data | | | | | 7353 | DAG-Aware Variational Autoencoder for Social Propagation Graph Generation | | [![arXiv](https://img.shields.io/badge/arXiv-1902.08813-b31b1b.svg)](https://arxiv.org/abs/1902.08813) | | | 12189 | Fairness without Demographics through Shared Latent Space-Based Debiasing | | [![arXiv](https://img.shields.io/badge/arXiv-2305.12178-b31b1b.svg)](https://arxiv.org/abs/2305.12178) | | | 2109 | Disentangled Partial Label Learning | | [![arXiv](https://img.shields.io/badge/arXiv-2005.05407-b31b1b.svg)](https://arxiv.org/abs/2005.05407) | | | 8568 | InterpretARA: Enhancing Hybrid Automatic Readability Assessment with | | | | | 3058 | Keep the Faith: Faithful Explanations in Convolutional Neural Networks for Case- | | [![arXiv](https://img.shields.io/badge/arXiv-2211.15143-b31b1b.svg)](https://arxiv.org/abs/2211.15143) | | | 11104 | Learning Multi-Modal Cross-Scale Deformable Transformer Network for | | [![arXiv](https://img.shields.io/badge/arXiv-2005.12661-b31b1b.svg)](https://arxiv.org/abs/2005.12661) | | | 13249 | Generative Multi-Modal Knowledge Retrieval with Large Language Models | | [![arXiv](https://img.shields.io/badge/arXiv-2305.15294-b31b1b.svg)](https://arxiv.org/abs/2305.15294) | | | 7785 | ScanERU: Interactive 3D Visual Grounding Based on Embodied Reference | | | | | 6707 | ProxyDet: Synthesizing Proxy Novel Classes via Classwise Mixup for Open- | | | | | 10775 | Model-Driven Deep Neural Network for Enhanced AoA Estimation Using 5G gNB | | [![arXiv](https://img.shields.io/badge/arXiv-2007.16073-b31b1b.svg)](https://arxiv.org/abs/2007.16073) | | | 10759 | AUC Optimization from Multiple Unlabeled Datasets | | [![arXiv](https://img.shields.io/badge/arXiv-2305.15776-b31b1b.svg)](https://arxiv.org/abs/2305.15776) | | | 10770 | Attacking Transformers with Feature Diversity Adversarial Perturbation | | [![arXiv](https://img.shields.io/badge/arXiv-2208.08697-b31b1b.svg)](https://arxiv.org/abs/2208.08697) | | | 5495 | High-Quality Real-Time Rendering Using Subpixel Sampling Reconstruction | | [![arXiv](https://img.shields.io/badge/arXiv-2301.01036-b31b1b.svg)](https://arxiv.org/abs/2301.01036) | | | 6610 | Invariant Random Forest: Tree-Based Model Solution for OOD Generalization | | [![arXiv](https://img.shields.io/badge/arXiv-2310.08040-b31b1b.svg)](https://arxiv.org/abs/2310.08040) | | | 8482 | Exploring Transformer Extrapolation | | [![arXiv](https://img.shields.io/badge/arXiv-0704.1537-b31b1b.svg)](https://arxiv.org/abs/0704.1537) | | | 6626 | TiMix: Text-Aware Image Mixing for Effective Vision-Language Pre-training | | | | | 1138 | FACL-Attack: Frequency-Aware Contrastive Learning for Transferable | | | | | 8810 | Entropic Open-Set Active Learning | | [![arXiv](https://img.shields.io/badge/arXiv-2312.13993-b31b1b.svg)](https://arxiv.org/abs/2312.13993) | | | 8751 | Response Enhanced Semi-supervised Dialogue Query Generation | | [![arXiv](https://img.shields.io/badge/arXiv-2312.12713-b31b1b.svg)](https://arxiv.org/abs/2312.12713) | | | 11241 | READ-PVLA: Recurrent Adapter with Partial Video-Language Alignment for | | | | | 1088 | Deep Homography Estimation for Visual Place Recognition | | [![arXiv](https://img.shields.io/badge/arXiv-1906.02539-b31b1b.svg)](https://arxiv.org/abs/1906.02539) | | | 11835 | Stop! Planner Time: Metareasoning for Probabilistic Planning Using Learned | | [![arXiv](https://img.shields.io/badge/arXiv-1507.03727-b31b1b.svg)](https://arxiv.org/abs/1507.03727) | | | 6766 | Optimizing Local Satisfaction of Long-Run Average Objectives in Markov | | [![arXiv](https://img.shields.io/badge/arXiv-2312.12325-b31b1b.svg)](https://arxiv.org/abs/2312.12325) | | | 5109 | Winnie: Task-Oriented Dialog System with Structure-Aware Contrastive Learning | | | | | 12672 | Unifying Multi-Modal Uncertainty Modeling and Semantic Alignment for Text-to- | | [![arXiv](https://img.shields.io/badge/arXiv-2211.01999-b31b1b.svg)](https://arxiv.org/abs/2211.01999) | | | 7015 | Dual-Prior Augmented Decoding Network for Long Tail Distribution in HOI | | [![arXiv](https://img.shields.io/badge/arXiv-2203.13954-b31b1b.svg)](https://arxiv.org/abs/2203.13954) | | | 10260 | Small Language Model Can Self-Correct | | [![arXiv](https://img.shields.io/badge/arXiv-2310.18862-b31b1b.svg)](https://arxiv.org/abs/2310.18862) | | | 9701 | GSO-Net: Grid Surface Optimization via Learning Geometric Constraints | | | | | 12412 | No Internal Regret with Non-convex Loss Functions Dravyansh SharmaMain Track 4567 DanceAnyWay: Synthesizing Beat-Guided 3D Dances with Randomized | | [![arXiv](https://img.shields.io/badge/arXiv-2108.08770-b31b1b.svg)](https://arxiv.org/abs/2108.08770) | | | 7975 | Prot2Text: Multimodal Protein’s Function Generation with GNNs and | | | | | 7633 | A Hierarchical Network for Multimodal Document-Level Relation Extraction | | [![arXiv](https://img.shields.io/badge/arXiv-2205.03521-b31b1b.svg)](https://arxiv.org/abs/2205.03521) | | | 13415 | M2Doc: A Multi-Modal Fusion Approach for Document Layout Analysis | | | | | 7822 | Low-Light Face Super-resolution via Illumination, Structure, and Texture | | [![arXiv](https://img.shields.io/badge/arXiv-1905.03904-b31b1b.svg)](https://arxiv.org/abs/1905.03904) | | | 4450 | EPSD: Early Pruning with Self-Distillation for Efficient Model Compression | | | | | 10772 | Protect Your Score: Contact-Tracing with Differential Privacy Guarantees | | [![arXiv](https://img.shields.io/badge/arXiv-2309.06068-b31b1b.svg)](https://arxiv.org/abs/2309.06068) | | | 13815 | Improved Anonymous Multi-Agent Path Finding Algorithm Zain | | [![arXiv](https://img.shields.io/badge/arXiv-2312.10572-b31b1b.svg)](https://arxiv.org/abs/2312.10572) | | | 7306 | Generative-Based Fusion Mechanism for Multi-Modal Tracking | | [![arXiv](https://img.shields.io/badge/arXiv-2311.01886-b31b1b.svg)](https://arxiv.org/abs/2311.01886) | | | 3789 | Towards Epistemic-Doxastic Planning with Observation and Revision | | [![arXiv](https://img.shields.io/badge/arXiv-1511.05662-b31b1b.svg)](https://arxiv.org/abs/1511.05662) | | | 5267 | Frequency Shuffling and Enhancement for Open Set Recognition | | [![arXiv](https://img.shields.io/badge/arXiv-1705.03638-b31b1b.svg)](https://arxiv.org/abs/1705.03638) | | | 5435 | NestE: Modeling Nested Relational Structures for Knowledge Graph Reasoning | | | | | 196 | GMMFormer: Gaussian-Mixture-Model Based Transformer for Efficient Partially | | | | | 8200 | One Self-Configurable Model to Solve Many Abstract Visual Reasoning | | [![arXiv](https://img.shields.io/badge/arXiv-2302.07137-b31b1b.svg)](https://arxiv.org/abs/2302.07137) | | | 1722 | From Past to Future: Rethinking Eligibility Traces | | [![arXiv](https://img.shields.io/badge/arXiv-2008.10040-b31b1b.svg)](https://arxiv.org/abs/2008.10040) | | | 8893 | A Diffusion Model with State Estimation for Degradation-Blind Inverse Imaging | | [![arXiv](https://img.shields.io/badge/arXiv-2309.00287-b31b1b.svg)](https://arxiv.org/abs/2309.00287) | | | 5360 | ConSequence: Synthesizing Logically Constrained Sequences for Electronic | | | | | 11817 | Temporal-Distributed Backdoor Attack against Video Based Action Recognition | | [![arXiv](https://img.shields.io/badge/arXiv-2308.11070-b31b1b.svg)](https://arxiv.org/abs/2308.11070) | | | 10959 | Self-Supervised 3D Human Mesh Recovery from a Single Image with | | [![arXiv](https://img.shields.io/badge/arXiv-2203.13349-b31b1b.svg)](https://arxiv.org/abs/2203.13349) | | | 3271 | Spatial Voting with Incomplete Voter Information | | [![arXiv](https://img.shields.io/badge/arXiv-2103.14847-b31b1b.svg)](https://arxiv.org/abs/2103.14847) | | | 12722 | SEC: More Accurate Clustering Algorithm via Structural Entropy | | | | | 3577 | Descanning: From Scanned to the Original Images with a Color Correction | | | | | 7615 | SparseGNV: Generating Novel Views of Indoor Scenes with Sparse RGB-D | | | | | 4957 | Scale Optimization Using Evolutionary Reinforcement Learning for Object | | [![arXiv](https://img.shields.io/badge/arXiv-1906.07315-b31b1b.svg)](https://arxiv.org/abs/1906.07315) | | | 3095 | Distributed Manifold Hashing for Image Set Classification and Retrieval | | [![arXiv](https://img.shields.io/badge/arXiv-1901.02662-b31b1b.svg)](https://arxiv.org/abs/1901.02662) | | | 6529 | Collaborative Tooth Motion Diffusion Model in Digital Orthodontics | | [![arXiv](https://img.shields.io/badge/arXiv-2310.11106-b31b1b.svg)](https://arxiv.org/abs/2310.11106) | | | 8275 | An Information-Flow Perspective on Algorithmic Fairness | | [![arXiv](https://img.shields.io/badge/arXiv-2104.09024-b31b1b.svg)](https://arxiv.org/abs/2104.09024) | | | 8014 | Robustly Train Normalizing Flows via KL Divergence Regularization | | [![arXiv](https://img.shields.io/badge/arXiv-2311.00894-b31b1b.svg)](https://arxiv.org/abs/2311.00894) | | | 170 | CAR-Transformer: Cross-Attention Reinforcement Transformer for Cross-Lingual | | | | | 13888 | Simple Image-Level Classification Improves Open-Vocabulary Object Detection | | [![arXiv](https://img.shields.io/badge/arXiv-1610.06907-b31b1b.svg)](https://arxiv.org/abs/1610.06907) | | | 13926 | CoVR: Learning Composed Video Retrieval from Web Video Captions | | | | | 14137 | Double-Descent Curves in Neural Networks: A New Perspective Using Gaussian | | [![arXiv](https://img.shields.io/badge/arXiv-2102.07238-b31b1b.svg)](https://arxiv.org/abs/2102.07238) | | | 14114 | Unknown-Aware Graph Regularization for Robust Semi-supervised Learning | | [![arXiv](https://img.shields.io/badge/arXiv-2006.13009-b31b1b.svg)](https://arxiv.org/abs/2006.13009) | | | 14034 | Building Minimal and Reusable Causal State Abstractions for Reinforcement | | [![arXiv](https://img.shields.io/badge/arXiv-2401.12497-b31b1b.svg)](https://arxiv.org/abs/2401.12497) | | | 13864 | Learning Encodings for Constructive Neural Combinatorial Optimization Needs | | [![arXiv](https://img.shields.io/badge/arXiv-2102.07210-b31b1b.svg)](https://arxiv.org/abs/2102.07210) | | | 14190 | DeRDaVa: Deletion-Robust Data Valuation for Machine Learning | | | | | 13931 | Federated Partial Label Learning with Local-Adaptive Augmentation and | | [![arXiv](https://img.shields.io/badge/arXiv-2212.08997-b31b1b.svg)](https://arxiv.org/abs/2212.08997) | | | 13865 | CGMGM: A Cross-Gaussian Mixture Generative Model for Few-Shot Semantic | | | | | 14075 | NavGPT: Explicit Reasoning in Vision-and-Language Navigation with Large | | | | | 13915 | Efficient Constrained K-center Clustering with Background Knowledge | | [![arXiv](https://img.shields.io/badge/arXiv-1604.03228-b31b1b.svg)](https://arxiv.org/abs/1604.03228) | | | 13924 | Taming the Sigmoid Bottleneck: Provably Argmaxable Sparse Multi-Label | | [![arXiv](https://img.shields.io/badge/arXiv-2310.10443-b31b1b.svg)](https://arxiv.org/abs/2310.10443) | | | 14090 | Ternary Spike: Learning Ternary Spikes for Spiking Neural Networks | | [![arXiv](https://img.shields.io/badge/arXiv-2312.06372-b31b1b.svg)](https://arxiv.org/abs/2312.06372) | | | 13894 | Privacy Amplification by Iteration for ADMM with (Strongly) Convex Objective | | [![arXiv](https://img.shields.io/badge/arXiv-2312.08685-b31b1b.svg)](https://arxiv.org/abs/2312.08685) | | | 14063 | CGS-Mask: Making Time Series Predictions Intuitive for All | | | | | 14062 | Text Diffusion with Reinforced Conditioning | | [![arXiv](https://img.shields.io/badge/arXiv-2402.09202-b31b1b.svg)](https://arxiv.org/abs/2402.09202) | | | 13893 | Doubly Perturbed Task Free Continual Learning Byung | | [![arXiv](https://img.shields.io/badge/arXiv-2312.13027-b31b1b.svg)](https://arxiv.org/abs/2312.13027) | | | 13934 | Fine-Tuning Graph Neural Networks by Preserving Graph Generative Patterns | | [![arXiv](https://img.shields.io/badge/arXiv-2105.11016-b31b1b.svg)](https://arxiv.org/abs/2105.11016) | | | 14005 | PAC-Bayes Generalisation Bounds for Dynamical Systems including Stable | | [![arXiv](https://img.shields.io/badge/arXiv-2312.09793-b31b1b.svg)](https://arxiv.org/abs/2312.09793) | | | 13968 | Detection and Defense of Unlearnable Examples | | [![arXiv](https://img.shields.io/badge/arXiv-2312.08898-b31b1b.svg)](https://arxiv.org/abs/2312.08898) | | | 13994 | Decentralized Scheduling with QoS Constraints: Achieving O(1) QoS Regret of | | [![arXiv](https://img.shields.io/badge/arXiv-1703.10669-b31b1b.svg)](https://arxiv.org/abs/1703.10669) | | | 13860 | Hierarchical Multi-Marginal Optimal Transport for Network Alignment | | [![arXiv](https://img.shields.io/badge/arXiv-2310.04470-b31b1b.svg)](https://arxiv.org/abs/2310.04470) | | | 13995 | Unsupervised Layer-Wise Score Aggregation for Textual OOD Detection | | [![arXiv](https://img.shields.io/badge/arXiv-2302.09852-b31b1b.svg)](https://arxiv.org/abs/2302.09852) | | | 14163 | Semi-supervised Learning of Dynamical Systems with Neural Ordinary | | [![arXiv](https://img.shields.io/badge/arXiv-2206.14288-b31b1b.svg)](https://arxiv.org/abs/2206.14288) | | | 14045 | A Plug-and-Play Quaternion Message-Passing Module for Molecular | | [![arXiv](https://img.shields.io/badge/arXiv-2304.13542-b31b1b.svg)](https://arxiv.org/abs/2304.13542) | | | 14085 | 3D Visibility-Aware Generalizable Neural Radiance Fields for Interacting Hands | | [![arXiv](https://img.shields.io/badge/arXiv-2401.00979-b31b1b.svg)](https://arxiv.org/abs/2401.00979) | | | 14134 | Exploring Post-training Quantization in LLMs from Comprehensive Study to Low | | [![arXiv](https://img.shields.io/badge/arXiv-2303.08302-b31b1b.svg)](https://arxiv.org/abs/2303.08302) | | | 14207 | New Classes of the Greedy-Applicable Arm Feature Distributions in the Sparse | | [![arXiv](https://img.shields.io/badge/arXiv-2312.12400-b31b1b.svg)](https://arxiv.org/abs/2312.12400) | | | 14212 | Convolutional Channel-Wise Competitive Learning for the Forward-Forward | | [![arXiv](https://img.shields.io/badge/arXiv-1001.0927-b31b1b.svg)](https://arxiv.org/abs/1001.0927) | | | 14002 | CcDPM: A Continuous Conditional Diffusion Probabilistic Model for Inverse | | | | | 13901 | Deep Quantum Error Correction | | | | | 14065 | Compositional Text-to-Image Synthesis with Attention Map Control of Diffusion | | [![arXiv](https://img.shields.io/badge/arXiv-2308.06027-b31b1b.svg)](https://arxiv.org/abs/2308.06027) | | | 14041 | Universal Weak Coreset | | [![arXiv](https://img.shields.io/badge/arXiv-2312.09885-b31b1b.svg)](https://arxiv.org/abs/2312.09885) | | | 13966 | DePRL: Achieving Linear Convergence Speedup in Personalized Decentralized | | | | | 14042 | RetroOOD: Understanding Out-of-Distribution Generalization in Retrosynthesis | | | | | 14033 | Robust Visual Imitation Learning with Inverse Dynamics Representations | | [![arXiv](https://img.shields.io/badge/arXiv-2103.09016-b31b1b.svg)](https://arxiv.org/abs/2103.09016) | | | 14159 | Offline Model-Based Optimization via Policy-Guided Gradient Search | | [![arXiv](https://img.shields.io/badge/arXiv-2209.03282-b31b1b.svg)](https://arxiv.org/abs/2209.03282) | | | 14074 | Generator Assisted Mixture of Experts for Feature Acquisition in Batch | | [![arXiv](https://img.shields.io/badge/arXiv-2312.12574-b31b1b.svg)](https://arxiv.org/abs/2312.12574) | | ================================================ FILE: sections/2024/main/1_200.md ================================================ # AAAI-2024-Papers
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## 1-200 papers ![Section Papers](https://img.shields.io/badge/Section%20Papers-200-42BA16) ![Preprint Papers](https://img.shields.io/badge/Preprint%20Papers-126-b31b1b) ![Papers with Open Code](https://img.shields.io/badge/Papers%20with%20Open%20Code-85-1D7FBF) ![Papers with Video](https://img.shields.io/badge/Papers%20with%20Video-4-FF0000) | :id: | **Title** | **Repo** | **Paper** | **Video** | |------|-----------|:--------:|:---------:|:---------:| | 716 | Attention Disturbance and Dual-Path Constraint Network for Occluded Person Re-Identification | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2303.10976-b31b1b.svg)](https://arxiv.org/abs/2303.10976) | :heavy_minus_sign: | | 1318 | Zero-Shot Task Adaptation with Relevant Feature Information | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 792 | DTL: Disentangled Transfer Learning for Visual Recognition | [![GitHub](https://img.shields.io/github/stars/heekhero/DTL?style=flat)](https://github.com/heekhero/DTL) | [![arXiv](https://img.shields.io/badge/arXiv-2312.07856-b31b1b.svg)](https://arxiv.org/abs/2312.07856) | :heavy_minus_sign: | | 1042 | ODTrack: Online Dense Temporal Token Learning for Visual Tracking | [![GitHub](https://img.shields.io/github/stars/GXNU-ZhongLab/ODTrack?style=flat)](https://github.com/GXNU-ZhongLab/ODTrack) | [![arXiv](https://img.shields.io/badge/arXiv-2401.01686-b31b1b.svg)](https://arxiv.org/abs/2401.01686) | :heavy_minus_sign: | | 2420 | MM-Point: Multi-View Information-Enhanced Multi-Modal Self-Supervised 3D Point Cloud Understanding | [![GitHub](https://img.shields.io/github/stars/HaydenYu/MM-Point?style=flat)](https://github.com/HaydenYu/MM-Point) | [![arXiv](https://img.shields.io/badge/arXiv-2402.10002-b31b1b.svg)](https://arxiv.org/abs/2402.10002) | :heavy_minus_sign: | | 2479 | Defying Imbalanced Forgetting in Class Incremental Learning | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 825 | Towards Efficient and Effective Text-to-Video Retrieval with Coarse-to-Fine Visual Representation Learning | [![GitHub](https://img.shields.io/github/stars/adxcreative/EERCF?style=flat)](https://github.com/adxcreative/EERCF) | [![arXiv](https://img.shields.io/badge/arXiv-2401.00701-b31b1b.svg)](https://arxiv.org/abs/2401.00701) | :heavy_minus_sign: | | 2663 | Generative Model-based Feature Knowledge Distillation for Action Recognition | [![GitHub](https://img.shields.io/github/stars/aaai-24/Generative-based-KD?style=flat)](https://github.com/aaai-24/Generative-based-KD) | [![arXiv](https://img.shields.io/badge/arXiv-2312.08644-b31b1b.svg)](https://arxiv.org/abs/2312.08644) | :heavy_minus_sign: | | 2186 | Robust 3D Tracking with Quality-Aware Shape Completion | [![GitHub](https://img.shields.io/github/stars/zjwhit/SCVTrack?style=flat)](https://github.com/zjwhit/SCVTrack) | [![arXiv](https://img.shields.io/badge/arXiv-2312.10608-b31b1b.svg)](https://arxiv.org/abs/2312.10608) | :heavy_minus_sign: | | 3289 | CFR-ICL: Cascade-Forward Refinement with Iterative Click Loss for Interactive Image Segmentation | [![GitHub](https://img.shields.io/github/stars/TitorX/CFR-ICL-Interactive-Segmentation?style=flat)](https://github.com/TitorX/CFR-ICL-Interactive-Segmentation) | [![arXiv](https://img.shields.io/badge/arXiv-2303.05620-b31b1b.svg)](https://arxiv.org/abs/2303.05620) | :heavy_minus_sign: | | 355 | AE-NeRF: Audio Enhanced Neural Radiance Field for Few Shot Talking Head Synthesis | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.10921-b31b1b.svg)](https://arxiv.org/abs/2312.10921) | :heavy_minus_sign: | | 714 | DI-V2X: Learning Domain-Invariant Representation for Vehicle-Infrastructure Collaborative 3D Object Detection | [![GitHub](https://img.shields.io/github/stars/Serenos/DI-V2X?style=flat)](https://github.com/Serenos/DI-V2X) | [![arXiv](https://img.shields.io/badge/arXiv-2312.15742-b31b1b.svg)](https://arxiv.org/abs/2312.15742) | :heavy_minus_sign: | | 499 | Leveraging Imagery Data with Spatial Point Prior for Weakly Semi-Supervised 3D Object Detection | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 890 | XKD: Cross-Modal Knowledge Distillation with Domain Alignment for Video Representation Learning | [![WEB Page](https://img.shields.io/badge/WEB-Page-159957.svg)](https://pritamsarkar.com/XKD/)
[![GitHub](https://img.shields.io/github/stars/pritamqu/XKD?style=flat)](https://github.com/pritamqu/XKD) | [![arXiv](https://img.shields.io/badge/arXiv-2211.13929-b31b1b.svg)](https://arxiv.org/abs/2211.13929) | :heavy_minus_sign: | | 1768 | DiffusionEdge: Diffusion Probabilistic Model for Crisp Edge Detection | [![GitHub](https://img.shields.io/github/stars/GuHuangAI/DiffusionEdge?style=flat)](https://github.com/GuHuangAI/DiffusionEdge) | [![arXiv](https://img.shields.io/badge/arXiv-2401.02032-b31b1b.svg)](https://arxiv.org/abs/2401.02032) | :heavy_minus_sign: | | 3057 | Kernelized Normalizing Constant Estimation: Bridging Bayesian Quadrature and Bayesian Optimization | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2401.05716-b31b1b.svg)](https://arxiv.org/abs/2401.05716) | :heavy_minus_sign: | | 375 | Aleth-NeRF: Illumination Adaptive NeRF with Concealing Field Assumption | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://cuiziteng.github.io/Aleth_NeRF_web/)
[![GitHub](https://img.shields.io/github/stars/cuiziteng/Aleth-NeRF?style=flat)](https://github.com/cuiziteng/Aleth-NeRF) | [![arXiv](https://img.shields.io/badge/arXiv-2312.09093-b31b1b.svg)](https://arxiv.org/abs/2312.09093) | :heavy_minus_sign: | | 533 | HDMixer: Hierarchical Dependency with Extendable Patch for Multivariate Time Series Forecasting | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 604 | Cross-Covariate Gait Recognition: A Benchmark | [![GitHub](https://img.shields.io/github/stars/ShinanZou/CCGR?style=flat)](https://github.com/ShinanZou/CCGR) | [![arXiv](https://img.shields.io/badge/arXiv-2312.14404-b31b1b.svg)](https://arxiv.org/abs/2312.14404) | :heavy_minus_sign: | | 620 | Let All Be Whitened: Multi-Teacher Distillation for Efficient Visual Retrieval | [![GitHub](https://img.shields.io/github/stars/Maryeon/whiten_mtd?style=flat)](https://github.com/Maryeon/whiten_mtd) | [![arXiv](https://img.shields.io/badge/arXiv-2312.09716-b31b1b.svg)](https://arxiv.org/abs/2312.09716) | :heavy_minus_sign: | | 1539 | Identifiability of Direct Effects from Summary Causal Graphs | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2306.16958-b31b1b.svg)](https://arxiv.org/abs/2306.16958) | :heavy_minus_sign: | | 794 | NuScenes-QA: A Multi-Modal Visual Question Answering Benchmark for Autonomous Driving Scenario | [![GitHub](https://img.shields.io/github/stars/qiantianwen/NuScenes-QA?style=flat)](https://github.com/qiantianwen/NuScenes-QA) | [![arXiv](https://img.shields.io/badge/arXiv-2305.14836-b31b1b.svg)](https://arxiv.org/abs/2305.14836) | :heavy_minus_sign: | | 1340 | CARAT: Contrastive Feature Reconstruction and Aggregation for Multi-Modal Multi-Label Emotion Recognition | [![GitHub](https://img.shields.io/github/stars/chengzju/CARAT?style=flat)](https://github.com/chengzju/CARAT) | [![arXiv](https://img.shields.io/badge/arXiv-2312.10201-b31b1b.svg)](https://arxiv.org/abs/2312.10201) | :heavy_minus_sign: | | 867 | ViSTec: Video Modeling for Sports Technique Recognition and Tactical Analysis | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 975 | PromptMRG: Diagnosis-Driven Prompts for Medical Report Generation | [![GitHub](https://img.shields.io/github/stars/jhb86253817/PromptMRG?style=flat)](https://github.com/jhb86253817/PromptMRG) | [![arXiv](https://img.shields.io/badge/arXiv-2308.12604-b31b1b.svg)](https://arxiv.org/abs/2308.12604) | :heavy_minus_sign: | | 234 | EMGAN: Early-Mix-GAN on Extracting Server-Side Model in Split Federated Learning | [![GitHub](https://img.shields.io/github/stars/zlijingtao/SFL-MEA?style=flat)](https://github.com/zlijingtao/SFL-MEA) | :heavy_minus_sign: | :heavy_minus_sign: | | 1288 | FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning | [![GitHub](https://img.shields.io/github/stars/HaokunChen245/FedDAT?style=flat)](https://github.com/HaokunChen245/FedDAT) | [![arXiv](https://img.shields.io/badge/arXiv-2308.12305-b31b1b.svg)](https://arxiv.org/abs/2308.12305) | :heavy_minus_sign: | | 909 | Auto-Prox: Training-Free Vision Transformer Architecture Search via Automatic Proxy Discovery | [![GitHub](https://img.shields.io/github/stars/lilujunai/Auto-Prox-AAAI24?style=flat)](https://github.com/lilujunai/Auto-Prox-AAAI24) | [![arXiv](https://img.shields.io/badge/arXiv-2312.09059-b31b1b.svg)](https://arxiv.org/abs/2312.09059) | :heavy_minus_sign: | | 1661 | Follow Your Pose: Pose-Guided Text-to-Video Generation using Pose-Free Videos | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://follow-your-pose.github.io/)
[![GitHub](https://img.shields.io/github/stars/mayuelala/FollowYourPose?style=flat)](https://github.com/mayuelala/FollowYourPose) | [![arXiv](https://img.shields.io/badge/arXiv-2304.01186-b31b1b.svg)](https://arxiv.org/abs/2304.01186) | :heavy_minus_sign: | | 610 | Style2Talker: High-Resolution Talking Head Generation with Emotion Style and Art Style | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 1487 | Colorizing Monochromatic Radiance Fields | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 832 | SAM-PARSER: Fine-Tuning SAM Efficiently by Parameter Space Reconstruction | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2308.14604-b31b1b.svg)](https://arxiv.org/abs/2308.14604) | :heavy_minus_sign: | | 2829 | Mimic: Speaking Style Disentanglement for Speech-Driven 3D Facial Animation | [![WEB Page](https://img.shields.io/badge/WEB-Page-159957.svg)](https://www.naptmn.cn/Mimic/)
[![GitHub](https://img.shields.io/github/stars/huifu99/Mimic?style=flat)](https://github.com/huifu99/Mimic) | [![arXiv](https://img.shields.io/badge/arXiv-2312.10877-b31b1b.svg)](https://arxiv.org/abs/2312.10877) | :heavy_minus_sign: | | 853 | Tuning-Free Inversion-Enhanced Control for Consistent Image Editing | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.14611-b31b1b.svg)](https://arxiv.org/abs/2312.14611) | :heavy_minus_sign: | | 1498 | Frequency-Adaptive Pan-Sharpening with Mixture of Experts | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2401.02151-b31b1b.svg)](https://arxiv.org/abs/2401.02151) | :heavy_minus_sign: | | 688 | Transformer-based Video-Structure Multi-Instance Learning for whole Slide Image Classification | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 86 | Attribute-Missing Graph Clustering Network | [![GitHub](https://img.shields.io/github/stars/WxTu/AMGC?style=flat)](https://github.com/WxTu/AMGC) | :heavy_minus_sign: | :heavy_minus_sign: | | 1030 | Explicit Visual Prompts for Visual Object Tracking | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2401.03142-b31b1b.svg)](https://arxiv.org/abs/2401.03142) | :heavy_minus_sign: | | 2837 | Task-Agnostic Privacy-Preserving Representation Learning for Federated Learning against Attribute Inference Attacks | [![GitHub](https://img.shields.io/github/stars/TAPPFL/TAPPFL?style=flat)](https://github.com/TAPPFL/TAPPFL) | [![arXiv](https://img.shields.io/badge/arXiv-2312.06989-b31b1b.svg)](https://arxiv.org/abs/2312.06989) | :heavy_minus_sign: | | 4242 | LERE: Learning-based Low-Rank Matrix Recovery with Rank Estimation | [![GitHub](https://img.shields.io/github/stars/zhengqinxu/LERE?style=flat)](https://github.com/zhengqinxu/LERE) | :heavy_minus_sign: | :heavy_minus_sign: | | 184 | Adv-Diffusion: Imperceptible Adversarial Face Identity Attack via Latent Diffusion Model | [![GitHub](https://img.shields.io/github/stars/kopper-xdu/Adv-Diffusion?style=flat)](https://github.com/kopper-xdu/Adv-Diffusion) | [![arXiv](https://img.shields.io/badge/arXiv-2312.11285-b31b1b.svg)](https://arxiv.org/abs/2312.11285) | :heavy_minus_sign: | | 1323 | In-Hand 3D Object Reconstruction from a Monocular RGB Video | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://east-j.github.io/ihor/) | [![arXiv](https://img.shields.io/badge/arXiv-2312.16425-b31b1b.svg)](https://arxiv.org/abs/2312.16425) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=ebo5W0SVD4k) | | 540 | Preference Ranking Optimization for Human Alignment | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://github.com/AlibabaResearch/DAMO-ConvAI/tree/main/PRO) | [![arXiv](https://img.shields.io/badge/arXiv-2306.17492-b31b1b.svg)](https://arxiv.org/abs/2306.17492) | :heavy_minus_sign: | | 692 | Stability of Multi-Agent Learning in Competitive Networks: Delaying the Onset of Chaos | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.11943-b31b1b.svg)](https://arxiv.org/abs/2312.11943) | :heavy_minus_sign: | | 2823 | Peer Neighborhood Mechanisms: A Framework for Mechanism Generalization | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.12303-b31b1b.svg)](https://arxiv.org/abs/2312.12303) | :heavy_minus_sign: | | 4383 | Differentiable Auxiliary Learning for Sketch Re-Identification | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 199 | Disentangled Diffusion-based 3D Human Pose Estimation with Hierarchical Spatial and Temporal Denoiser | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 1436 | Rethinking Multi-Scale Representations in Deep Deraining Transformer | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 2130 | Hard Regularization to Prevent Deep Online Clustering Collapse without Data Augmentation | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2303.16521-b31b1b.svg)](https://arxiv.org/abs/2303.16521) | :heavy_minus_sign: | | 4069 | Sunshine to Rainstorm: Cross-Weather Knowledge Distillation for Robust 3D Object Detection | [![GitHub](https://img.shields.io/github/stars/ylwhxht/SRKD-DRET?style=flat)](https://github.com/ylwhxht/SRKD-DRET) | :heavy_minus_sign: | :heavy_minus_sign: | | 396 | UVAGaze: Unsupervised 1-to-2 Views Adaptation for Gaze Estimation | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.15644-b31b1b.svg)](https://arxiv.org/abs/2312.15644) | :heavy_minus_sign: | | 1934 | Aspect-based Sentiment Analysis with Explicit Sentiment Augmentations | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.10961-b31b1b.svg)](https://arxiv.org/abs/2312.10961) | :heavy_minus_sign: | | 1798 | Label Attentive Distillation for GNN-based Graph Classification | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 3887 | Using Symmetries to Lift Satisfiability Checking | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2311.03424-b31b1b.svg)](https://arxiv.org/abs/2311.03424) | :heavy_minus_sign: | | 464 | Panoptic Scene Graph Generation with Semantics-Prototype Learning | [![GitHub](https://img.shields.io/github/stars/lili0415/PSG-biased-annotation?style=flat)](https://github.com/lili0415/PSG-biased-annotation) | [![arXiv](https://img.shields.io/badge/arXiv-2307.15567-b31b1b.svg)](https://arxiv.org/abs/2307.15567) | :heavy_minus_sign: | | 1827 | CEDFlow: Latent Contour Enhancement for Dark Optical Flow Estimation | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 1448 | Latent Space Editing in Transformer-based Flow Matching Vincent | [![WEB Page](https://img.shields.io/badge/WEB-Page-159957.svg)](https://taohu.me/lfm/)
[![GitHub](https://img.shields.io/github/stars/dongzhuoyao/uspace?style=flat)](https://github.com/dongzhuoyao/uspace) | [![arXiv](https://img.shields.io/badge/arXiv-2312.10825-b31b1b.svg)](https://arxiv.org/abs/2312.10825) | :heavy_minus_sign: | | 2299 | Harnessing Holistic Discourse Features and Triadic Interaction for Sentiment Quadruple Extraction in Dialogues | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 720 | ChromaFusionNet (CFNet): Natural Fusion of Fine-Grained Color Editing | [![GitHub](https://img.shields.io/github/stars/NTUYWANG103/CFNet?style=flat)](https://github.com/NTUYWANG103/CFNet) | :heavy_minus_sign: | :heavy_minus_sign: | | 1171 | SPD-DDPM: Denoising Diffusion Probabilistic Models in the Symmetric Positive Definite Space | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.08200-b31b1b.svg)](https://arxiv.org/abs/2312.08200) | :heavy_minus_sign: | | 2704 | Few-Shot Neural Radiance Fields under Unconstrained Illumination | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://seokyeong94.github.io/ExtremeNeRF/) | [![arXiv](https://img.shields.io/badge/arXiv-2303.11728-b31b1b.svg)](https://arxiv.org/abs/2303.11728) | :heavy_minus_sign: | | 5079 | Exploring Gradient Explosion in Generative Adversarial Imitation Learning: A Probabilistic Perspective | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.11214-b31b1b.svg)](https://arxiv.org/abs/2312.11214) | :heavy_minus_sign: | | 255 | V2A-Mapper: A Lightweight Solution for Vision-to-Audio Generation by Connecting Foundation Models | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://v2a-mapper.github.io/)
[![GitHub](https://img.shields.io/github/stars/heng-hw/V2A-Mapper?style=flat)](https://github.com/heng-hw/V2A-Mapper) | [![arXiv](https://img.shields.io/badge/arXiv-2308.09300-b31b1b.svg)](https://arxiv.org/abs/2308.09300) | :heavy_minus_sign: | | 1592 | STDiff: Spatio-Temporal Diffusion for Continuous Stochastic Video Prediction | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://xiye20.github.io/STDiffProject/)
[![GitHub](https://img.shields.io/github/stars/XiYe20/STDiffProject?style=flat)](https://github.com/XiYe20/STDiffProject) | [![arXiv](https://img.shields.io/badge/arXiv-2312.06486-b31b1b.svg)](https://arxiv.org/abs/2312.06486) | :heavy_minus_sign: | | 4968 | Multi-Prompts Learning with Cross-Modal Alignment for Attribute-based Person Re-Identification | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.16797-b31b1b.svg)](https://arxiv.org/abs/2312.16797) | :heavy_minus_sign: | | 6665 | CDPNet: Cross-Modal Dual Phases Network for Point Cloud Completion | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 1954 | BVT-IMA: Binary Vision Transformer with Information-Modified Attention | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 5489 | Learning in Online Principal-Agent Interactions: The Power of Menus | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.09869-b31b1b.svg)](https://arxiv.org/abs/2312.09869) | :heavy_minus_sign: | | 3464 | SRFormer: Text Detection Transformer with Incorporated Segmentation and Regression | [![GitHub](https://img.shields.io/github/stars/retsuh-bqw/SRFormer-Text-Det?style=flat)](https://github.com/retsuh-bqw/SRFormer-Text-Det) | [![arXiv](https://img.shields.io/badge/arXiv-2308.10531-b31b1b.svg)](https://arxiv.org/abs/2308.10531) | :heavy_minus_sign: | | 6717 | SAT-based Algorithms for Regular Graph Pattern Matching | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.09995-b31b1b.svg)](https://arxiv.org/abs/2312.09995) | :heavy_minus_sign: | | 1709 | BAND: Biomedical Alert News Dataset | [![GitHub](https://img.shields.io/github/stars/fuzihaofzh/BAND?style=flat)](https://github.com/fuzihaofzh/BAND) | [![arXiv](https://img.shields.io/badge/arXiv-2305.14480-b31b1b.svg)](https://arxiv.org/abs/2305.14480) | :heavy_minus_sign: | | 5979 | SD-MVS: Segmentation-Driven Deformation Multi-View Stereo with Spherical Refinement and EM Optimization | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2401.06385-b31b1b.svg)](https://arxiv.org/abs/2401.06385) | :heavy_minus_sign: | | 4048 | Dynamic Weighted Combiner for Mixed-Modal Image Retrieval | [![GitHub](https://img.shields.io/github/stars/fuxianghuang1/DWC?style=flat)](https://github.com/fuxianghuang1/DWC) | [![arXiv](https://img.shields.io/badge/arXiv-2312.06179-b31b1b.svg)](https://arxiv.org/abs/2312.06179) | :heavy_minus_sign: | | 4157 | MCL-NER: Cross-Lingual Named Entity Recognition via Multi-View Contrastive Learning | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2308.09073-b31b1b.svg)](https://arxiv.org/abs/2308.09073) | :heavy_minus_sign: | | 1360 | Iterative Token Evaluation and Refinement for Real-World Super-Resolution | [![GitHub](https://img.shields.io/github/stars/chaofengc/ITER?style=flat)](https://github.com/chaofengc/ITER) | [![arXiv](https://img.shields.io/badge/arXiv-2312.05616-b31b1b.svg)](https://arxiv.org/abs/2312.05616) | :heavy_minus_sign: | | 6032 | CrossBind: Collaborative Cross-Modal Identification of Protein Nucleic-Acid-Binding Residues | [![GitHub](https://img.shields.io/github/stars/BEAM-Labs/CrossBind?style=flat)](https://github.com/BEAM-Labs/CrossBind) | [![arXiv](https://img.shields.io/badge/arXiv-2312.12094-b31b1b.svg)](https://arxiv.org/abs/2312.12094) | :heavy_minus_sign: | | 746 | Optical Flow for Spike Camera with Hierarchical Spatial-Temporal Spike Fusion | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 913 | Reviewing the Forgotten Classes for Domain Adaptation of Black-Box Predictors | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 2955 | MatchDet: A Collaborative Framework for Image Matching and Object Detection | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.10983-b31b1b.svg)](https://arxiv.org/abs/2312.10983) | :heavy_minus_sign: | | 3441 | DGA-GNN: Dynamic Grouping Aggregation GNN for Fraud Detection | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 799 | FedDiv: Collaborative Noise Filtering for Federated Learning with Noisy Labels | [![GitHub](https://img.shields.io/github/stars/lijichang/FLNL-FedDiv?style=flat)](https://github.com/lijichang/FLNL-FedDiv) | [![arXiv](https://img.shields.io/badge/arXiv-2312.12263-b31b1b.svg)](https://arxiv.org/abs/2312.12263) | :heavy_minus_sign: | | 4642 | patchDPCC: A Patchwise Deep Compression Framework for Dynamic Point Clouds | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 650 | Regroup Median Loss for Combating Label Noise | [![GitHub](https://img.shields.io/github/stars/Feng-peng-Li/Regroup-Loss-Median-to-Combat-Label-Noise?style=flat)](https://github.com/Feng-peng-Li/Regroup-Loss-Median-to-Combat-Label-Noise) | [![arXiv](https://img.shields.io/badge/arXiv-2312.06273-b31b1b.svg)](https://arxiv.org/abs/2312.06273) | :heavy_minus_sign: | | 1000 | Multimodal Event Causality Reasoning with Scene Graph Enhanced Interaction Network | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 3163 | TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event Sequences | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2306.14114-b31b1b.svg)](https://arxiv.org/abs/2306.14114) | :heavy_minus_sign: | | 6088 | Latent Diffusion Transformer for Probabilistic Time Series Forecasting | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 1197 | Mining Gaze for Contrastive Learning toward Computer-Assisted Diagnosis | [![GitHub](https://img.shields.io/github/stars/zhaozh10/McGIP?style=flat)](https://github.com/zhaozh10/McGIP) | [![arXiv](https://img.shields.io/badge/arXiv-2312.06069-b31b1b.svg)](https://arxiv.org/abs/2312.06069) | :heavy_minus_sign: | | 1823 | Parallel Vertex Diffusion for Unified Visual Grounding | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2303.07216-b31b1b.svg)](https://arxiv.org/abs/2303.07216) | :heavy_minus_sign: | | 3382 | G2SAM: Graph-based Global Semantic Awareness Method for Multimodal Sarcasm Detection | [![GitHub](https://img.shields.io/github/stars/upccpu/G2SAM?style=flat)](https://github.com/upccpu/G2SAM) | :heavy_minus_sign: | :heavy_minus_sign: | | 4677 | Meta-Learning-based Adaptive Stability Certificates for Dynamical Systems | [![GitHub](https://img.shields.io/github/stars/amitjena1992/Meta-NLF?style=flat)](https://github.com/amitjena1992/Meta-NLF) | [![arXiv](https://img.shields.io/badge/arXiv-2312.15340-b31b1b.svg)](https://arxiv.org/abs/2312.15340) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=WRfHpr1fLWA) | | 526 | Unsupervised Domain Adaptative Temporal Sentence Localization with Mutual Information Maximization | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 1445 | Fine-Grained Knowledge Selection and Restoration for Non-Exemplar Class Incremental Learning | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.12722-b31b1b.svg)](https://arxiv.org/abs/2312.12722) | :heavy_minus_sign: | | 378 | Watch Your Head: Assembling Projection Heads to Save the Reliability of Federated Models | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 1121 | SCTNet: Single-Branch CNN with Transformer Semantic Information for Real-Time Segmentation | [![GitHub](https://img.shields.io/github/stars/xzz777/SCTNet?style=flat)](https://github.com/xzz777/SCTNet) | [![arXiv](https://img.shields.io/badge/arXiv-2312.17071-b31b1b.svg)](https://arxiv.org/abs/2312.17071) | :heavy_minus_sign: | | 1492 | Domain Generalizable Person Search using Unreal Dataset | [![GitHub](https://img.shields.io/github/stars/myoh97/DGPS?style=flat)](https://github.com/myoh97/DGPS) | :heavy_minus_sign: | :heavy_minus_sign: | | 2336 | Dynamic Tangled Derivative Logic of Metric Spaces | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2301.09904-b31b1b.svg)](https://arxiv.org/abs/2301.09904) | :heavy_minus_sign: | | 2855 | MaskDiff: Modeling Mask Distribution with Diffusion Probabilistic Model for Few-Shot Instance Segmentation | [![GitHub](https://img.shields.io/github/stars/minhquanlecs/MaskDiff?style=flat)](https://github.com/minhquanlecs/MaskDiff) | [![arXiv](https://img.shields.io/badge/arXiv-2303.05105-b31b1b.svg)](https://arxiv.org/abs/2303.05105) | :heavy_minus_sign: | | 5253 | Stability in Online Coalition Formation | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.09119-b31b1b.svg)](https://arxiv.org/abs/2312.09119) | :heavy_minus_sign: | | 6423 | Learning Broadcast Protocols | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2306.14284-b31b1b.svg)](https://arxiv.org/abs/2306.14284) | :heavy_minus_sign: | | 5572 | A Hybrid Global-Local Perception Network for Lane Detection | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 2012 | Modeling Adaptive Inter-Task Feature Interactions via Sentiment-Aware Contrastive Learning for Joint Aspect-Sentiment Prediction | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 538 | COMMA: Co-Articulated Multi-Modal Learning | [![GitHub](https://img.shields.io/github/stars/hulianyuyy/COMMA?style=flat)](https://github.com/hulianyuyy/COMMA) | [![arXiv](https://img.shields.io/badge/arXiv-2401.00268-b31b1b.svg)](https://arxiv.org/abs/2401.00268) | :heavy_minus_sign: | | 908 | UniADS: Universal Architecture-Distiller Search for Distillation Gap | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 3607 | Fair Lotteries for Participatory Budgeting | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 1573 | Learning Planning Domains from Non-Redundant Fully-Observed Traces: Theoretical Foundations and Complexity Analysis | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 1948 | Sparse3D: Distilling Multiview-Consistent Diffusion for Object Reconstruction from Sparse Views | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2308.14078-b31b1b.svg)](https://arxiv.org/abs/2308.14078) | :heavy_minus_sign: | | 2435 | DVANet: Disentangling View and Action Features for Multi-View Action Recognition | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.05719-b31b1b.svg)](https://arxiv.org/abs/2312.05719) | :heavy_minus_sign: | | 4633 | SphereDiffusion: Spherical Geometry-Aware Distortion Resilient Diffusion Model | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 1912 | Towards Transferable Adversarial Attacks with Centralized Perturbation | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.06199-b31b1b.svg)](https://arxiv.org/abs/2312.06199) | :heavy_minus_sign: | | 7293 | Neural Time-Reversed Generalized Riccati Equation | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.09310-b31b1b.svg)](https://arxiv.org/abs/2312.09310) | :heavy_minus_sign: | | 2099 | MCA: Moment Channel Attention Networks | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 5041 | Compositional Inversion for Stable Diffusion Models | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://zhangxulu1996.github.io/Compositional-Inversion/)
[![GitHub](https://img.shields.io/github/stars/zhangxulu1996/Compositional-Inversion?style=flat)](https://github.com/zhangxulu1996/Compositional-Inversion) | [![arXiv](https://img.shields.io/badge/arXiv-2312.08048-b31b1b.svg)](https://arxiv.org/abs/2312.08048) | | | 1676 | Self-Supervised Representation Learning with Meta Comprehensive Regularization | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 1869 | Towards Understanding Future: Consistency Guided Probabilistic Modeling for Action Anticipation | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 5799 | Toward Open-Set Human Object Interaction Detection | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 7645 | SayCanPay: Heuristic Planning with Large Language Models using Learnable Domain Knowledge | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://rishihazra.github.io/SayCanPay/)
[![GitHub](https://img.shields.io/github/stars/RishiHazra/saycanpay?style=flat)](https://github.com/RishiHazra/saycanpay) | [![arXiv](https://img.shields.io/badge/arXiv-2308.12682-b31b1b.svg)](https://arxiv.org/abs/2308.12682) | :heavy_minus_sign: | | 1157 | Meta-Inverse Reinforcement Learning for Mean Field Games via Probabilistic Context Variables | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 2836 | Coupled Confusion Correction: Learning from Crowds with Sparse Annotations | [![GitHub](https://img.shields.io/github/stars/Hansong-Zhang/CCC?style=flat)](https://github.com/Hansong-Zhang/CCC) | [![arXiv](https://img.shields.io/badge/arXiv-2312.07331-b31b1b.svg)](https://arxiv.org/abs/2312.07331) | :heavy_minus_sign: | | 1227 | MDGNN: Multi-Relational Dynamic Graph Neural Network for Comprehensive and Dynamic Stock Investment Prediction | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2402.06633-b31b1b.svg)](https://arxiv.org/abs/2402.06633) | :heavy_minus_sign: | | 6123 | Far3D: Expanding the Horizon for Surround-View 3D Object Detection | [![GitHub](https://img.shields.io/github/stars/megvii-research/Far3D?style=flat)](https://github.com/megvii-research/Far3D) | [![arXiv](https://img.shields.io/badge/arXiv-2308.09616-b31b1b.svg)](https://arxiv.org/abs/2308.09616) | :heavy_minus_sign: | | 1923 | PPO-Clip Attains Global Optimality: Towards Deeper Understandings of Clipping | [![GitHub](https://img.shields.io/github/stars/NYCU-RL-Bandits-Lab/Neural-PPO-Clip?style=flat)](https://github.com/NYCU-RL-Bandits-Lab/Neural-PPO-Clip) | [![arXiv](https://img.shields.io/badge/arXiv-2312.12065-b31b1b.svg)](https://arxiv.org/abs/2312.12065) | :heavy_minus_sign: | | 2208 | Preparing Lessons for Progressive Training on Language Models | [![GitHub](https://img.shields.io/github/stars/yuanyehome/Apollo-AAAI-2024-Release?style=flat)](https://github.com/yuanyehome/Apollo-AAAI-2024-Release) | [![arXiv](https://img.shields.io/badge/arXiv-2401.09192-b31b1b.svg)](https://arxiv.org/abs/2401.09192) | :heavy_minus_sign: | | 1850 | Towards Evidential and Class Separable Open Set Object Detection | [![GitHub](https://img.shields.io/github/stars/roywang021/EOD?style=flat)](https://github.com/roywang021/EOD) | :heavy_minus_sign: | :heavy_minus_sign: | | 3513 | AACP: Aesthetics Assessment of Children's Paintings based on Self-Supervised Learning | [![GitHub](https://img.shields.io/github/stars/Erinqi/AACP?style=flat)](https://github.com/Erinqi/AACP) | :heavy_minus_sign: | :heavy_minus_sign: | | 6451 | Exploring Equation as a Better Intermediate Meaning Representation for Numerical Reasoning of Large Language Models | [![GitHub](https://img.shields.io/github/stars/zirui-HIT/Bridge_for_Numerical_Reasoning?style=flat)](https://github.com/zirui-HIT/Bridge_for_Numerical_Reasoning) | [![arXiv](https://img.shields.io/badge/arXiv-2308.10585-b31b1b.svg)](https://arxiv.org/abs/2308.10585) | :heavy_minus_sign: | | 7821 | MIND: Multi-Task Incremental Network Distillation | [![GitHub](https://img.shields.io/github/stars/Lsabetta/MIND?style=flat)](https://github.com/Lsabetta/MIND) | [![arXiv](https://img.shields.io/badge/arXiv-2312.02916-b31b1b.svg)](https://arxiv.org/abs/2312.02916) | :heavy_minus_sign: | | 2248 | Towards Robust Image Stitching: An Adaptive Resistance Learning against Compatible Attacks | [![GitHub](https://img.shields.io/github/stars/Jzy2017/TRIS?style=flat)](https://github.com/Jzy2017/TRIS) | :heavy_minus_sign: | :heavy_minus_sign: | | 2399 | Independence of Irrelevant Alternatives under the Lens of Pairwise Distortion | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 2250 | HyperEditor: Achieving Both Authenticity and Cross-Domain Capability in Image Editing via Hypernetworks | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.13537-b31b1b.svg)](https://arxiv.org/abs/2312.13537) | :heavy_minus_sign: | | 3395 | Enhancing Low-Resource Relation Representations through Multi-View Decoupling | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 479 | Racing Control Variable Genetic Programming for Symbolic Regression | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2309.07934-b31b1b.svg)](https://arxiv.org/abs/2309.07934) | :heavy_minus_sign: | | 1289 | Mask-Homo: Pseudo Plane Mask-Guided Unsupervised Multi-Homography Estimation | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 670 | Unifying Visual and Vision-Language Tracking via Contrastive Learning | [![GitHub](https://img.shields.io/github/stars/OpenSpaceAI/UVLTrack?style=flat)](https://github.com/OpenSpaceAI/UVLTrack) | [![arXiv](https://img.shields.io/badge/arXiv-2401.11228-b31b1b.svg)](https://arxiv.org/abs/2401.11228) | :heavy_minus_sign: | | 1372 | Test-Time Domain Adaptation by Learning Domain-Aware Batch Normalization | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://chi-chi-zx.github.io/MABN_project/)
[![GitHub](https://img.shields.io/github/stars/ynanwu/MABN?style=flat)](https://github.com/ynanwu/MABN) | [![arXiv](https://img.shields.io/badge/arXiv-2312.10165-b31b1b.svg)](https://arxiv.org/abs/2312.10165) | :heavy_minus_sign: | | 939 | SAMFlow: Eliminating Any Fragmentation in Optical Flow with Segment Anything Model | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2307.16586-b31b1b.svg)](https://arxiv.org/abs/2307.16586) | :heavy_minus_sign: | | 3663 | A Comprehensive Analysis of the Effectiveness of Large Language Models as Automatic Dialogue Evaluators | [![GitHub](https://img.shields.io/github/stars/e0397123/comp-analysis?style=flat)](https://github.com/e0397123/comp-analysis) | [![arXiv](https://img.shields.io/badge/arXiv-2312.15407-b31b1b.svg)](https://arxiv.org/abs/2312.15407) | :heavy_minus_sign: | | 2379 | Understanding the Role of the Projector in Knowledge Distillation | [![GitHub](https://img.shields.io/github/stars/roymiles/Simple-Recipe-Distillation?style=flat)](https://github.com/roymiles/Simple-Recipe-Distillation) | [![arXiv](https://img.shields.io/badge/arXiv-2303.11098-b31b1b.svg)](https://arxiv.org/abs/2303.11098) | :heavy_minus_sign: | | 517 | Semantic Lens: Instance-Centric Semantic Alignment for Video Super-Resolution | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://tang5618.com/Semantic-Lens-AAAI24/)
[![GitHub](https://img.shields.io/github/stars/Tang1705/Semantic-Lens-AAAI24?style=flat)](https://github.com/Tang1705/Semantic-Lens-AAAI24) | [![arXiv](https://img.shields.io/badge/arXiv-2312.07823-b31b1b.svg)](https://arxiv.org/abs/2312.07823) | :heavy_minus_sign: | | 4593 | Predicting Real-World Penny Auction Durations by Integrating Game Theory and Machine Learning | [![GitHub](https://img.shields.io/github/stars/YogaWang7/ADAPT?style=flat)](https://github.com/YogaWang7/ADAPT) | :heavy_minus_sign: | :heavy_minus_sign: | | 7066 | Federated Modality-Specific Encoders and Multimodal Anchors for Personalized Brain Tumor Segmentation | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 1728 | Self-Paced Unified Representation Learning for Hierarchical Multi-Label Classification | [![GitHub](https://img.shields.io/github/stars/yuanzx33033/SPUR?style=flat)](https://github.com/yuanzx33033/SPUR) | :heavy_minus_sign: | :heavy_minus_sign: | | 2337 | HiHPQ: Hierarchical Hyperbolic Product Quantization for Unsupervised Image Retrieval | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2401.07212-b31b1b.svg)](https://arxiv.org/abs/2401.07212) | :heavy_minus_sign: | | 1163 | VIGC: Visual Instruction Generation and Correction | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://opendatalab.github.io/VIGC/)
[![GitHub](https://img.shields.io/github/stars/opendatalab/VIGC?style=flat)](https://github.com/opendatalab/VIGC) | [![arXiv](https://img.shields.io/badge/arXiv-2308.12714-b31b1b.svg)](https://arxiv.org/abs/2308.12714) | :heavy_minus_sign: | | 1991 | Few-Shot Learning from Augmented Label-Uncertain Queries in Bongard-HOI | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://chelsielei.github.io/LUQ/)
[![GitHub](https://img.shields.io/github/stars/ChelsieLei/LUQ?style=flat)](https://github.com/ChelsieLei/LUQ) | [![arXiv](https://img.shields.io/badge/arXiv-2312.10586-b31b1b.svg)](https://arxiv.org/abs/2312.10586) | :heavy_minus_sign: | | 5666 | PG-LBO: Enhancing High-Dimensional Bayesian Optimization with Pseudo-Label and Gaussian Process Guidance | [![GitHub](https://img.shields.io/github/stars/TaicaiChen/PG-LBO?style=flat)](https://github.com/TaicaiChen/PG-LBO) | [![arXiv](https://img.shields.io/badge/arXiv-2312.16983-b31b1b.svg)](https://arxiv.org/abs/2312.16983) | :heavy_minus_sign: | | 5900 | Relaxed Stationary Distribution Correction Estimation for Improved Offline Policy Optimization | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 2242 | Optimal Transport with Cyclic Symmetry | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2311.13147-b31b1b.svg)](https://arxiv.org/abs/2311.13147) | :heavy_minus_sign: | | 2449 | Instrumental Variable Estimation for Causal Inference in Longitudinal Data with Time-Dependent Latent Confounders | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.07175-b31b1b.svg)](https://arxiv.org/abs/2312.07175) | :heavy_minus_sign: | | 1440 | TextGT: A Double-View Graph Transformer on Text for Aspect-based Sentiment Analysis | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 1682 | Color Event Enhanced Single-Exposure HDR Imaging | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 782 | Efficient Deweahter Mixture-of-Experts with Uncertainty-Aware Feature-Wise Linear Modulation | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 1284 | Adversarial Socialbots Modeling based on Structural Information Principles | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.08098-b31b1b.svg)](https://arxiv.org/abs/2312.08098) | :heavy_minus_sign: | | 500 | Wavelet Dynamic Selection Network for Inertial Sensor Signal Enhancement | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2401.05416-b31b1b.svg)](https://arxiv.org/abs/2401.05416) | :heavy_minus_sign: | | 2388 | Adaptive Prompt Routing for Arbitrary Text Style Transfer with Pre-Trained Language Models | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 1328 | Solving Spectrum Unmixing as a Multi-Task Bayesian Inverse Problem with Latent Factors for Endmember Variability | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 1763 | Long-Tailed Learning as Multi-Objective Optimization | [![GitHub](https://img.shields.io/github/stars/WickyLee1998/GBG_v1?style=flat)](https://github.com/WickyLee1998/GBG_v1) | [![arXiv](https://img.shields.io/badge/arXiv-2310.20490-b31b1b.svg)](https://arxiv.org/abs/2310.20490) | :heavy_minus_sign: | | 368 | DeS3: Adaptive Attention-Driven Self and Soft Shadow Removal using ViT Similarity | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2211.08089-b31b1b.svg)](https://arxiv.org/abs/2211.08089) | :heavy_minus_sign: | | 2359 | Deep Linear Array Pushbroom Image Restoration: A Degradation Pipeline and Jitter-Aware Restoration Network | [![GitHub](https://img.shields.io/github/stars/JHW2000/JARNet?style=flat)](https://github.com/JHW2000/JARNet) | [![arXiv](https://img.shields.io/badge/arXiv-2401.08171-b31b1b.svg)](https://arxiv.org/abs/2401.08171) | :heavy_minus_sign: | | 528 | SQLdepth: Generalizable Self-Supervised Fine-Structured Monocular Depth Estimation | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2309.00526-b31b1b.svg)](https://arxiv.org/abs/2309.00526) | :heavy_minus_sign: | | 2008 | Leveraging Partial Symmetry for Multi-Agent Reinforcement Learning | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2401.00167-b31b1b.svg)](https://arxiv.org/abs/2401.00167) | :heavy_minus_sign: | | 1891 | Spotting the Unseen: Reciprocal Consensus Network Guided by Visual Archetypes | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 3579 | Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language Models | [![GitHub](https://img.shields.io/github/stars/Vill-Lab/2024-AAAI-HPT?style=flat)](https://github.com/Vill-Lab/2024-AAAI-HPT) | [![arXiv](https://img.shields.io/badge/arXiv-2312.06323-b31b1b.svg)](https://arxiv.org/abs/2312.06323) | :heavy_minus_sign: | | 562 | DGL: Dynamic Global-Local Prompt Tuning for Text-Video Retrieval | [![GitHub](https://img.shields.io/github/stars/knightyxp/DGL?style=flat)](https://github.com/knightyxp/DGL) | [![arXiv](https://img.shields.io/badge/arXiv-2401.10588-b31b1b.svg)](https://arxiv.org/abs/2401.10588) | :heavy_minus_sign: | | 2408 | Multiobjective Lipschitz Bandits under Lexicographic Ordering | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 2050 | LF-ViT: Reducing Spatial Redundancy in Vision Transformer for Efficient Image Recognition | [![GitHub](https://img.shields.io/github/stars/edgeai1/LF-ViT?style=flat)](https://github.com/edgeai1/LF-ViT) | [![arXiv](https://img.shields.io/badge/arXiv-2402.00033-b31b1b.svg)](https://arxiv.org/abs/2402.00033) | :heavy_minus_sign: | | 2108 | Diversity-Authenticity Co-Constrained Stylization for Federated Domain Generalization in Person Re-Identification | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 2746 | Exploring Self- and Cross-Triplet Correlations for Human-Object Interaction Detection | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2401.05676-b31b1b.svg)](https://arxiv.org/abs/2401.05676) | :heavy_minus_sign: | | 3531 | AnomalyGPT: Detecting Industrial Anomalies using Large Vision-Language Models | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://anomalygpt.github.io/)
[![GitHub](https://img.shields.io/github/stars/CASIA-IVA-Lab/AnomalyGPT?style=flat)](https://github.com/CASIA-IVA-Lab/AnomalyGPT)
[![Hugging Face](https://img.shields.io/badge/🤗-demo-FFD21F.svg)](https://huggingface.co/spaces/FantasticGNU/AnomalyGPT) | [![arXiv](https://img.shields.io/badge/arXiv-2308.15366-b31b1b.svg)](https://arxiv.org/abs/2308.15366) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=lcxBfy0YnNA) | | 1808 | SwitchTab: Switched Autoencoders are Effective Tabular Learners | [![GitHub](https://img.shields.io/github/stars/avivnur/SwitchTab?style=flat)](https://github.com/avivnur/SwitchTab) | [![arXiv](https://img.shields.io/badge/arXiv-2401.02013-b31b1b.svg)](https://arxiv.org/abs/2401.02013) | :heavy_minus_sign: | | 2492 | Combinatorial CNN-Transformer Learning with Manifold Constraints for Semi-Supervised Medical Image Segmentation | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 1217 | Interactive Hyperparameter Optimization in Multi-Objective Problems via Preference Learning | [![GitHub](https://img.shields.io/github/stars/automl/interactive-mo-ml?style=flat)](https://github.com/automl/interactive-mo-ml) | [![arXiv](https://img.shields.io/badge/arXiv-2309.03581-b31b1b.svg)](https://arxiv.org/abs/2309.03581) | :heavy_minus_sign: | | 6130 | FusionFormer: A Concise Unified Feature Fusion Transformer for 3D Pose Estimation | [![GitHub](https://img.shields.io/github/stars/DoUntilFalse/FusionFormer?style=flat)](https://github.com/DoUntilFalse/FusionFormer) | :heavy_minus_sign: | :heavy_minus_sign: | | 5207 | Temporal Graph Contrastive Learning for Sequential Recommendation | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 6510 | Benchmarking Large Language Models in Retrieval-Augmented Generation | [![GitHub](https://img.shields.io/github/stars/chen700564/RGB?style=flat)](https://github.com/chen700564/RGB) | [![arXiv](https://img.shields.io/badge/arXiv-2309.01431-b31b1b.svg)](https://arxiv.org/abs/2309.01431) | :heavy_minus_sign: | | 2006 | Backdoor Adjustment via Group Adaptation for Debiased Coupon Recommendations | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 3729 | UniAP: Towards Universal Animal Perception in Vision via Few-Shot Learning | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://rese1f.github.io/UniAP/)
[![GitHub](https://img.shields.io/github/stars/rese1f/UniAP?style=flat)](https://github.com/rese1f/UniAP) | [![arXiv](https://img.shields.io/badge/arXiv-2308.09953-b31b1b.svg)](https://arxiv.org/abs/2308.09953) | :heavy_minus_sign: | | 2675 | Wavelet-Driven Spatiotemporal Predictive Learning: Bridging Frequency and Time Variations | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 3955 | WikiSQE: A Large-Scale Dataset for Sentence Quality Estimation in Wikipedia | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2305.05928-b31b1b.svg)](https://arxiv.org/abs/2305.05928) | :heavy_minus_sign: | | 9291 | Towards Diverse Perspective Learning with Selection over Multiple Temporal Poolings | [![GitHub](https://img.shields.io/github/stars/jihyeonseong/SoM-TP?style=flat)](https://github.com/jihyeonseong/SoM-TP) | :heavy_minus_sign: | :heavy_minus_sign: | | 1467 | Learning Ultrametric Trees for Optimal Transport Regression | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2210.12288-b31b1b.svg)](https://arxiv.org/abs/2210.12288) | :heavy_minus_sign: | | 899 | Controllable 3D Face Generation with Conditional Style Code Diffusion | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://sxl142.github.io/TEx-Face/)
[![GitHub](https://img.shields.io/github/stars/sxl142/TEx-Face?style=flat)](https://github.com/sxl142/TEx-Face) | [![arXiv](https://img.shields.io/badge/arXiv-2312.13941-b31b1b.svg)](https://arxiv.org/abs/2312.13941) | :heavy_minus_sign: | | 3431 | Make RepVGG Greater Again: A Quantization-Aware Approach | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2212.01593-b31b1b.svg)](https://arxiv.org/abs/2212.01593) | :heavy_minus_sign: | | 3524 | Exposing the Deception: Uncovering more Forgery Clues for Deepfake Detection | [![GitHub](https://img.shields.io/github/stars/QingyuLiu/Exposing-the-Deception?style=flat)](https://github.com/QingyuLiu/Exposing-the-Deception) | :heavy_minus_sign: | :heavy_minus_sign: | | 7276 | On the Unstable Convergence Regime of Gradient Descent | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 347 | Deep Hierarchical Video Compression | [![GitHub](https://img.shields.io/github/stars/NJUVISION/DHVC?style=flat)](https://github.com/NJUVISION/DHVC) | [![arXiv](https://img.shields.io/badge/arXiv-2312.07126-b31b1b.svg)](https://arxiv.org/abs/2312.07126) | :heavy_minus_sign: | | 2520 | SurgicalSAM: Efficient Class Promptable Surgical Instrument Segmentation | [![GitHub](https://img.shields.io/github/stars/wenxi-yue/SurgicalSAM?style=flat)](https://github.com/wenxi-yue/SurgicalSAM) | [![arXiv](https://img.shields.io/badge/arXiv-2308.08746-b31b1b.svg)](https://arxiv.org/abs/2308.08746) | :heavy_minus_sign: | | 938 | Low-Latency Space-Time Supersampling for Real-Time Rendering | [![GitHub](https://img.shields.io/github/stars/ryanhe312/STSSNet-AAAI2024?style=flat)](https://github.com/ryanhe312/STSSNet-AAAI2024) | [![arXiv](https://img.shields.io/badge/arXiv-2312.10890-b31b1b.svg)](https://arxiv.org/abs/2312.10890) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=8aPu2ECwVLk) | | 2357 | Learning Generalized Segmentation for Foggy-Scenes by Bi-Directional Wavelet Guidance | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 3420 | Block-Level Goal Recognition Design | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 937 | FoSp: Focus and Separation Network for Early Smoke Segmentation | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2306.04474-b31b1b.svg)](https://arxiv.org/abs/2306.04474) | :heavy_minus_sign: | | 1409 | AMD: Autoregressive Motion Diffusion | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2305.09381-b31b1b.svg)](https://arxiv.org/abs/2305.09381) | :heavy_minus_sign: | | 1568 | Direct Amortized Likelihood Ratio Estimation | [![GitHub](https://img.shields.io/github/stars/SRI-CSL/dnre?style=flat)](https://github.com/SRI-CSL/dnre) | [![arXiv](https://img.shields.io/badge/arXiv-2311.10571-b31b1b.svg)](https://arxiv.org/abs/2311.10571) | :heavy_minus_sign: | | 466 | Refined Characterizations of Approval-based Committee Scoring Rules | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.08799-b31b1b.svg)](https://arxiv.org/abs/2312.08799) | :heavy_minus_sign: | | 6683 | Enhancing Cognitive Diagnosis using Un-Interacted Exercises: A Collaboration-Aware Mixed Sampling Approach | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.10110-b31b1b.svg)](https://arxiv.org/abs/2312.10110) | :heavy_minus_sign: | | 6648 | Training-Free Quantum Architecture Search | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 4895 | Unsupervised Gene-Cell Collective Representation Learning with Optimal Transport | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 2341 | Text Image Inpainting via Global Structure-Guided Diffusion Models | [![GitHub](https://img.shields.io/github/stars/blackprotoss/GSDM?style=flat)](https://github.com/blackprotoss/GSDM) | [![arXiv](https://img.shields.io/badge/arXiv-2401.14832-b31b1b.svg)](https://arxiv.org/abs/2401.14832) | :heavy_minus_sign: | | 2935 | Norm Tweaking: High-Performance Low-Bit Quantization of Large Language Models | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2309.02784-b31b1b.svg)](https://arxiv.org/abs/2309.02784) | :heavy_minus_sign: | | 1054 | On the Robustness of Neural-Enhanced Video Streaming against Adversarial Attacks | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 7187 | Forecasting Bimanual Object Manipulation Sequences from Unimanual Observations | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | ================================================ FILE: sections/2024/main/2001_2200.md ================================================ # AAAI-2024-Papers
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## 2001-2200 papers ![Section Papers](https://img.shields.io/badge/Section%20Papers-soon-42BA16) ![Preprint Papers](https://img.shields.io/badge/Preprint%20Papers-soon-b31b1b) ![Papers with Open Code](https://img.shields.io/badge/Papers%20with%20Open%20Code-soon-1D7FBF) ![Papers with Video](https://img.shields.io/badge/Papers%20with%20Video-soon-FF0000) | :id: | **Title** | **Repo** | **Paper** | **Video** | |------|-----------|:--------:|:---------:|:---------:| | 13987 | Progressive Distillation Based on Masked Generation Feature Method for | | [![arXiv](https://img.shields.io/badge/arXiv-2309.02719-b31b1b.svg)](https://arxiv.org/abs/2309.02719) | | | 14219 | Provably Powerful Graph Neural Networks for Directed Multigraphs | | [![arXiv](https://img.shields.io/badge/arXiv-2306.11586-b31b1b.svg)](https://arxiv.org/abs/2306.11586) | | | 14032 | MemoryBank: Enhancing Large Language Models with Long-Term Memory | | | | | 14098 | Formal Logic Enabled Personalized Federated Learning through Property | | [![arXiv](https://img.shields.io/badge/arXiv-2401.07448-b31b1b.svg)](https://arxiv.org/abs/2401.07448) | | | 13873 | REGLO: Provable Neural Network Repair for Global Robustness Properties | | | | | 14089 | Secure Distributed Sparse Gaussian Process Models Using Multi-Key | | [![arXiv](https://img.shields.io/badge/arXiv-1905.13697-b31b1b.svg)](https://arxiv.org/abs/1905.13697) | | | 14183 | Learn to Follow: Decentralized Lifelong Multi-Agent Pathfinding via Planning and | | [![arXiv](https://img.shields.io/badge/arXiv-2310.01207-b31b1b.svg)](https://arxiv.org/abs/2310.01207) | | | 14073 | A General Search-Based Framework for Generating Textual Counterfactual | | [![arXiv](https://img.shields.io/badge/arXiv-2207.11652-b31b1b.svg)](https://arxiv.org/abs/2207.11652) | | | 14101 | Robust Communicative Multi-Agent Reinforcement Learning with Active Defense | | [![arXiv](https://img.shields.io/badge/arXiv-2312.11545-b31b1b.svg)](https://arxiv.org/abs/2312.11545) | | | 14165 | RewriteLM: An Instruction-Tuned Large Language Model for Text Rewriting | | | | | 14158 | Catch-Up Mix: Catch-Up Class for Struggling Filters in CNN | | [![arXiv](https://img.shields.io/badge/arXiv-2401.13193-b31b1b.svg)](https://arxiv.org/abs/2401.13193) | | | 13997 | DDDM-VC: Decoupled Denoising Diffusion Models with Disentangled | | | | | 14185 | Performative Federated Learning: A Solution to Model-Dependent and | | | | | 14214 | Multi-Architecture Multi-Expert Diffusion Models | | [![arXiv](https://img.shields.io/badge/arXiv-1701.00257-b31b1b.svg)](https://arxiv.org/abs/1701.00257) | | | 13947 | Eliciting Honest Information from Authors Using Sequential Review | | [![arXiv](https://img.shields.io/badge/arXiv-2311.14619-b31b1b.svg)](https://arxiv.org/abs/2311.14619) | | | 14038 | G-Adapter: Towards Structure-Aware Parameter-Efficient Transfer Learning for | | | | | 14147 | ConceptBed: Evaluating Concept Learning Abilities of Text-to-Image Diffusion | | | | | 14071 | Inducing Point Operator Transformer: A Flexible and Scalable Architecture for | | | | | 13976 | GLOP: Learning Global Partition and Local Construction for Solving Large-Scale | | | | | 14004 | Accelerate Multi-Agent Reinforcement Learning in Zero-Sum Games with | | | | | 13946 | Stochastic Bayesian Optimization with Unknown Continuous Context Distribution | | | | | 13952 | Regret Analysis of Repeated Delegated Choice | | | | | 14081 | z-SignFedAvg: A Unified Stochastic Sign-Based Compression for Federated | | | | | 14166 | Contextual Pandora’s Box | | | | | 13990 | Robust Distributed Gradient Aggregation Using Projections onto Gradient | | | | | 13971 | Generative Model Perception Rectification Algorithm for Trade-Off between | | | | | 14088 | Taming Binarized Neural Networks and Mixed-Integer Programs | | | | | 13876 | Partial Label Learning with a Partner | | | | | 14195 | Faithful Model Explanations through Energy-Constrained Conformal | | | | | 14127 | A Graph Dynamics Prior for Relational Inference | | | | | 14155 | Towards Dynamic Spatial-Temporal Graph Learning: A Decoupled Perspective | | | | | 13895 | A Closer Look at Curriculum Adversarial Training: From an Online Perspective | | | | | 14080 | Learning Explicit Contact for Implicit Reconstruction of Hand-Held Objects from | | | | | 14044 | Get a Head Start: On-Demand Pedagogical Policy Selection in Intelligent | | | | | 13955 | Statistical Spatially Inhomogeneous Diffusion Inference | | | | | 13907 | Input Margins Can Predict Generalization Too | | | | | 14072 | Equity-Transformer: Solving NP-Hard Min-Max Routing Problems as Sequential | | | | | 14218 | OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference | | | | | 14117 | DeepSpeed Data Efficiency: Improving Deep Learning Model Quality and | | | | | 14148 | Leaving the Nest: Going beyond Local Loss Functions for Predict-Then-Optimize | | | | | 14018 | Robust Nonparametric Regression under Poisoning Attack | | | | | 14187 | Scores for Learning Discrete Causal Graphs with Unobserved Confounders | | | | | 14210 | Dynamic Knowledge Injection for AIXI Agents | | | | | 14179 | Understanding and Improving Optimization in Predictive Coding Networks | | | | | 13928 | PARSAC: Accelerating Robust Multi-Model Fitting with Parallel Sample | | | | | 13913 | Factored Online Planning in Many-Agent POMDPs | | | | | 13918 | Neural Reasoning about Agents’ Goals, Preferences, and Actions | | | | | 14170 | Principal-Agent Reward Shaping in MDPs | | | | | 14043 | Task Planning for Object Rearrangement in Multi-Room Environments | | | | | 14221 | Continuous Treatment Effect Estimation Using Gradient Interpolation and Kernel | | | | | 14053 | Feature Distribution Matching by Optimal Transport for Effective and Robust | | | | | 14201 | Dialogues Are Not Just Text: Modeling Cognition for Dialogue Coherence | | | | | 14064 | A Unified Self-Distillation Framework for Multimodal Sentiment Analysis with | | | | | 14024 | Guiding a Harsh-Environments Robust Detector via RAW Data Characteristic | | | | | 13964 | One at a Time: Progressive Multi-Step Volumetric Probability Learning for | | | | | 13989 | LimeAttack: Local Explainable Method for Textual Hard-Label Adversarial Attack | | | | | 14191 | A Novel Skip Orthogonal List for Dynamic Optimal Transport Problem | | | | | 13898 | Mixed-Effects Contextual Bandits | | | | | 14209 | Beyond Attention: Breaking the Limits of Transformer Context Length with | | | | | 13889 | Resisting Backdoor Attacks in Federated Learning via Bidirectional Elections and | | | | | 14197 | Transportable Representations for Domain Generalization | | | | | 14113 | Exponential Hardness of Optimization from the Locality in Quantum Neural | | | | | 13953 | VIXEN: Visual Text Comparison Network for Image Difference Captioning | | | | | 13859 | MFOS: Model-Free & One-Shot Object Pose Estimation | | | | | 14171 | Hierarchical Topology Isomorphism Expertise Embedded Graph Contrastive | | | | | 14142 | Cumulative Regret Analysis of the Piyavskii–Shubert Algorithm and Its Variants | | | | | 14021 | PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion | | | | | 13906 | Improved Bandits in Many-to-One Matching Markets with Incentive Compatibility | | | | | 14196 | Learning Representations on the Unit Sphere: Investigating Angular Gaussian | | | | | 14026 | Towards Real-World Test-Time Adaptation: Tri-net Self-Training with Balanced | | | | | 13977 | Complete Neural Networks for Complete Euclidean Graphs | | | | | 13929 | Probabilistic Offline Policy Ranking with Approximate Bayesian Computation | | | | | 14118 | DRF: Improving Certified Robustness via Distributional Robustness Framework | | | | | 14220 | Stealthy Adversarial Attacks on Stochastic Multi-Armed Bandits | | | | | 14027 | CutFreq: Cut-and-Swap Frequency Components for Low-Level Vision | | | | | 14189 | PosDiffNet: Positional Neural Diffusion for Point Cloud Registration in a Large | | | | | 14094 | Beyond Prototypes: Semantic Anchor Regularization for Better Representation | | | | | 14022 | Dynamic Spiking Graph Neural Networks | | | | | 14056 | Higher-Order Graph Convolutional Network with Flower-Petals Laplacians on | | | | | 13948 | Xiezhi: An Ever-Updating Benchmark for Holistic Domain Knowledge Evaluation | | | | | 13916 | A Perspective of Q-value Estimation on Offline-to-Online Reinforcement | | | | | 13872 | Controllable Mind Visual Diffusion Model | | | | | 14014 | Reconciling Predictive and Statistical Parity: A Causal Approach | | | | | 13880 | Towards Detailed Text-to-Motion Synthesis via Basic-to-Advanced Hierarchical | | | | | 14115 | Better than Random: Reliable NLG Human Evaluation with Constrained Active | | | | | 14206 | DUEL: Duplicate Elimination on Active Memory for Self-Supervised Class- | | | | | 13874 | Dirichlet-Based Prediction Calibration for Learning with Noisy Labels | | | | | 14066 | HAGO-Net: Hierarchical Geometric Massage Passing for Molecular | | | | | 1605 | Hawkes-Enhanced Spatial-Temporal Hypergraph Contrastive Learning based on Criminal Correlations | | [![arXiv](https://img.shields.io/badge/arXiv-2208.12547-b31b1b.svg)](https://arxiv.org/abs/2208.12547) | | | 2401 | Participation Incentives in Approval-Based Committee Elections | | [![arXiv](https://img.shields.io/badge/arXiv-2312.08798-b31b1b.svg)](https://arxiv.org/abs/2312.08798) | | | 3151 | MGNet: Learning Correspondences via Multiple Graphs | | | | | 1615 | Revealing the Proximate Long-Tail Distribution in Compositional Zero-Shot Learning | | | | | 2516 | MobileInst: Video Instance Segmentation on the Mobile | | | | | 8480 | Uncertainty Regularized Evidential Regression | | [![arXiv](https://img.shields.io/badge/arXiv-1910.02600-b31b1b.svg)](https://arxiv.org/abs/1910.02600) | | | 9500 | Unsupervised Action Segmentation via Fast Learning of Semantically Consistent Actoms | | | | | 6514 | Reinforced Adaptive Knowledge Learning for Multimodal Fake News Detection | | [![arXiv](https://img.shields.io/badge/arXiv-2304.04187-b31b1b.svg)](https://arxiv.org/abs/2304.04187) | | | 1667 | Continuous Piecewise-Affine based Motion Model for Image Animation | | [![arXiv](https://img.shields.io/badge/arXiv-2311.12886-b31b1b.svg)](https://arxiv.org/abs/2311.12886) | | | 278 | EulerMormer: Robust Eulerian Motion Magnification via Dynamic Filtering within Transformer | | | | | 3795 | Learning Diffusions under Uncertainty | | [![arXiv](https://img.shields.io/badge/arXiv-2206.12327-b31b1b.svg)](https://arxiv.org/abs/2206.12327) | | | 3731 | Robustness-Guided Image Synthesis for Data-Free Quantization | | [![arXiv](https://img.shields.io/badge/arXiv-2208.13753-b31b1b.svg)](https://arxiv.org/abs/2208.13753) | | | 3764 | RadOcc: Learning Cross-Modality Occupancy Knowledge through Rendering Assisted Distillation | | | | | 4307 | GroundVLP: Harnessing Zero-Shot Visual Grounding from Vision-Language Pre-Training and Open-Vocabulary Object Detection | | | | | 433 | Enhanced Fine-Grained Motion Diffusion for Text-Driven Human Motion Synthesis | | [![arXiv](https://img.shields.io/badge/arXiv-2312.10993-b31b1b.svg)](https://arxiv.org/abs/2312.10993) | | | 1474 | Relational Distant Supervision for Image Captioning without Image-Text Pairs | | [![arXiv](https://img.shields.io/badge/arXiv-2309.01369-b31b1b.svg)](https://arxiv.org/abs/2309.01369) | | | 2678 | TurboSVM-FL: Boosting Federated Learning through SVM Aggregation for Lazy Clients | | | | | 3765 | Dual-Window Multiscale Transformer for Hyperspectral Snapshot Compressive Imaging | | [![arXiv](https://img.shields.io/badge/arXiv-2303.09773-b31b1b.svg)](https://arxiv.org/abs/2303.09773) | | | 6617 | How to Trade Off the Quantity and Capacity of Teacher Ensemble: Learning Categorical Distribution to Stochastically Employ a Teacher for Distillation | | [![arXiv](https://img.shields.io/badge/arXiv-1412.6550-b31b1b.svg)](https://arxiv.org/abs/1412.6550) | | | 130 | DifAttack: Query-Efficient Black-Box Adversarial Attack via Disentangled Feature Space | | | | | 7041 | Near-Optimal Resilient Aggregation Rules for Distributed Learning using 1-Center and 1-Mean Clustering with Outliers | | [![arXiv](https://img.shields.io/badge/arXiv-2312.12835-b31b1b.svg)](https://arxiv.org/abs/2312.12835) | | | 6094 | Customizing Language Model Responses with Contrastive In-Context Learning | | [![arXiv](https://img.shields.io/badge/arXiv-2402.10207-b31b1b.svg)](https://arxiv.org/abs/2402.10207) | | | 3164 | Learning MDL Logic Programs from Noisy Data | | [![arXiv](https://img.shields.io/badge/arXiv-2308.09393-b31b1b.svg)](https://arxiv.org/abs/2308.09393) | | | 7728 | Market-GAN: Adding Control to Financial Market Data Generation with Semantic Context | | | | | 3918 | Who Knows the Answer? Finding the Best Model and Prompt for Each Query Using Confidence-based Search | | [![arXiv](https://img.shields.io/badge/arXiv-2307.08303-b31b1b.svg)](https://arxiv.org/abs/2307.08303) | | | 11787 | Exact Inference for Continuous-Time Gaussian Process Dynamics | | [![arXiv](https://img.shields.io/badge/arXiv-2105.02522-b31b1b.svg)](https://arxiv.org/abs/2105.02522) | | | 1426 | Theoretical and Empirical Analysis of Cost-Function Merging for Implicit Hitting Set WCSP Solving | | [![arXiv](https://img.shields.io/badge/arXiv-1102.1472-b31b1b.svg)](https://arxiv.org/abs/1102.1472) | | | 2679 | Where and How to Attack? A Causality-Inspired Recipe for Generating Counterfactual Adversarial Examples | | [![arXiv](https://img.shields.io/badge/arXiv-2111.07093-b31b1b.svg)](https://arxiv.org/abs/2111.07093) | | | 2029 | Earthfarsser: Versatile Spatio-Temporal Dynamical Systems Modeling in One Model | | | | | 11471 | Learning Spatially Collaged Fourier Bases for Implicit Neural Representation | | [![arXiv](https://img.shields.io/badge/arXiv-2312.17018-b31b1b.svg)](https://arxiv.org/abs/2312.17018) | | | 3544 | Graph Reasoning Transformers for Knowledge-Aware Question Answering | | [![arXiv](https://img.shields.io/badge/arXiv-2108.08297-b31b1b.svg)](https://arxiv.org/abs/2108.08297) | | | 5977 | An Empirical Study of CLIP for Text-based Person Search | | | | | 2279 | HARDVS: Revisiting Human Activity Recognition with Dynamic Vision Sensors | | | | | 3599 | Enhancing Bilingual Lexicon Induction via Bi-Directional Translation Pair Retrieving | | [![arXiv](https://img.shields.io/badge/arXiv-2210.14378-b31b1b.svg)](https://arxiv.org/abs/2210.14378) | | | 10305 | High-Dimensional Analysis for Generalized Nonlinear Regression: From Asymptotics to Algorithm | | [![arXiv](https://img.shields.io/badge/arXiv-1401.4919-b31b1b.svg)](https://arxiv.org/abs/1401.4919) | | | 5935 | Underspecification in Language Modeling Tasks: A Causality-Informed Study of Gendered Pronoun Resolution | | [![arXiv](https://img.shields.io/badge/arXiv-1806.03743-b31b1b.svg)](https://arxiv.org/abs/1806.03743) | | | 1131 | Beyond Grounding: Extracting Fine-Grained Event Hierarchies across Modalities | | [![arXiv](https://img.shields.io/badge/arXiv-2206.07207-b31b1b.svg)](https://arxiv.org/abs/2206.07207) | | | 2808 | GAD-PVI: A General Accelerated Dynamic-Weight Particle-based Variational Inference Framework | | | | | 11581 | Can You Rely on Synthetic Labellers in Preference-based Reinforcement Learning? It's Complicated | | [![arXiv](https://img.shields.io/badge/arXiv-2309.08097-b31b1b.svg)](https://arxiv.org/abs/2309.08097) | | | 5008 | What to Remember: Self-Adaptive Continual Learning for Audio Deepfake Detection | | [![arXiv](https://img.shields.io/badge/arXiv-2312.09651-b31b1b.svg)](https://arxiv.org/abs/2312.09651) | | | 3661 | Neural Network Approximation for Pessimistic Offline Reinforcement Learning | | [![arXiv](https://img.shields.io/badge/arXiv-2203.05804-b31b1b.svg)](https://arxiv.org/abs/2203.05804) | | | 2573 | FedFixer: Mitigating Heterogeneous Label Noise in Federated Learning | | | | | 96 | QAGait: Revisit Gait Recognition from a Quality Perspective | | | | | 6522 | T2I-Adapter: Learning Adapters to Dig Out more Controllable Ability for Text-to-Image Diffusion Models | | | | | 13761 | Improving PTM Site Prediction by Coupling of Multi-Granularity Structure and Multi-Scale Sequence Representation | | [![arXiv](https://img.shields.io/badge/arXiv-2401.10211-b31b1b.svg)](https://arxiv.org/abs/2401.10211) | | | 1584 | Weighted Envy-Freeness for Submodular Valuations | | [![arXiv](https://img.shields.io/badge/arXiv-2101.02278-b31b1b.svg)](https://arxiv.org/abs/2101.02278) | | | 3046 | Exploring Large Language Model for Graph Data Understanding in Online Job Recommendations | | [![arXiv](https://img.shields.io/badge/arXiv-2307.05722-b31b1b.svg)](https://arxiv.org/abs/2307.05722) | | | 5462 | Analyzing Generalization in Policy Networks: A Case Study with the Double-Integrator System | | [![arXiv](https://img.shields.io/badge/arXiv-2302.06888-b31b1b.svg)](https://arxiv.org/abs/2302.06888) | | | 8374 | FFT-based Dynamic Token Mixer for Vision | | [![arXiv](https://img.shields.io/badge/arXiv-2303.03932-b31b1b.svg)](https://arxiv.org/abs/2303.03932) | | | 8567 | IPRemover: A Generative Model Inversion Attack against Deep Neural Network Fingerprinting and Watermarking | | | | | 6360 | STEM: Unleashing the Power of Embeddings for Multi-Task Recommendation | | | | | 6528 | Consistency-Guided Temperature Scaling using Style and Content Information for Out-of-Domain Calibration | | [![arXiv](https://img.shields.io/badge/arXiv-1806.05173-b31b1b.svg)](https://arxiv.org/abs/1806.05173) | | | 5166 | ConsistNER: Towards Instructive NER Demonstrations for LLMs with the Consistency of Ontology and Context | | | | | 6562 | U-Mixer: An Unet-Mixer Architecture with Stationarity Correction for Time Series Forecasting | | | | | 3537 | Every Node is Different: Dynamically Fusing Self-Supervised Tasks for Attributed Graph Clustering | | [![arXiv](https://img.shields.io/badge/arXiv-2401.06595-b31b1b.svg)](https://arxiv.org/abs/2401.06595) | | | 7355 | Null Space Matters: Range-Null Decomposition for Consistent Multi-Contrast MRI Reconstruction | | | | | 3292 | Generalisation through Negation and Predicate Invention | | [![arXiv](https://img.shields.io/badge/arXiv-2301.07629-b31b1b.svg)](https://arxiv.org/abs/2301.07629) | | | 10353 | An Optimal Transport View for Subspace Clustering and Spectral Clustering | | [![arXiv](https://img.shields.io/badge/arXiv-1708.08732-b31b1b.svg)](https://arxiv.org/abs/1708.08732) | | | 6384 | MGQFormer: Mask-Guided Query-based Transformer for Image Manipulation Localization | | | | | 118 | UniCell: Universal Cell Nucleus Classification via Prompt Learning | | | | | 13494 | Fully-Connected Spatial-Temporal Graph for Multivariate Time-Series Data | | [![arXiv](https://img.shields.io/badge/arXiv-2002.01890-b31b1b.svg)](https://arxiv.org/abs/2002.01890) | | | 4476 | SeGA: Preference-Aware Self-Contrastive Learning with Prompts for Anomalous User Detection on Twitter | | | | | 4044 | A General Implicit Framework for Fast NeRF Composition and Rendering | | [![arXiv](https://img.shields.io/badge/arXiv-2308.04669-b31b1b.svg)](https://arxiv.org/abs/2308.04669) | | | 6643 | SDGAN: Disentangling Semantic Manipulation for Facial Attribute Editing | | | | | 1551 | Intrinsic Phase-Preserving Networks for Depth Super Resolution | | [![arXiv](https://img.shields.io/badge/arXiv-1607.01977-b31b1b.svg)](https://arxiv.org/abs/1607.01977) | | | 5046 | Towards Automated Chinese Ancient Character Restoration: A Diffusion-based Method with a New Dataset | | [![arXiv](https://img.shields.io/badge/arXiv-2305.18760-b31b1b.svg)](https://arxiv.org/abs/2305.18760) | | | 6320 | FairSIN: Achieving Fairness in Graph Neural Networks through Sensitive Information Neutralization | | | | | 3844 | Zero-Sum Games between Mean-Field Teams: Reachability-based Analysis under Mean-Field Sharing | | [![arXiv](https://img.shields.io/badge/arXiv-1101.2337-b31b1b.svg)](https://arxiv.org/abs/1101.2337) | | | 8887 | Improving GNN Calibration with Discriminative Ability: Insights and Strategies | | [![arXiv](https://img.shields.io/badge/arXiv-2401.03350-b31b1b.svg)](https://arxiv.org/abs/2401.03350) | | | 3990 | Cross-Modal Match for Language Conditioned 3D Object Grounding | | [![arXiv](https://img.shields.io/badge/arXiv-1910.01210-b31b1b.svg)](https://arxiv.org/abs/1910.01210) | | | 5810 | Semi-Supervised Class-Agnostic Motion Prediction with Pseudo Label Regeneration and BEVMix | | [![arXiv](https://img.shields.io/badge/arXiv-2110.10174-b31b1b.svg)](https://arxiv.org/abs/2110.10174) | | | 8952 | Ced-NeRF: A Compact and Efficient Method for Dynamic Neural Radiance Fields | | | | | 8499 | Learning Efficient and Robust Multi-Agent Communication via Graph Information Bottleneck | | [![arXiv](https://img.shields.io/badge/arXiv-2002.03421-b31b1b.svg)](https://arxiv.org/abs/2002.03421) | | | 8876 | SemTra: A Semantic Skill Translator for Cross-Domain Zero-Shot Policy Adaptation | | | | | 5999 | Bidirectional Temporal Plan Graph: Enabling Switchable Passing Orders for more Efficient Multi-Agent Path Finding Plan Execution | | [![arXiv](https://img.shields.io/badge/arXiv-2401.00315-b31b1b.svg)](https://arxiv.org/abs/2401.00315) | | | 11791 | Quality-Diversity Generative Sampling for Learning with Synthetic Data | | [![arXiv](https://img.shields.io/badge/arXiv-2307.13899-b31b1b.svg)](https://arxiv.org/abs/2307.13899) | | | 7772 | Operator-Learning-Inspired Modeling of Neural Ordinary Differential Equations | | [![arXiv](https://img.shields.io/badge/arXiv-2301.00636-b31b1b.svg)](https://arxiv.org/abs/2301.00636) | | | 8491 | Considering Nonstationary within Multivariate Time Series with Variational Hierarchical Transformer for Forecasting | | [![arXiv](https://img.shields.io/badge/arXiv-2103.06148-b31b1b.svg)](https://arxiv.org/abs/2103.06148) | | | 4237 | Enhancing Multi-Scale Diffusion Prediction via Sequential Hypergraphs and Adversarial Learning | | [![arXiv](https://img.shields.io/badge/arXiv-2103.14867-b31b1b.svg)](https://arxiv.org/abs/2103.14867) | | | 11517 | Cheaper and Faster: Distributed Deep Reinforcement Learning with Serverless Computing | | [![arXiv](https://img.shields.io/badge/arXiv-2311.12839-b31b1b.svg)](https://arxiv.org/abs/2311.12839) | | | 10715 | Data-Free Generalized Zero-Shot Learning | | [![arXiv](https://img.shields.io/badge/arXiv-1903.01092-b31b1b.svg)](https://arxiv.org/abs/1903.01092) | | | 4427 | PC-Conv: Unifying Homophily and Heterophily with Two-Fold Filtering | | | | | 13642 | Auditable Algorithms for Approximate Model Counting | | | | | 8921 | Labels Need Prompts Too: Mask Matching for Natural Language Understanding Tasks | | | | | 10075 | Any-Way Meta Learning | | [![arXiv](https://img.shields.io/badge/arXiv-2303.09478-b31b1b.svg)](https://arxiv.org/abs/2303.09478) | | | 7215 | Cycle Self-Refinement for Multi-Source Domain Adaptation | | [![arXiv](https://img.shields.io/badge/arXiv-1805.08019-b31b1b.svg)](https://arxiv.org/abs/1805.08019) | | | 8538 | Federated Adaptive Prompt Tuning for Multi-Domain Collaborative Learning | | | | | 9765 | Machine-Created Universal Language for Cross-Lingual Transfer | | [![arXiv](https://img.shields.io/badge/arXiv-1712.01813-b31b1b.svg)](https://arxiv.org/abs/1712.01813) | | | 5628 | Rethinking Mesh Watermark: Towards Highly Robust and Adaptable Deep 3D Mesh Watermarking | | | | | 11512 | Minimal Macro-based Rewritings of Formal Languages: Theory and Applications in Ontology Engineering (and Beyond) | | [![arXiv](https://img.shields.io/badge/arXiv-2001.09029-b31b1b.svg)](https://arxiv.org/abs/2001.09029) | | | 7037 | Journey to the Center of the Knowledge Neurons: Discoveries of Language-Independent Knowledge Neurons and Degenerate Knowledge Neurons | | [![arXiv](https://img.shields.io/badge/arXiv-2012.06460-b31b1b.svg)](https://arxiv.org/abs/2012.06460) | | | 2149 | TREE-G: Decision Trees Contesting Graph Neural Networks | | | | | 2733 | PSC-CPI: Multi-Scale Protein Sequence-Structure Contrasting for Efficient and Generalizable Compound-Protein Interaction Prediction | | | | | 4440 | Reproduce, Replicate, Reevaluate. The Long but Safe Way to Extend Machine Learning Methods | | [![arXiv](https://img.shields.io/badge/arXiv-1304.3674-b31b1b.svg)](https://arxiv.org/abs/1304.3674) | | | 7744 | Span Graph Transformer for Document-Level Named Entity Recognition | | [![arXiv](https://img.shields.io/badge/arXiv-2111.15436-b31b1b.svg)](https://arxiv.org/abs/2111.15436) | | | 13208 | MASTER: Market-guided Stock Transformer for Stock Price Forecasting | | | | | 9587 | Knowledge Graph Error Detection with Contrastive Confidence Adaption | | [![arXiv](https://img.shields.io/badge/arXiv-2312.12108-b31b1b.svg)](https://arxiv.org/abs/2312.12108) | | | 2765 | Responding to the Call: Exploring Automatic Music Composition using a Knowledge-Enhanced Model | | | | | 546 | Spatial Transform Decoupling for Oriented Object Detection | | [![arXiv](https://img.shields.io/badge/arXiv-2303.00542-b31b1b.svg)](https://arxiv.org/abs/2303.00542) | | | 11396 | Improved Graph Contrastive Learning for Short Text Classification | | | | | 3037 | Coverage-Guaranteed Prediction Sets for Out-of-Distribution Data | | [![arXiv](https://img.shields.io/badge/arXiv-2304.06158-b31b1b.svg)](https://arxiv.org/abs/2304.06158) | | | 7021 | Music Style Transfer with Time-Varying Inversion of Diffusion Models | | [![arXiv](https://img.shields.io/badge/arXiv-2312.09008-b31b1b.svg)](https://arxiv.org/abs/2312.09008) | | | 4364 | Semantic-guided Generative Image Augmentation Method with Diffusion Models for Image Classification | | [![arXiv](https://img.shields.io/badge/arXiv-2302.02070-b31b1b.svg)](https://arxiv.org/abs/2302.02070) | | | 3580 | Patch-Wise Graph Contrastive Learning for Image Translation | | [![arXiv](https://img.shields.io/badge/arXiv-2312.08223-b31b1b.svg)](https://arxiv.org/abs/2312.08223) | | | 6465 | Test-Time Adaptation via Style and Structure Guidance for Histological Image Registration | | | | | 5931 | DocFormerv2: Local Features for Document Understanding | | | | | 5970 | Diverse and Stable 2D Diffusion Guided Text to 3D Generation with Noise Recalibration | | [![arXiv](https://img.shields.io/badge/arXiv-2312.10120-b31b1b.svg)](https://arxiv.org/abs/2312.10120) | | | 12074 | Interactive Visual Task Learning for Robots | | [![arXiv](https://img.shields.io/badge/arXiv-2308.03620-b31b1b.svg)](https://arxiv.org/abs/2308.03620) | | | 8526 | Visual Chain-of-thought Prompting for Knowledge-based Visual Reasoning | | [![arXiv](https://img.shields.io/badge/arXiv-2309.01155-b31b1b.svg)](https://arxiv.org/abs/2309.01155) | | | 13397 | DMMR: Cross-Subject Domain Generalization for EEG-based Emotion Recognition via Denoising Mixed Mutual Reconstruction | | | | | 1004 | RL-SeqISP: Reinforcement Learning-based Sequential Optimization for Image Signal Processing | | | | | 3421 | Multi-Modal Prompting for Open-Vocabulary Video Visual Relationship Detection | | [![arXiv](https://img.shields.io/badge/arXiv-2302.00268-b31b1b.svg)](https://arxiv.org/abs/2302.00268) | | | 791 | Progressive Painterly Image Harmonization from Low-Level Styles to High-Level Styles | | [![arXiv](https://img.shields.io/badge/arXiv-2312.10263-b31b1b.svg)](https://arxiv.org/abs/2312.10263) | | | 7736 | Incomplete Contrastive Multi-View Clustering with High-Confidence Guiding | | [![arXiv](https://img.shields.io/badge/arXiv-2211.00409-b31b1b.svg)](https://arxiv.org/abs/2211.00409) | | | 2715 | Symbolic Numeric Planning with Patterns | | | | ================================================ FILE: sections/2024/main/201_400.md ================================================ # AAAI-2024-Papers
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## 201-400 papers ![Section Papers](https://img.shields.io/badge/Section%20Papers-200-42BA16) ![Preprint Papers](https://img.shields.io/badge/Preprint%20Papers-113-b31b1b) ![Papers with Open Code](https://img.shields.io/badge/Papers%20with%20Open%20Code-83-1D7FBF) ![Papers with Video](https://img.shields.io/badge/Papers%20with%20Video-2-FF0000) | :id: | **Title** | **Repo** | **Paper** | **Video** | |------|-----------|:--------:|:---------:|:---------:| | 7531 | Balancing Humans and Machines: A Study on Integration Scale and Its Impact on Collaborative Performance | [![GitHub](https://img.shields.io/github/stars/Ticus0228/HM-decision-making?style=flat)](https://github.com/Ticus0228/HM-decision-making) | :heavy_minus_sign: | :heavy_minus_sign: | | 2486 | FlightBERT++: A Non-Autoregressive Multi-Horizon Flight Trajectory Prediction Framework | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2305.01658-b31b1b.svg)](https://arxiv.org/abs/2305.01658) | :heavy_minus_sign: | | 1989 | When to Grow? A Fitting Risk-Aware Policy for Layer Growing in Deep Neural Networks | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2401.03104-b31b1b.svg)](https://arxiv.org/abs/2401.03104) | :heavy_minus_sign: | | 3009 | A Cross-View Hierarchical Graph Learning Hypernetwork for Skill Demand-Supply Joint Prediction | [![GitHub](https://img.shields.io/github/stars/usail-hkust/Skill-Demand-Supply-Joint-Prediction?style=flat)](https://github.com/usail-hkust/Skill-Demand-Supply-Joint-Prediction) | [![arXiv](https://img.shields.io/badge/arXiv-2401.17838-b31b1b.svg)](https://arxiv.org/abs/2401.17838) | :heavy_minus_sign: | | 236 | Instance-Aware Multi-Camera 3D Object Detection with Structural Priors Mining and Self-Boosting Learning | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.08004-b31b1b.svg)](https://arxiv.org/abs/2312.08004) | :heavy_minus_sign: | | 4772 | Agile Multi-Source-Free Domain Adaptation | [![GitHub](https://img.shields.io/github/stars/TL-UESTC/Bi-ATEN?style=flat)](https://github.com/TL-UESTC/Bi-ATEN) | :heavy_minus_sign: | :heavy_minus_sign: | | 2979 | Non-Exemplar Domain Incremental Object Detection via Learning Domain Bias | [![GitHub](https://img.shields.io/github/stars/SONGX1997/LDB?style=flat)](https://github.com/SONGX1997/LDB) | :heavy_minus_sign: | :heavy_minus_sign: | | 7301 | QuerySum: A Multi-Document Query-Focused Summarization Dataset Augmented with Similar Query Clusters | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 3325 | Noise-Free Optimization in Early Training Steps for Image Super-Resolution | [![GitHub](https://img.shields.io/github/stars/2minkyulee/ECO?style=flat)](https://github.com/2minkyulee/ECO) | [![arXiv](https://img.shields.io/badge/arXiv-2312.17526-b31b1b.svg)](https://arxiv.org/abs/2312.17526) | :heavy_minus_sign: | | 8774 | Backdoor Attacks via Machine Unlearning | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 2255 | AvatarVerse: High-Quality and Stable 3D Avatar Creation from Text and Pose | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://avatarverse3d.github.io/)
[![GitHub](https://img.shields.io/github/stars/bytedance/AvatarVerse?style=flat)](https://github.com/bytedance/AvatarVerse) | [![arXiv](https://img.shields.io/badge/arXiv-2308.03610-b31b1b.svg)](https://arxiv.org/abs/2308.03610) | :heavy_minus_sign: | | 3957 | One Step Closer to Unbiased Aleatoric Uncertainty Estimation | [![GitHub](https://img.shields.io/github/stars/wz16/DVA?style=flat)](https://github.com/wz16/DVA) | [![arXiv](https://img.shields.io/badge/arXiv-2312.10469-b31b1b.svg)](https://arxiv.org/abs/2312.10469) | :heavy_minus_sign: | | 10235 | Make Prompts Adaptable: Bayesian Modeling for Vision-Language Prompt Learning with Data-Dependent Prior | [![GitHub](https://img.shields.io/github/stars/youngjae-cho/APP?style=flat)](https://github.com/youngjae-cho/APP) | [![arXiv](https://img.shields.io/badge/arXiv-2401.06799-b31b1b.svg)](https://arxiv.org/abs/2401.06799) | :heavy_minus_sign: | | 2649 | Contributing Dimension Structure of Deep Feature for Coreset Selection | [![GitHub](https://img.shields.io/github/stars/Vivian-wzj/contributing-dimension-structure?style=flat)](https://github.com/Vivian-wzj/contributing-dimension-structure) | [![arXiv](https://img.shields.io/badge/arXiv-2401.16193-b31b1b.svg)](https://arxiv.org/abs/2401.16193) | :heavy_minus_sign: | | 3794 | Joint Learning Neuronal Skeleton and Brain Circuit Topology with Permutation Invariant Encoders for Neuron Classification | [![GitHub](https://img.shields.io/github/stars/WHUminghui/NeuNet?style=flat)](https://github.com/WHUminghui/NeuNet) | [![arXiv](https://img.shields.io/badge/arXiv-2312.14518-b31b1b.svg)](https://arxiv.org/abs/2312.14518) | :heavy_minus_sign: | | 3042 | A Label Disambiguation-based Multimodal Massive Multiple Instance Learning Approach for Immune Repertoire Classification | [![GitHub](https://img.shields.io/github/stars/Josie-xufan/LaDM3IL?style=flat)](https://github.com/Josie-xufan/LaDM3IL) | :heavy_minus_sign: | :heavy_minus_sign: | | 3970 | ColNeRF: Collaboration for Generalizable Sparse Input Neural Radiance Field | [![GitHub](https://img.shields.io/github/stars/eezkni/ColNeRF?style=flat)](https://github.com/eezkni/ColNeRF) | [![arXiv](https://img.shields.io/badge/arXiv-2312.09095-b31b1b.svg)](https://arxiv.org/abs/2312.09095) | :heavy_minus_sign: | | 2262 | Reverse Multi-Choice Dialogue Commonsense Inference with Graph-of-Thought | [![GitHub](https://img.shields.io/github/stars/ZhengL00/ReX-GoT?style=flat)](https://github.com/ZhengL00/ReX-GoT) | [![arXiv](https://img.shields.io/badge/arXiv-2312.15291-b31b1b.svg)](https://arxiv.org/abs/2312.15291) | :heavy_minus_sign: | | 7509 | Can Large Language Models Serve as Rational Players in Game Theory? A Systematic Analysis | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.05488-b31b1b.svg)](https://arxiv.org/abs/2312.05488) | :heavy_minus_sign: | | 611 | Say Anything with Any Style | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 5357 | Inducing Clusters Deep Kernel Gaussian Process for Longitudinal Data | [![GitHub](https://img.shields.io/github/stars/junjieliang672/ICDKGP?style=flat)](https://github.com/junjieliang672/ICDKGP) | :heavy_minus_sign: | :heavy_minus_sign: | | 2672 | Learning Deformable Hypothesis Sampling for Accurate PatchMatch Multi-View Stereo | [![GitHub](https://img.shields.io/github/stars/Geo-Tell/DS-PMNet?style=flat)](https://github.com/Geo-Tell/DS-PMNet) | [![arXiv](https://img.shields.io/badge/arXiv-2312.15970-b31b1b.svg)](https://arxiv.org/abs/2312.15970) | :heavy_minus_sign: | | 10901 | Semi-Supervised Open-World Object Detection | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 737 | Decoupling Representation and Knowledge for Few-Shot Intent Classification and Slot Filling | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.13495-b31b1b.svg)](https://arxiv.org/abs/2312.13495) | :heavy_minus_sign: | | 1973 | QI-IRA: Quantum-Inspired Interactive Ranking Aggregation for Person Re-Identification | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 1733 | Boosting Adversarial Transferability across Model Genus by Deformation-Constrained Warping | [![GitHub](https://img.shields.io/github/stars/LinQinLiang/DeCoWA?style=flat)](https://github.com/LinQinLiang/DeCoWA) | [![arXiv](https://img.shields.io/badge/arXiv-2402.03951-b31b1b.svg)](https://arxiv.org/abs/2402.03951) | :heavy_minus_sign: | | 3480 | What Makes Good Collaborative Views? Contrastive Mutual Information Maximization for Multi-Agent Perception | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 151 | Towards Compact 3D Representations via Point Feature Enhancement Masked Autoencoders | [![GitHub](https://img.shields.io/github/stars/zyh16143998882/AAAI24-PointFEMAE?style=flat)](https://github.com/zyh16143998882/AAAI24-PointFEMAE) | [![arXiv](https://img.shields.io/badge/arXiv-2312.10726-b31b1b.svg)](https://arxiv.org/abs/2312.10726) | :heavy_minus_sign: | | 7782 | UMIE: Unified Multimodal Information Extraction with Instruction Tuning | [![GitHub](https://img.shields.io/github/stars/ZUCC-AI/UMIE?style=flat)](https://github.com/ZUCC-AI/UMIE) | [![arXiv](https://img.shields.io/badge/arXiv-2401.03082-b31b1b.svg)](https://arxiv.org/abs/2401.03082) | :heavy_minus_sign: | | 588 | Exploring Base-Class Suppression with Prior Guidance for Bias-Free One-Shot Object Detection | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 1740 | Generalizing across Temporal Domains with Koopman Operators | [![GitHub](https://img.shields.io/github/stars/HardworkingPearl/TKNets-official?style=flat)](https://github.com/HardworkingPearl/TKNets-official) | [![arXiv](https://img.shields.io/badge/arXiv-2402.07834-b31b1b.svg)](https://arxiv.org/abs/2402.07834) | :heavy_minus_sign: | | 2267 | eTag: Class-Incremental Learning via Embedding Distillation and Task-Oriented Generation | [![GitHub](https://img.shields.io/github/stars/libo-huang/eTag?style=flat)](https://github.com/libo-huang/eTag) | :heavy_minus_sign: | :heavy_minus_sign: | | 3971 | Progressively Knowledge Distillation via Re-Parameterizing Diffusion Reverse Process | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 2801 | A Generalized Shuffle Framework for Privacy Amplification: Strengthening Privacy Guarantees and Enhancing Utility | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.14388-b31b1b.svg)](https://arxiv.org/abs/2312.14388) | :heavy_minus_sign: | | 2967 | Point-to-Spike Residual Learning for Energy-Efficient 3D Point Cloud Classification | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 9433 | SALSA: Semantically-Aware Latent Space Autoencoder | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2310.02744-b31b1b.svg)](https://arxiv.org/abs/2310.02744) | :heavy_minus_sign: | | 11029 | SAT-based Techniques for Lexicographically Smallest Finite Models | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 631 | Joint Demosaicing and Denoising for Spike Camera | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 1260 | Does Few-Shot Learning Suffer from Backdoor Attacks? | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2401.01377-b31b1b.svg)](https://arxiv.org/abs/2401.01377) | :heavy_minus_sign: | | 240 | O2-Recon: Completing 3D Reconstruction of Occluded Objects in the Scene with a Pre-Trained 2D Diffusion Model | [![GitHub](https://img.shields.io/github/stars/THU-LYJ-Lab/O2-Recon?style=flat)](https://github.com/THU-LYJ-Lab/O2-Recon) | [![arXiv](https://img.shields.io/badge/arXiv-2308.09591-b31b1b.svg)](https://arxiv.org/abs/2308.09591) | :heavy_minus_sign: | | 3916 | Learning from Polar Representation: An Extreme-Adaptive Model for Long-Term Time Series Forecasting | [![GitHub](https://img.shields.io/github/stars/davidanastasiu/dan?style=flat)](https://github.com/davidanastasiu/dan) | [![arXiv](https://img.shields.io/badge/arXiv-2312.08763-b31b1b.svg)](https://arxiv.org/abs/2312.08763) | :heavy_minus_sign: | | 2475 | TF-CLIP: Learning Text-Free CLIP for Video-based Person Re-Identification | [![GitHub](https://img.shields.io/github/stars/AsuradaYuci/TF-CLIP?style=flat)](https://github.com/AsuradaYuci/TF-CLIP) | [![arXiv](https://img.shields.io/badge/arXiv-2312.09627-b31b1b.svg)](https://arxiv.org/abs/2312.09627) | :heavy_minus_sign: | | 4273 | Suppressing Uncertainty in Gaze Estimation | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 2969 | Rethinking Peculiar Images by Diffusion Models: Revealing Local Minima's Role | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 4330 | RoPDA: Robust Prompt-based Data Augmentation for Low-Resource Named Entity Recognition | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2307.07417-b31b1b.svg)](https://arxiv.org/abs/2307.07417) | :heavy_minus_sign: | | 4260 | Composite Sketch+Text Queries for Retrieving Objects with Elusive Names and Complex Interactions | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 4436 | How to Protect Copyright Data in Optimization of Large Language Models? | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2308.12247-b31b1b.svg)](https://arxiv.org/abs/2308.12247) | :heavy_minus_sign: | | 1652 | Dialogue for Prompting: A Policy-Gradient-based Discrete Prompt Generation for Few-Shot Learning | [![GitHub](https://img.shields.io/github/stars/czx-li/DP2O?style=flat)](https://github.com/czx-li/DP2O) | [![arXiv](https://img.shields.io/badge/arXiv-2308.07272-b31b1b.svg)](https://arxiv.org/abs/2308.07272) | :heavy_minus_sign: | | 3140 | Runtime vs. Extracted Proof Size: An Exponential Gap for CDCL on QBFs | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 7298 | Transformer as Linear Expansion of Learngene | [![GitHub](https://img.shields.io/github/stars/AlphaXia/TLEG?style=flat)](https://github.com/AlphaXia/TLEG) | [![arXiv](https://img.shields.io/badge/arXiv-2312.05614-b31b1b.svg)](https://arxiv.org/abs/2312.05614) | :heavy_minus_sign: | | 10037 | Transitivity-Preserving Graph Representation Learning for Bridging Local Connectivity and Role-based Similarity | [![GitHub](https://img.shields.io/github/stars/NSLab-CUK/Unified-Graph-Transformer?style=flat)](https://github.com/NSLab-CUK/Unified-Graph-Transformer) | [![arXiv](https://img.shields.io/badge/arXiv-2308.09517-b31b1b.svg)](https://arxiv.org/abs/2308.09517) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=pq-lzrBDqBY) | | 2661 | A Diffusion-based Framework for Multi-Class Anomaly Detection | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://lewandofskee.github.io/projects/diad/)
[![GitHub](https://img.shields.io/github/stars/lewandofskee/DiAD?style=flat)](https://github.com/lewandofskee/DiAD) | [![arXiv](https://img.shields.io/badge/arXiv-2312.06607-b31b1b.svg)](https://arxiv.org/abs/2312.06607) | :heavy_minus_sign: | | 5168 | Cross-Sentence Gloss Consistency for Continuous Sign Language Recognition | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 2539 | Online Restless Multi-Armed Bandits with Long-Term Fairness Constraints | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.10303-b31b1b.svg)](https://arxiv.org/abs/2312.10303) | :heavy_minus_sign: | | 9901 | M2SD: Multiple Mixing Self-Distillation for Few-Shot Class-Incremental Learning | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 3670 | S3A: Towards Realistic Zero-Shot Classification via Self Structural Semantic Alignment | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 2225 | A Provably Accurate Randomized Sampling Algorithm for Logistic Regression | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 6142 | Towards Squeezing-Averse Virtual Try-On via Sequential Deformation | [![GitHub](https://img.shields.io/github/stars/SHShim0513/SD-VITON?style=flat)](https://github.com/SHShim0513/SD-VITON) | [![arXiv](https://img.shields.io/badge/arXiv-2312.15861-b31b1b.svg)](https://arxiv.org/abs/2312.15861) | :heavy_minus_sign: | | 6521 | BARET: Balanced Attention based Real Image Editing Driven by Target-Text Inversion | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.05482-b31b1b.svg)](https://arxiv.org/abs/2312.05482) | :heavy_minus_sign: | | 1147 | HORIZON: High-Resolution Semantically Controlled Panorama Synthesis | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2210.04522-b31b1b.svg)](https://arxiv.org/abs/2210.04522) | :heavy_minus_sign: | | 4362 | Double-Layer Hybrid-Label Identification Feature Selection for Multi-View Multi-Label Learning | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 850 | Open-Set Facial Expression Recognition | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2401.12507-b31b1b.svg)](https://arxiv.org/abs/2401.12507) | :heavy_minus_sign: | | 1793 | SimCS: Simulation for Domain Incremental Online Continual Segmentation | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2211.16234-b31b1b.svg)](https://arxiv.org/abs/2211.16234) | :heavy_minus_sign: | | 3253 | Variance-Insensitive and Target-Preserving Mask Refinement for Interactive Image Segmentation | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.14387-b31b1b.svg)](https://arxiv.org/abs/2312.14387) | :heavy_minus_sign: | | 4739 | DCLP: Neural Architecture Predictor with Curriculum Contrastive Learning | [![GitHub](https://img.shields.io/github/stars/Zhengsh123/DCLP?style=flat)](https://github.com/Zhengsh123/DCLP) | [![arXiv](https://img.shields.io/badge/arXiv-2302.13020-b31b1b.svg)](https://arxiv.org/abs/2302.13020) | :heavy_minus_sign: | | 781 | UniCATS: A Unified Context-Aware Text-to-Speech Framework with Contextual VQ-Diffusion and Vocoding | [![GitHub](https://img.shields.io/github/stars/francislata/unicats?style=flat)](https://github.com/francislata/unicats) | [![arXiv](https://img.shields.io/badge/arXiv-2306.07547-b31b1b.svg)](https://arxiv.org/abs/2306.07547) | :heavy_minus_sign: | | 3889 | Homophily-Related: Adaptive Hybrid Graph Filter for Multi-View Graph Clustering | [![GitHub](https://img.shields.io/github/stars/ZichenWen1/AHGFC?style=flat)](https://github.com/ZichenWen1/AHGFC) | [![arXiv](https://img.shields.io/badge/arXiv-2401.02682-b31b1b.svg)](https://arxiv.org/abs/2401.02682) | :heavy_minus_sign: | | 8344 | NaRuto: Automatically Acquiring Planning Models from Narrative Texts | [![GitHub](https://img.shields.io/github/stars/RichieLee93/NaRuto?style=flat)](https://github.com/RichieLee93/NaRuto) | :heavy_minus_sign: | :heavy_minus_sign: | | 10810 | GLDL: Graph Label Distribution Learning | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 1881 | CoSTA: End-to-End Comprehensive Space-Time Entanglement for Spatio-Temporal Video Grounding | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 4289 | FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heterogeneity in Federated Learning | [![GitHub](https://img.shields.io/github/stars/TsingZ0/FedTGP?style=flat)](https://github.com/TsingZ0/FedTGP) | [![arXiv](https://img.shields.io/badge/arXiv-2401.03230-b31b1b.svg)](https://arxiv.org/abs/2401.03230) | :heavy_minus_sign: | | 3708 | Generalized Planning in PDDL Domains with Pretrained Large Language Models | [![GitHub](https://img.shields.io/github/stars/tomsilver/llm-genplan?style=flat)](https://github.com/tomsilver/llm-genplan) | [![arXiv](https://img.shields.io/badge/arXiv-2305.11014-b31b1b.svg)](https://arxiv.org/abs/2305.11014) | :heavy_minus_sign: | | 10601 | Combining Multiple Supervision for Robust Zero-Shot Dense Retrieval | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 2501 | DPA-P2PNet: Deformable Proposal-Aware P2PNet for Accurate Point-based Cell Detection | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2303.02602-b31b1b.svg)](https://arxiv.org/abs/2303.02602) | :heavy_minus_sign: | | 2835 | SEA-GWNN: Simple and Effective Adaptive Graph Wavelet Neural Network | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 1521 | Navigating Open Set Scenarios for Skeleton-based Action Recognition | [![GitHub](https://img.shields.io/github/stars/KPeng9510/OS-SAR?style=flat)](https://github.com/KPeng9510/OS-SAR) | [![arXiv](https://img.shields.io/badge/arXiv-2312.06330-b31b1b.svg)](https://arxiv.org/abs/2312.06330) | :heavy_minus_sign: | | 3018 | E2HQV: High-Quality Video Generation from Event Camera via Theory-Inspired Model-Aided Deep Learning | [![GitHub](https://img.shields.io/github/stars/VincentQQu/E2HQV?style=flat)](https://github.com/VincentQQu/E2HQV) | [![arXiv](https://img.shields.io/badge/arXiv-2401.08117-b31b1b.svg)](https://arxiv.org/abs/2401.08117) | :heavy_minus_sign: | | 3284 | Parallel Empirical Evaluations: Resilience despite Concurrency | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 3621 | ANEDL: Adaptive Negative Evidential Deep Learning for Open-Set Semi-Supervised Learning | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2303.12091-b31b1b.svg)](https://arxiv.org/abs/2303.12091) | :heavy_minus_sign: | | 453 | Test-Time Personalization with Meta Prompt for Gaze Estimation | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2401.01577-b31b1b.svg)](https://arxiv.org/abs/2401.01577) | :heavy_minus_sign: | | 3737 | IINet: Implicit Intra-Inter Information Fusion for Real-Time Stereo Matching | [![GitHub](https://img.shields.io/github/stars/blindwatch/IINet?style=flat)](https://github.com/blindwatch/IINet) | :heavy_minus_sign: | :heavy_minus_sign: | | 2847 | ALISON: Fast and Effective Stylometric Authorship Obfuscation | [![GitHub](https://img.shields.io/github/stars/EricX003/ALISON?style=flat)](https://github.com/EricX003/ALISON) | [![arXiv](https://img.shields.io/badge/arXiv-2402.00835-b31b1b.svg)](https://arxiv.org/abs/2402.00835) | :heavy_minus_sign: | | 3415 | LION: Implicit Vision Prompt Tuning | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2303.09992-b31b1b.svg)](https://arxiv.org/abs/2303.09992) | :heavy_minus_sign: | | 1522 | Diffusion Language-Shapelets for Semi-Supervised Time-Series Classification | [![GitHub](https://img.shields.io/github/stars/qianlima-lab/DiffShape?style=flat)](https://github.com/qianlima-lab/DiffShape) | :heavy_minus_sign: | :heavy_minus_sign: | | 4674 | Deep Structural Knowledge Exploitation and Synergy for Estimating Node Importance Value on Heterogeneous Information Networks | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2402.12411-b31b1b.svg)](https://arxiv.org/abs/2402.12411) | :heavy_minus_sign: | | 7415 | Bi-ViT: Pushing the Limit of Vision Transformer Quantization | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2305.12354-b31b1b.svg)](https://arxiv.org/abs/2305.12354) | :heavy_minus_sign: | | 11917 | Almost Envy-Free Allocations of Indivisible Goods or Chores with Entitlements | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2305.16081-b31b1b.svg)](https://arxiv.org/abs/2305.16081) | :heavy_minus_sign: | | 4722 | Unraveling Batch Normalization for Realistic Test-Time Adaptation | [![GitHub](https://img.shields.io/github/stars/kiwi12138/RealisticTTA?style=flat)](https://github.com/kiwi12138/RealisticTTA) | [![arXiv](https://img.shields.io/badge/arXiv-2312.09486-b31b1b.svg)](https://arxiv.org/abs/2312.09486) | :heavy_minus_sign: | | 5576 | Inspecting Prediction Confidence for Detecting Black-Box Backdoor Attacks | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 3950 | Layer Compression of Deep Networks with Straight Flows | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 4000 | Spherical Pseudo-Cylindrical Representation for Omnidirectional Image Super-Resolution | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 3711 | Task-Free Dynamic Sparse Vision Transformer for Continual Learning | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 12912 | TriSampler: A Better Negative Sampling Principle for Dense Retrieval | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2402.11855-b31b1b.svg)](https://arxiv.org/abs/2402.11855) | :heavy_minus_sign: | | 1956 | SuperJunction: Learning-based Junction Detection for Retinal Image Registration | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 10590 | Towards more Faithful Natural Language Explanation using Multi-Level Contrastive Learning in VQA | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.13594-b31b1b.svg)](https://arxiv.org/abs/2312.13594) | :heavy_minus_sign: | | 2861 | NeRF-LiDAR: Generating Realistic LiDAR Point Clouds with Neural Radiance Fields | [![GitHub](https://img.shields.io/github/stars/fudan-zvg/NeRF-LiDAR?style=flat)](https://github.com/fudan-zvg/NeRF-LiDAR) | [![arXiv](https://img.shields.io/badge/arXiv-2304.14811-b31b1b.svg)](https://arxiv.org/abs/2304.14811) | :heavy_minus_sign: | | 5895 | A Pre-convolved Representation for Plug-and-Play Neural Illumination Fields | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 5720 | ArtBank: Artistic Style Transfer with Pre-trained Diffusion Model and Implicit Style Prompt Bank | [![GitHub](https://img.shields.io/github/stars/Jamie-Cheung/ArtBank?style=flat)](https://github.com/Jamie-Cheung/ArtBank) | [![arXiv](https://img.shields.io/badge/arXiv-2312.06135-b31b1b.svg)](https://arxiv.org/abs/2312.06135) | :heavy_minus_sign: | | 10066 | Complexity of Neural Network Training and ETR: Extensions with Effectively Continuous Functions | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2305.11833-b31b1b.svg)](https://arxiv.org/abs/2305.11833) | :heavy_minus_sign: | | 2681 | Identification of Causal Structure with Latent Variables based on Higher Order Cumulants | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.11934-b31b1b.svg)](https://arxiv.org/abs/2312.11934) | :heavy_minus_sign: | | 7185 | Approximation Algorithms for Preference Aggregation using CP-Nets | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.09162-b31b1b.svg)](https://arxiv.org/abs/2312.09162) | :heavy_minus_sign: | | 10058 | Uncertainty Quantification for Forward and Inverse Problems of PDEs via Latent Global Evolution | [![GitHub](https://img.shields.io/github/stars/AI4Science-WestlakeU/le-pde-uq?style=flat)](https://github.com/AI4Science-WestlakeU/le-pde-uq) | [![arXiv](https://img.shields.io/badge/arXiv-2402.08383-b31b1b.svg)](https://arxiv.org/abs/2402.08383) | :heavy_minus_sign: | | 193 | Learning from History: Task-Agnostic Model Contrastive Learning for Image Restoration | [![GitHub](https://img.shields.io/github/stars/Aitical/MCLIR?style=flat)](https://github.com/Aitical/MCLIR) | [![arXiv](https://img.shields.io/badge/arXiv-2309.06023-b31b1b.svg)](https://arxiv.org/abs/2309.06023) | :heavy_minus_sign: | | 4889 | Engineering an Exact Pseudo-Boolean Model Counter | [![GitHub](https://img.shields.io/github/stars/grab/pbcount?style=flat)](https://github.com/grab/pbcount) | [![arXiv](https://img.shields.io/badge/arXiv-2312.12341-b31b1b.svg)](https://arxiv.org/abs/2312.12341) | :heavy_minus_sign: | | 2093 | HR-Pro: Point-Supervised Temporal Action Localization via Hierarchical Reliability Propagation | [![GitHub](https://img.shields.io/github/stars/pipixin321/HR-Pro?style=flat)](https://github.com/pipixin321/HR-Pro) | [![arXiv](https://img.shields.io/badge/arXiv-2308.12608-b31b1b.svg)](https://arxiv.org/abs/2308.12608) | :heavy_minus_sign: | | 5619 | X4D-SceneFormer: Enhanced Scene Understanding on 4D Point Cloud Videos through Cross-Modal Knowledge Transfer | [![GitHub](https://img.shields.io/github/stars/jinglinglingling/X4D?style=flat)](https://github.com/jinglinglingling/X4D) | [![arXiv](https://img.shields.io/badge/arXiv-2312.07378-b31b1b.svg)](https://arxiv.org/abs/2312.07378) | :heavy_minus_sign: | | 510 | When do Program-of-thought Works for Reasoning? | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 5100 | T-SciQ: Teaching Multimodal Chain-of-thought Reasoning via Large Language Model Signals for Science Question Answering | [![GitHub](https://img.shields.io/github/stars/T-SciQ/T-SciQ?style=flat)](https://github.com/T-SciQ/T-SciQ) | [![arXiv](https://img.shields.io/badge/arXiv-2305.03453-b31b1b.svg)](https://arxiv.org/abs/2305.03453) | :heavy_minus_sign: | | 7115 | Monocular 3D Hand Mesh Recovery via Dual Noise Estimation | [![GitHub](https://img.shields.io/github/stars/hanhuili/DNE4Hand?style=flat)](https://github.com/hanhuili/DNE4Hand) | [![arXiv](https://img.shields.io/badge/arXiv-2312.15916-b31b1b.svg)](https://arxiv.org/abs/2312.15916) | :heavy_minus_sign: | | 8719 | Effective Comparative Prototype Hashing for Unsupervised Domain Adaptation | [![GitHub](https://img.shields.io/github/stars/christinecui/CPH?style=flat)](https://github.com/christinecui/CPH) | :heavy_minus_sign: | :heavy_minus_sign: | | 1586 | Neuromorphic Event Signal-Driven Network for Video De-Raining | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 1634 | Navigating Real-World Partial Label Learning: Unveiling Fine-Grained Images with Attributes | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 8806 | Spatial-Related Sensors Matters: 3D Human Motion Reconstruction Assisted with Textual Semantics | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2401.05412-b31b1b.svg)](https://arxiv.org/abs/2401.05412) | :heavy_minus_sign: | | 10835 | G-NAS: Generalizable Neural Architecture Search for Single Domain Generalization Object Detection | [![GitHub](https://img.shields.io/github/stars/wufan-cse/gnas?style=flat)](https://github.com/wufan-cse/gnas) | [![arXiv](https://img.shields.io/badge/arXiv-2402.04672-b31b1b.svg)](https://arxiv.org/abs/2402.04672) | :heavy_minus_sign: | | 3536 | Multi-Domain Deep Learning from a Multi-View Perspective for Cross-Border E-Commerce Search | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 5568 | Binding-Adaptive Diffusion Models for Structure-based Drug Design | [![GitHub](https://img.shields.io/github/stars/YangLing0818/BindDM?style=flat)](https://github.com/YangLing0818/BindDM) | :heavy_minus_sign: | :heavy_minus_sign: | | 3437 | Gaussian Mixture Proposals with Pull-Push Learning Scheme to Capture Diverse Events for Weakly Supervised Temporal Video Grounding | [![GitHub](https://img.shields.io/github/stars/sunoh-kim/pps?style=flat)](https://github.com/sunoh-kim/pps) | [![arXiv](https://img.shields.io/badge/arXiv-2312.16388-b31b1b.svg)](https://arxiv.org/abs/2312.16388) | :heavy_minus_sign: | | 4522 | Knowledge Graph Prompting for Multi-Document Question Answering | [![GitHub](https://img.shields.io/github/stars/YuWVandy/KG-LLM-MDQA?style=flat)](https://github.com/YuWVandy/KG-LLM-MDQA) | [![arXiv](https://img.shields.io/badge/arXiv-2308.11730-b31b1b.svg)](https://arxiv.org/abs/2308.11730) | :heavy_minus_sign: | | 3429 | Multiscale Low-Frequency Memory Network for Improved Feature Extraction in Convolutional Neural Networks | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 5399 | Minimum Coverage Sets for Training Robust Ad Hoc Teamwork Agents | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2308.09595-b31b1b.svg)](https://arxiv.org/abs/2308.09595) | :heavy_minus_sign: | | 9463 | Learning Multi-Object Positional Relationships via Emergent Communication | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2302.08084-b31b1b.svg)](https://arxiv.org/abs/2302.08084) | :heavy_minus_sign: | | 13307 | Fusion-Vital: Video-RF Fusion Transformer for Advanced Remote Physiological Measurement | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 6865 | Spiking NeRF: Representing the Real-World Geometry by a Discontinuous Representation | [![GitHub](https://img.shields.io/github/stars/liaozhanfeng/Spiking-NeRF?style=flat)](https://github.com/liaozhanfeng/Spiking-NeRF) | [![arXiv](https://img.shields.io/badge/arXiv-2311.09077-b31b1b.svg)](https://arxiv.org/abs/2311.09077) | :heavy_minus_sign: | | 11229 | Swift-Mapping: Online Neural Implicit Dense Mapping in Urban Scenes | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 2785 | Three Heads are Better than One: Improving Cross-Domain NER with Progressive Decomposed Network | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 6862 | Probabilistic Neural Circuits | [![GitHub](https://img.shields.io/github/stars/pedrozudo/ProbabilisticNeuralCircuits?style=flat)](https://github.com/pedrozudo/ProbabilisticNeuralCircuits) | :heavy_minus_sign: | :heavy_minus_sign: | | 598 | ExpCLIP: Bridging Text and Facial Expressions via Semantic Alignment | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2308.14448-b31b1b.svg)](https://arxiv.org/abs/2308.14448) | :heavy_minus_sign: | | 2606 | Improving Diffusion-based Image Restoration with Error Contraction and Error Correction | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 192 | Geometry-Guided Domain Generalization for Monocular 3D Object Detection | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 4696 | Learning the Topology and Behavior of Discrete Dynamical Systems | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2402.11686-b31b1b.svg)](https://arxiv.org/abs/2402.11686) | :heavy_minus_sign: | | 8126 | Any-Stereo: Arbitrary Scale Disparity Estimation for Iterative Stereo Matching | [![GitHub](https://img.shields.io/github/stars/Zhaohuai-L/Any-Stereo?style=flat)](https://github.com/Zhaohuai-L/Any-Stereo) | :heavy_minus_sign: | :heavy_minus_sign: | | 8895 | Robust Policy Learning via Offline Skill Diffusion | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 2084 | EAN: An Efficient Attention Module Guided by Normalization for Deep Neural Networks | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 3313 | Learning to Optimize Permutation Flow Shop Scheduling via Graph-based Imitation Learning | [![GitHub](https://img.shields.io/github/stars/lokali/PFSS-IL?style=flat)](https://github.com/lokali/PFSS-IL) | [![arXiv](https://img.shields.io/badge/arXiv-2210.17178-b31b1b.svg)](https://arxiv.org/abs/2210.17178) | :heavy_minus_sign: | | 1654 | FG-EmoTalk: Talking Head Video Generation with Fine-Grained Controllable Facial Expressions | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 2565 | Spectral Prompt Tuning: Unveiling Unseen Classes for Zero-Shot Semantic Segmentation | [![GitHub](https://img.shields.io/github/stars/clearxu/SPT?style=flat)](https://github.com/clearxu/SPT) | :heavy_minus_sign: | :heavy_minus_sign: | | 2945 | Decoupled Contrastive Learning for Long-Tailed Recognition | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 5101 | The Expected Loss of Preconditioned Langevin Dynamics Reveals the Hessian Rank | [![GitHub](https://img.shields.io/github/stars/amitaybar/The-Expected-Loss-of-Preconditioned-Langevin-Dynamics-Reveals-the-Hessian-Rank?style=flat)](https://github.com/amitaybar/The-Expected-Loss-of-Preconditioned-Langevin-Dynamics-Reveals-the-Hessian-Rank) | [![arXiv](https://img.shields.io/badge/arXiv-2402.13810-b31b1b.svg)](https://arxiv.org/abs/2402.13810) | :heavy_minus_sign: | | 1430 | Improving Robustness for Joint Optimization of Camera Pose and Decomposed Low-Rank Tensorial Radiance Fields | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://alex04072000.github.io/Joint-TensoRF/)
[![GitHub](https://img.shields.io/github/stars/Nemo1999/Joint-TensoRF?style=flat)](https://github.com/Nemo1999/Joint-TensoRF) | [![arXiv](https://img.shields.io/badge/arXiv-2402.13252-b31b1b.svg)](https://arxiv.org/abs/2402.13252) | :heavy_minus_sign: | | 6192 | Exact Algorithms and Lowerbounds for Multiagent Path Finding: Power of Treelike Topology | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 244 | SiMA-Hand: Boosting 3D Hand-Mesh Reconstruction by Single-to-Multi-View Adaptation | [![GitHub](https://img.shields.io/github/stars/JoyboyWang/SiMA-Hand_Pytorch?style=flat)](https://github.com/JoyboyWang/SiMA-Hand_Pytorch) | [![arXiv](https://img.shields.io/badge/arXiv-2402.01389-b31b1b.svg)](https://arxiv.org/abs/2402.01389) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=5sul0NPcF3s) | | 3060 | Context-I2W: Mapping Images to Context-Dependent Words for Accurate Zero-Shot Composed Image Retrieval | [![GitHub](https://img.shields.io/github/stars/Pter61/context-i2w?style=flat)](https://github.com/Pter61/context-i2w) | [![arXiv](https://img.shields.io/badge/arXiv-2309.16137-b31b1b.svg)](https://arxiv.org/abs/2309.16137) | :heavy_minus_sign: | | 424 | Modeling Continuous Motion for 3D Point Cloud Object Tracking | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2303.07605-b31b1b.svg)](https://arxiv.org/abs/2303.07605) | :heavy_minus_sign: | | 2889 | Symbolic Regression Enhanced Decision Trees for Classification Tasks | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 3796 | Trash to Treasure: Low-Light Object Detection via Decomposition-and-Aggregation | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2309.03548-b31b1b.svg)](https://arxiv.org/abs/2309.03548) | :heavy_minus_sign: | | 5066 | DocMSU: A Comprehensive Benchmark for Document-Level Multimodal Sarcasm Understanding | [![GitHub](https://img.shields.io/github/stars/Dulpy/DocMSU?style=flat)](https://github.com/Dulpy/DocMSU) | [![arXiv](https://img.shields.io/badge/arXiv-2312.16023-b31b1b.svg)](https://arxiv.org/abs/2312.16023) | :heavy_minus_sign: | | 1378 | VadCLIP: Adapting Vision-Language Models for Weakly Supervised Video Anomaly Detection | [![GitHub](https://img.shields.io/github/stars/nwpu-zxr/VadCLIP?style=flat)](https://github.com/nwpu-zxr/VadCLIP) | [![arXiv](https://img.shields.io/badge/arXiv-2308.11681-b31b1b.svg)](https://arxiv.org/abs/2308.11681) | :heavy_minus_sign: | | 5924 | Conformal Crystal Graph Transformer with Robust Encoding of Periodic Invariance | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 3624 | CI-STHPAN: Pre-trained Attention Network for Stock Selection with Channel-Independent Spatio-Temporal Hypergraph | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 3941 | Effective Causal Discovery under Identifiable Heteroscedastic Noise Model | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.12844-b31b1b.svg)](https://arxiv.org/abs/2312.12844) | :heavy_minus_sign: | | 1608 | Harnessing Edge Information for Improved Robustness in Vision Transformers | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 5627 | Learning from Failure: Improving Meeting Summarization without Good Samples | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 4430 | Deep Active Learning with Noise Stability | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2205.13340-b31b1b.svg)](https://arxiv.org/abs/2205.13340) | :heavy_minus_sign: | | 5367 | Stable Unlearnable Example: Enhancing the Robustness of Unlearnable Examples via Stable Error-Minimizing Noise | [![GitHub](https://img.shields.io/github/stars/liuyixin-louis/Stable-Unlearnable-Example?style=flat)](https://github.com/liuyixin-louis/Stable-Unlearnable-Example) | [![arXiv](https://img.shields.io/badge/arXiv-2311.13091-b31b1b.svg)](https://arxiv.org/abs/2311.13091) | :heavy_minus_sign: | | 1670 | Adaptive FSS: A Novel Few-Shot Segmentation Framework via Prototype Enhancement | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://jingw193.github.io/AdaptiveFSS/)
[![GitHub](https://img.shields.io/github/stars/jingw193/AdaptiveFSS?style=flat)](https://github.com/jingw193/AdaptiveFSS) | [![arXiv](https://img.shields.io/badge/arXiv-2312.15731-b31b1b.svg)](https://arxiv.org/abs/2312.15731) | :heavy_minus_sign: | | 6005 | Efficient Lightweight Image Denoising with Triple Attention Transformer | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 2101 | Attention-Induced Embedding Imputation for Incomplete Multi-View Partial Multi-Label Classification | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 3522 | Sample-Level Cross-View Similarity Learning for Incomplete Multi-View Clustering | [![GitHub](https://img.shields.io/github/stars/Tracesource/SCSL?style=flat)](https://github.com/Tracesource/SCSL) | :heavy_minus_sign: | :heavy_minus_sign: | | 1648 | Gaze Target Detection by Merging Human Attention and Activity Cues | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 2618 | SHoP: A Deep Learning Framework for Solving High-Order Partial Differential Equations | [![GitHub](https://img.shields.io/github/stars/HarryPotterXTX/SHoP?style=flat)](https://github.com/HarryPotterXTX/SHoP) | [![arXiv](https://img.shields.io/badge/arXiv-2305.10033-b31b1b.svg)](https://arxiv.org/abs/2305.10033) | :heavy_minus_sign: | | 5117 | ResMatch: Residual Attention Learning for Feature Matching | [![GitHub](https://img.shields.io/github/stars/ACuOoOoO/ResMatch?style=flat)](https://github.com/ACuOoOoO/ResMatch) | [![arXiv](https://img.shields.io/badge/arXiv-2307.05180-b31b1b.svg)](https://arxiv.org/abs/2307.05180) | :heavy_minus_sign: | | 55 | ISP-Teacher: Image Signal Process with Disentanglement Regularization for Unsupervised Domain Adaptive Dark Object Detection | [![GitHub](https://img.shields.io/github/stars/zhangyin1996/ISP-Teacher?style=flat)](https://github.com/zhangyin1996/ISP-Teacher) | :heavy_minus_sign: | :heavy_minus_sign: | | 11480 | FacetCRS: Multi-Faceted Preference Learning for Pricking Filter Bubbles in Conversational Recommender System | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 360 | Adaptive Discovering and Merging for Incremental Novel Class Discovery | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 4220 | IGAMT: Privacy Preserved Electronic Health Record Synthetic Approach with Heterogeneity and Irregularity | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 11784 | Sample Efficient Reinforcement Learning with Partial Dynamics Knowledge | [![GitHub](https://img.shields.io/github/stars/meshal-h/ucb-f?style=flat)](https://github.com/meshal-h/ucb-f) | [![arXiv](https://img.shields.io/badge/arXiv-2312.12558-b31b1b.svg)](https://arxiv.org/abs/2312.12558) | :heavy_minus_sign: | | 4021 | Chain of Generation: Multi-Modal Gesture Synthesis via Cascaded Conditional Control | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.15900-b31b1b.svg)](https://arxiv.org/abs/2312.15900) | :heavy_minus_sign: | | 4835 | Locality Preserving Refinement for Shape Matching with Functional Maps | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 6273 | ViTree: Single-Path Neural Tree for Step-Wise Interpretable Fine-Grained Visual Categorization | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2401.17050-b31b1b.svg)](https://arxiv.org/abs/2401.17050) | :heavy_minus_sign: | | 3188 | TIKP: Text-to-Image Knowledge Preservation for Continual Semantic Segmentation | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 4149 | Symmetric Self-Paced Learning for Domain Generalization | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 6044 | Comprehensive View Embedding Learning for Single-Cell Multimodal Integration | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 2459 | A Multimodal, Multi-Task Adapting Framework for Video Action Recognition | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2401.11649-b31b1b.svg)](https://arxiv.org/abs/2401.11649) | :heavy_minus_sign: | | 3453 | SwiftPillars: High-Efficiency Pillar Encoder for Lidar-based 3D Detection | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 5693 | Image Content Generation with Causal Reasoning | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://github.com/IEIT-AGI/MIX-Shannon/blob/main/projects/VQAI/lgd_vqai.md) | [![arXiv](https://img.shields.io/badge/arXiv-2312.07132-b31b1b.svg)](https://arxiv.org/abs/2312.07132) | :heavy_minus_sign: | | 13313 | Cross-Modal and Uni-Modal Soft-Label Alignment for Image-Text Retrieval | [![GitHub](https://img.shields.io/github/stars/lerogo/aaai24_itr_cusa?style=flat)](https://github.com/lerogo/aaai24_itr_cusa) | :heavy_minus_sign: | :heavy_minus_sign: | | 1155 | FocalDreamer: Text-Driven 3D Editing via Focal-Fusion Assembly | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://focaldreamer.github.io/)
[![GitHub](https://img.shields.io/github/stars/colorful-liyu/focaldreamer?style=flat)](https://github.com/colorful-liyu/focaldreamer) | [![arXiv](https://img.shields.io/badge/arXiv-2308.10608-b31b1b.svg)](https://arxiv.org/abs/2308.10608) | :heavy_minus_sign: | | 1613 | Enhancing RAW-to-sRGB with Decoupled Style Structure in Fourier Domain | [![GitHub](https://img.shields.io/github/stars/alexhe101/FourierISP?style=flat)](https://github.com/alexhe101/FourierISP) | [![arXiv](https://img.shields.io/badge/arXiv-2401.02161-b31b1b.svg)](https://arxiv.org/abs/2401.02161) | :heavy_minus_sign: | | 3671 | PM-INR: Prior-Rich Multi-Modal Implicit Large-Scale Scene Neural Representation | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 5625 | DreamStyler: Paint by Style Inversion with Text-to-Image Diffusion Models | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://nmhkahn.github.io/dreamstyler/)
[![GitHub](https://img.shields.io/github/stars/webtoon/dreamstyler?style=flat)](https://github.com/webtoon/dreamstyler) | [![arXiv](https://img.shields.io/badge/arXiv-2309.06933-b31b1b.svg)](https://arxiv.org/abs/2309.06933) | :heavy_minus_sign: | | 2414 | Learning to Approximate Adaptive Kernel Convolution on Graphs | [![GitHub](https://img.shields.io/github/stars/JaeyoonSSim/LSAP?style=flat)](https://github.com/JaeyoonSSim/LSAP) | [![arXiv](https://img.shields.io/badge/arXiv-2401.11840-b31b1b.svg)](https://arxiv.org/abs/2401.11840) | :heavy_minus_sign: | | 3538 | Domain Invariant Learning for Gaussian Processes and Bayesian Exploration | [![GitHub](https://img.shields.io/github/stars/Billzxl/DIL-GP?style=flat)](https://github.com/Billzxl/DIL-GP) | [![arXiv](https://img.shields.io/badge/arXiv-2312.11318-b31b1b.svg)](https://arxiv.org/abs/2312.11318) | :heavy_minus_sign: | | 5469 | Effect Size Estimation for Duration Recommendation in Online Experiments: Leveraging Hierarchical Models and Objective Utility Approaches | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.12871-b31b1b.svg)](https://arxiv.org/abs/2312.12871) | :heavy_minus_sign: | | 9237 | Teaching Large Language Models to Translate with Comparison | [![GitHub](https://img.shields.io/github/stars/lemon0830/TIM?style=flat)](https://github.com/lemon0830/TIM) | [![arXiv](https://img.shields.io/badge/arXiv-2307.04408-b31b1b.svg)](https://arxiv.org/abs/2307.04408) | :heavy_minus_sign: | | 648 | MmAP: Multi-Modal Alignment Prompt for Cross-Domain Multi-Task Learning | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.08636-b31b1b.svg)](https://arxiv.org/abs/2312.08636) | :heavy_minus_sign: | | 3968 | On the Affinity, Rationality, and Diversity of Hierarchical Topic Modeling | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2401.14113-b31b1b.svg)](https://arxiv.org/abs/2401.14113) | :heavy_minus_sign: | | 5525 | ZOOM: Learning Video Mirror Detection with Extremely-Weak Supervision | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 5685 | Double Buffers CEM-TD3: More Efficient Evolution and Richer Exploration | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 4001 | Distilling Reliable Knowledge for Instance-Dependent Partial Label Learning | [![GitHub](https://img.shields.io/github/stars/wu-dd/DIRK?style=flat)](https://github.com/wu-dd/DIRK) | :heavy_minus_sign: | :heavy_minus_sign: | | 4828 | Settling Decentralized Multi-Agent Coordinated Exploration by Novelty Sharing | [![GitHub](https://img.shields.io/github/stars/SigmaBM/MACE?style=flat)](https://github.com/SigmaBM/MACE) | [![arXiv](https://img.shields.io/badge/arXiv-2402.02097-b31b1b.svg)](https://arxiv.org/abs/2402.02097) | :heavy_minus_sign: | | 6997 | Information Design for Congestion Games with Unknown Demand | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2310.08314-b31b1b.svg)](https://arxiv.org/abs/2310.08314) | :heavy_minus_sign: | | 1198 | Hypercorrelation Evolution for Video Class-Incremental Learning | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 4372 | Improving Transferability for Cross-Domain Trajectory Prediction via Neural Stochastic Differential Equation | [![GitHub](https://img.shields.io/github/stars/daeheepark/TrajSDE?style=flat)](https://github.com/daeheepark/TrajSDE) | [![arXiv](https://img.shields.io/badge/arXiv-2312.15906-b31b1b.svg)](https://arxiv.org/abs/2312.15906) | :heavy_minus_sign: | | 5868 | Towards Efficient Diffusion-based Image Editing with Instant Attention Masks | [![GitHub](https://img.shields.io/github/stars/xiaotianqing/InstDiffEdit?style=flat)](https://github.com/xiaotianqing/InstDiffEdit) | [![arXiv](https://img.shields.io/badge/arXiv-2401.07709-b31b1b.svg)](https://arxiv.org/abs/2401.07709) | :heavy_minus_sign: | | 4469 | ModWaveMLP: MLP-based Mode Decomposition and Wavelet Denoising Model to Defeat Complex Structures in Traffic Forecasting | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 5704 | V2Meow: Meowing to the Visual Beat via Video-to-Music Generation | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://google-research.github.io/noise2music/v2meow/) | [![arXiv](https://img.shields.io/badge/arXiv-2305.06594-b31b1b.svg)](https://arxiv.org/abs/2305.06594) | :heavy_minus_sign: | | 1150 | Explicitly Perceiving and Preserving the Local Geometric Structures for 3D Point Cloud Attack | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 2963 | Boosting Residual Networks with Group Knowledge | [![GitHub](https://img.shields.io/github/stars/tsj-001/AAAI24-GKT?style=flat)](https://github.com/tsj-001/AAAI24-GKT) | [![arXiv](https://img.shields.io/badge/arXiv-2308.13772-b31b1b.svg)](https://arxiv.org/abs/2308.13772) | :heavy_minus_sign: | | 1429 | Understanding the Generalization of Pretrained Diffusion Models on Out-of-Distribution Data | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 5150 | Semantic Segmentation in Multiple Adverse Weather Conditions with Domain Knowledge Retention | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2401.07459-b31b1b.svg)](https://arxiv.org/abs/2401.07459) | :heavy_minus_sign: | ================================================ FILE: sections/2024/main/2201_2246.md ================================================ # AAAI-2024-Papers
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## 2201-2246 papers ![Section Papers](https://img.shields.io/badge/Section%20Papers-soon-42BA16) ![Preprint Papers](https://img.shields.io/badge/Preprint%20Papers-soon-b31b1b) ![Papers with Open Code](https://img.shields.io/badge/Papers%20with%20Open%20Code-soon-1D7FBF) ![Papers with Video](https://img.shields.io/badge/Papers%20with%20Video-soon-FF0000) | :id: | **Title** | **Repo** | **Paper** | **Video** | |------|-----------|:--------:|:---------:|:---------:| | 12434 | PHFormer: Multi-Fragment Assembly using Proxy-Level Hybrid Transformer | | | | | 9277 | Uncertainty Quantification for Data-Driven Change-Point Learning via Cross-Validation | | | | | 5295 | End-to-End Verification for Subgraph Solving | | [![arXiv](https://img.shields.io/badge/arXiv-2212.01060-b31b1b.svg)](https://arxiv.org/abs/2212.01060) | | | 2354 | FoX: Formation-Aware Exploration in Multi-Agent Reinforcement Learning | | | | | 8977 | When Model Meets New Normals: Test-Time Adaptation for Unsupervised Time-Series Anomaly Detection | | [![arXiv](https://img.shields.io/badge/arXiv-2312.11976-b31b1b.svg)](https://arxiv.org/abs/2312.11976) | | | 12243 | A Unified Environmental Network for Pedestrian Trajectory Prediction | | [![arXiv](https://img.shields.io/badge/arXiv-1906.01797-b31b1b.svg)](https://arxiv.org/abs/1906.01797) | | | 8655 | Delivering Inflated Explanations | | [![arXiv](https://img.shields.io/badge/arXiv-2306.15272-b31b1b.svg)](https://arxiv.org/abs/2306.15272) | | | 10978 | Empowering CAM-based Methods with Capability to Generate Fine-Grained and High-Faithfulness Explanations | | | | | 2395 | BLADE: Box-Level Supervised Amodal Segmentation through Directed Expansion | | | | | 11068 | Unsupervised Cross-Domain Image Retrieval via Prototypical Optimal Transport | | [![arXiv](https://img.shields.io/badge/arXiv-2310.19087-b31b1b.svg)](https://arxiv.org/abs/2310.19087) | | | 11839 | Cooperative Knowledge Distillation: A Learner Agnostic Approach | | [![arXiv](https://img.shields.io/badge/arXiv-2207.12346-b31b1b.svg)](https://arxiv.org/abs/2207.12346) | | | 13200 | Knowledge Enhanced Representation Learning for Drug Discovery | | [![arXiv](https://img.shields.io/badge/arXiv-2306.12802-b31b1b.svg)](https://arxiv.org/abs/2306.12802) | | | 8087 | RGMComm: Return Gap Minimization via Discrete Communications in Multi-Agent Reinforcement Learning | | | | | 5678 | CREAD: A Classification-Restoration Framework with Error Adaptive Discretization for Watch Time Prediction in Video Recommender Systems | | | | | 7083 | Unveiling the Significance of Toddler-Inspired Reward Transition in Goal-Oriented Reinforcement Learning | | [![arXiv](https://img.shields.io/badge/arXiv-2303.09850-b31b1b.svg)](https://arxiv.org/abs/2303.09850) | | | 11712 | Layer Collaboration in the Forward-Forward Algorithm | | [![arXiv](https://img.shields.io/badge/arXiv-2012.10569-b31b1b.svg)](https://arxiv.org/abs/2012.10569) | | | 11868 | One Step Learning, One Step Review | | [![arXiv](https://img.shields.io/badge/arXiv-2108.07915-b31b1b.svg)](https://arxiv.org/abs/2108.07915) | | | 7430 | Synergistic Anchored Contrastive Pre-Training for Few-Shot Relation Extraction | | | | | 1128 | HOP to the Next Tasks and Domains for Continual Learning in NLP | | [![arXiv](https://img.shields.io/badge/arXiv-2302.06801-b31b1b.svg)](https://arxiv.org/abs/2302.06801) | | | 9074 | A Fixed-Parameter Tractable Algorithm for Counting Markov Equivalence Classes with the Same Skeleton | | | | | 10483 | Token-Level Contrastive Learning with Modality-Aware Prompting for Multimodal Intent Recognition | | [![arXiv](https://img.shields.io/badge/arXiv-2312.14667-b31b1b.svg)](https://arxiv.org/abs/2312.14667) | | | 10927 | Situation-Dependent Causal Influence-based Cooperative Multi-Agent Reinforcement Learning | | [![arXiv](https://img.shields.io/badge/arXiv-1703.08099-b31b1b.svg)](https://arxiv.org/abs/1703.08099) | | | 8446 | HyperFast: Instant Classification for Tabular Data | | | | | 934 | Make Lossy Compression Meaningful for Low-Light Images | | [![arXiv](https://img.shields.io/badge/arXiv-2103.17015-b31b1b.svg)](https://arxiv.org/abs/2103.17015) | | | 6691 | Building Variable-Sized Models via Learngene Pool | | [![arXiv](https://img.shields.io/badge/arXiv-2312.05743-b31b1b.svg)](https://arxiv.org/abs/2312.05743) | | | 11328 | Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding | | [![arXiv](https://img.shields.io/badge/arXiv-2310.11060-b31b1b.svg)](https://arxiv.org/abs/2310.11060) | | | 13089 | Generalized Planning for the Abstraction and Reasoning Corpus | | [![arXiv](https://img.shields.io/badge/arXiv-2401.07426-b31b1b.svg)](https://arxiv.org/abs/2401.07426) | | | 6913 | IT3D: Improved Text-to-3D Generation with Explicit View Synthesis | | | | | 8755 | Quantum-Inspired Neural Network with Runge-Kutta Method | | [![arXiv](https://img.shields.io/badge/arXiv-2304.13812-b31b1b.svg)](https://arxiv.org/abs/2304.13812) | | | 7073 | Chinese Spelling Correction as Rephrasing Language Model | | | | | 11822 | Stable Model Semantics for Description Logic Terminologies | | | | | 3079 | Detection-based Intermediate Supervision for Visual Question Answering | | [![arXiv](https://img.shields.io/badge/arXiv-2312.16012-b31b1b.svg)](https://arxiv.org/abs/2312.16012) | | | 10318 | FlexKBQA: A Flexible LLM-Powered Framework for Few-Shot Knowledge Base Question Answering | | | | | 10101 | DME: Unveiling the Bias for Better Generalized Monocular Depth Estimation | | | | | 12885 | Forced Exploration in Bandit Problems | | [![arXiv](https://img.shields.io/badge/arXiv-2005.02209-b31b1b.svg)](https://arxiv.org/abs/2005.02209) | | | 12871 | Optimal Attack and Defense for Reinforcement Learning | | | | | 9016 | Optimal Mechanism in a Dynamic Stochastic Knapsack Environment | | | | | 9576 | Cross-Constrained Progressive Inference for 3D Hand Pose Estimation with Dynamic Observer-Decision-Adjuster Networks | | | | | 8013 | Intelligent Calibration for Bias Reduction in Sentiment Corpora Annotation Process | | [![arXiv](https://img.shields.io/badge/arXiv-2106.14434-b31b1b.svg)](https://arxiv.org/abs/2106.14434) | | | 13487 | Fairness under Covariate Shift: Improving Fairness-Accuracy Tradeoff with Few Unlabeled Test Samples | | [![arXiv](https://img.shields.io/badge/arXiv-2310.07535-b31b1b.svg)](https://arxiv.org/abs/2310.07535) | | | 10231 | Decomposing Constraint Networks for Calculating c-Representations | | [![arXiv](https://img.shields.io/badge/arXiv-1711.04084-b31b1b.svg)](https://arxiv.org/abs/1711.04084) | | | 12535 | Embedded Feature Selection on Graph-based Multi-View Clustering | | | | | 6257 | Intrinsic Action Tendency Consistency for Cooperative Multi-Agent Reinforcement Learning | | [![arXiv](https://img.shields.io/badge/arXiv-2012.07669-b31b1b.svg)](https://arxiv.org/abs/2012.07669) | | | 6533 | A Learnable Discrete-Prior Fusion Autoencoder with Contrastive Learning for Tabular Data Synthesis | | [![arXiv](https://img.shields.io/badge/arXiv-2310.11896-b31b1b.svg)](https://arxiv.org/abs/2310.11896) | | | 9893 | On the Convergence of an Adaptive Momentum Method for Adversarial Attacks | | [![arXiv](https://img.shields.io/badge/arXiv-2009.08194-b31b1b.svg)](https://arxiv.org/abs/2009.08194) | | | 1270 | Unsupervised Group Re-Identification via Adaptive Clustering-Driven Progressive Learning | | [![arXiv](https://img.shields.io/badge/arXiv-2111.15077-b31b1b.svg)](https://arxiv.org/abs/2111.15077) | | ================================================ FILE: sections/2024/main/401_600.md ================================================ # AAAI-2024-Papers
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## 401-600 papers ![Section Papers](https://img.shields.io/badge/Section%20Papers-200-42BA16) ![Preprint Papers](https://img.shields.io/badge/Preprint%20Papers-105-b31b1b) ![Papers with Open Code](https://img.shields.io/badge/Papers%20with%20Open%20Code-70-1D7FBF) ![Papers with Video](https://img.shields.io/badge/Papers%20with%20Video-3-FF0000) | :id: | **Title** | **Repo** | **Paper** | **Video** | |------|-----------|:--------:|:---------:|:---------:| | 3219 | Progressive High-Frequency Reconstruction for Pan-Sharpening with Implicit Neural Representation | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 2810 | Orthogonal Dictionary Guided Shape Completion Network for Point Cloud | [![GitHub](https://img.shields.io/github/stars/corecai163/ODGNet?style=flat)](https://github.com/corecai163/ODGNet) | :heavy_minus_sign: | :heavy_minus_sign: | | 10698 | Pantypes: Diverse Representatives for Self-Explainable Models | [![GitHub](https://img.shields.io/github/stars/RuneDK93/pantypes?style=flat)](https://github.com/RuneDK93/pantypes) | :heavy_minus_sign: | :heavy_minus_sign: | | 2283 | Pseudo-Label Calibration Semi-Supervised Multi-Modal Entity Alignment | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 406 | Set Prediction Guided by Semantic Concepts for Diverse Video Captioning | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.15720-b31b1b.svg)](https://arxiv.org/abs/2312.15720) | :heavy_minus_sign: | | 4216 | SFC: Shared Feature Calibration in Weakly Supervised Semantic Segmentation | [![GitHub](https://img.shields.io/github/stars/Barrett-python/SFC?style=flat)](https://github.com/Barrett-python/SFC) | [![arXiv](https://img.shields.io/badge/arXiv-2401.11719-b31b1b.svg)](https://arxiv.org/abs/2401.11719) | :heavy_minus_sign: | | 2752 | Cross-Modal Feature Distribution Calibration for Few-Shot Visual Question Answering | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 4723 | EG-NAS: Neural Architecture Search with Fast Evolutionary Exploration | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 11940 | Variable Importance in High-Dimensional Settings Requires Grouping | [![GitHub](https://img.shields.io/github/stars/achamma723/Group_Variable_Importance?style=flat)](https://github.com/achamma723/Group_Variable_Importance) | [![arXiv](https://img.shields.io/badge/arXiv-2312.10858-b31b1b.svg)](https://arxiv.org/abs/2312.10858) | :heavy_minus_sign: | | 12147 | Selective Deep Autoencoder for Unsupervised Feature Selection | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 2269 | Beyond the Label Itself: Latent Labels Enhance Semi-Supervised Point Cloud Panoptic Segmentation | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.08234-b31b1b.svg)](https://arxiv.org/abs/2312.08234) | :heavy_minus_sign: | | 3616 | Continuous Rotation Group Equivariant Network Inspired by Neural Population Coding | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 9594 | Agile-Quant: Activation-Guided Quantization for Faster Inference of LLMs on the Edge | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.05693-b31b1b.svg)](https://arxiv.org/abs/2312.05693) | :heavy_minus_sign: | | 5142 | Point Deformable Network with Enhanced Normal Embedding for Point Cloud Analysis | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.13071-b31b1b.svg)](https://arxiv.org/abs/2312.13071) | :heavy_minus_sign: | | 10362 | Generating and Reweighting Dense Contrastive Patterns for Unsupervised Anomaly Detection | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.15911-b31b1b.svg)](https://arxiv.org/abs/2312.15911) | :heavy_minus_sign: | | 8573 | Patched Line Segment Learning for Vector Road Mapping | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2309.02923-b31b1b.svg)](https://arxiv.org/abs/2309.02923) | :heavy_minus_sign: | | 6102 | CLIP-Gaze: Towards General Gaze Estimation via Visual-Linguistic Model | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 5006 | Explaining Reinforcement Learning Agents through Counterfactual Action Outcomes | [![GitHub](https://img.shields.io/github/stars/yotamitai/COViz?style=flat)](https://github.com/yotamitai/COViz) | [![arXiv](https://img.shields.io/badge/arXiv-2312.11118-b31b1b.svg)](https://arxiv.org/abs/2312.11118) | :heavy_minus_sign: | | 4258 | PMET: Precise Model Editing in a Transformer | [![GitHub](https://img.shields.io/github/stars/xpq-tech/PMET?style=flat)](https://github.com/xpq-tech/PMET) | [![arXiv](https://img.shields.io/badge/arXiv-2308.08742-b31b1b.svg)](https://arxiv.org/abs/2308.08742) | :heavy_minus_sign: | | 6189 | Sampling for Beyond-Worst-Case Online Ranking | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 6201 | MedBench: A Large-Scale Chinese Benchmark for Evaluating Medical Large Language Models | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.12806-b31b1b.svg)](https://arxiv.org/abs/2312.12806) | :heavy_minus_sign: | | 9595 | Graph-based Prediction and Planning Policy Network (GP3Net) for Scalable Self-Driving in Dynamic Environments using Deep Reinforcement Learning | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.05784-b31b1b.svg)](https://arxiv.org/abs/2312.05784) | :heavy_minus_sign: | | 6161 | Electron Microscopy Images as Set of Fragments for Mitochondrial Segmentation | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 1321 | Multi-Cross Sampling and Frequency-Division Reconstruction for Image Compressed Sensing | [![GitHub](https://img.shields.io/github/stars/songhp/MCFD-Net?style=flat)](https://github.com/songhp/MCFD-Net) | :heavy_minus_sign: | :heavy_minus_sign: | | 6493 | Zhongjing: Enhancing the Chinese Medical Capabilities of Large Language Model through Expert Feedback and Real-World Multi-Turn Dialogue | [![GitHub](https://img.shields.io/github/stars/SupritYoung/Zhongjing?style=flat)](https://github.com/SupritYoung/Zhongjing) | [![arXiv](https://img.shields.io/badge/arXiv-2308.03549-b31b1b.svg)](https://arxiv.org/abs/2308.03549) | :heavy_minus_sign: | | 1407 | ExpeL: LLM Agents are Experiential Learners | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://andrewzh112.github.io/#expel)
[![GitHub](https://img.shields.io/github/stars/LeapLabTHU/ExpeL?style=flat)](https://github.com/LeapLabTHU/ExpeL) | [![arXiv](https://img.shields.io/badge/arXiv-2308.10144-b31b1b.svg)](https://arxiv.org/abs/2308.10144) | :heavy_minus_sign: | | 2429 | PRP Rebooted: Advancing the State of the Art in FOND Planning | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.11675-b31b1b.svg)](https://arxiv.org/abs/2312.11675) | :heavy_minus_sign: | | 6046 | All Beings are Equal in Open Set Recognition | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2401.17654-b31b1b.svg)](https://arxiv.org/abs/2401.17654) | :heavy_minus_sign: | | 1407 | Improving Expressive Power of Spectral Graph Neural Networks with Eigenvalue Correction | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2401.15603-b31b1b.svg)](https://arxiv.org/abs/2401.15603) | :heavy_minus_sign: | | 3936 | Decentralized Sum-of-Nonconvex Optimization | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2402.02356-b31b1b.svg)](https://arxiv.org/abs/2402.02356) | :heavy_minus_sign: | | 842 | MeDM: Mediating Image Diffusion Models for Video-to-Video Translation with Temporal Correspondence Guidance | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://medm2023.github.io/)
[![GitHub](https://img.shields.io/github/stars/aiiu-lab/MeDM?style=flat)](https://github.com/aiiu-lab/MeDM) | [![arXiv](https://img.shields.io/badge/arXiv-2308.10079-b31b1b.svg)](https://arxiv.org/abs/2308.10079) | :heavy_minus_sign: | | 2721 | B-Spine: Learning B-Spline Curve Representation for Robust and Interpretable Spinal Curvature Estimation | [![GitHub](https://img.shields.io/github/stars/JLU-ICL/B-Spine?style=flat)](https://github.com/JLU-ICL/B-Spine) | [![arXiv](https://img.shields.io/badge/arXiv-2310.09603-b31b1b.svg)](https://arxiv.org/abs/2310.09603) | :heavy_minus_sign: | | 6930 | Collaborative Synthesis of Patient Records through Multi-Visit Health State Inference | [![GitHub](https://img.shields.io/github/stars/p1nksnow/MSIC?style=flat)](https://github.com/p1nksnow/MSIC) | [![arXiv](https://img.shields.io/badge/arXiv-2312.14646-b31b1b.svg)](https://arxiv.org/abs/2312.14646) | :heavy_minus_sign: | | 2023 | Primitive-based 3D Human-Object Interaction Modelling and Programming | [![WEB Page](https://img.shields.io/badge/WEB-Page-159957.svg)](https://mvig-rhos.com/p3haoi) | [![arXiv](https://img.shields.io/badge/arXiv-2312.10714-b31b1b.svg)](https://arxiv.org/abs/2312.10714) | :heavy_minus_sign: | | 8625 | Link Prediction in Multilayer Networks via Cross-Network Embedding | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 3921 | An Effective Augmented Lagrangian Method for Fine-Grained Multi-View Optimization | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 6961 | Multiscale Attention Wavelet Neural Operator for Capturing Steep Trajectories in Biochemical Systems | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 936 | TMFormer: Token Merging Transformer for Brain Tumor Segmentation with Missing Modalities | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 1105 | Prompting Multi-Modal Image Segmentation with Semantic Grouping | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 6486 | Semi-Supervised TEE Segmentation via Interacting with SAM Equipped with Noise-Resilient Prompting | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 6429 | FedCD: Federated Semi-Supervised Learning with Class Awareness Balance via Dual Teachers | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 6637 | Transfer and Alignment Network for Generalized Category Discovery | [![GitHub](https://img.shields.io/github/stars/Lackel/TAN?style=flat)](https://github.com/Lackel/TAN) | [![arXiv](https://img.shields.io/badge/arXiv-2312.16467-b31b1b.svg)](https://arxiv.org/abs/2312.16467) | :heavy_minus_sign: | | 5219 | Distribution-Conditioned Adversarial Variational Autoencoder for Valid Instrumental Variable Generation | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 8821 | On Unsupervised Domain Adaptation: Pseudo Label Guided Mixup for Adversarial Prompt Tuning | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 5378 | Learning Coalition Structures with Games | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.09058-b31b1b.svg)](https://arxiv.org/abs/2312.09058) | :heavy_minus_sign: | | 8756 | Fusing Conditional Submodular GAN and Programmatic Weak Supervision | [![GitHub](https://img.shields.io/github/stars/kyrs/subpws-gan?style=flat)](https://github.com/kyrs/subpws-gan) | [![arXiv](https://img.shields.io/badge/arXiv-2312.10366-b31b1b.svg)](https://arxiv.org/abs/2312.10366) | :heavy_minus_sign: | | 4842 | Enhancing Representation of Spiking Neural Networks via Similarity-Sensitive Contrastive Learning | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 7591 | Text2Analysis: A Benchmark of Table Question Answering with Advanced Data Analysis and Unclear Queries | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.13671-b31b1b.svg)](https://arxiv.org/abs/2312.13671) | :heavy_minus_sign: | | 6002 | Are You Concerned about Limited Function Evaluations: Data-Augmented Pareto Set Learning for Expensive Multi-Objective Optimization | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 8917 | LRS: Enhancing Adversarial Transferability through Lipschitz Regularized Surrogate | [![GitHub](https://img.shields.io/github/stars/TrustAIoT/LRS?style=flat)](https://github.com/TrustAIoT/LRS) | [![arXiv](https://img.shields.io/badge/arXiv-2312.13118-b31b1b.svg)](https://arxiv.org/abs/2312.13118) | :heavy_minus_sign: | | 1907 | Towards Continual Learning Desiderata via HSIC-Bottleneck Orthogonalization and Equiangular Embedding | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2401.09067-b31b1b.svg)](https://arxiv.org/abs/2401.09067) | :heavy_minus_sign: | | 5986 | Transformer-based No-Reference Image Quality Assessment via Supervised Contrastive Learning | [![GitHub](https://img.shields.io/github/stars/I2-Multimedia-Lab/SaTQA?style=flat)](https://github.com/I2-Multimedia-Lab/SaTQA) | [![arXiv](https://img.shields.io/badge/arXiv-2312.06995-b31b1b.svg)](https://arxiv.org/abs/2312.06995) | :heavy_minus_sign: | | 2680 | Multi-View Randomized Kernel Classification via Nonconvex Optimization | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 5244 | On the Structural Hardness of Answer Set Programming: Can Structure Efficiently Confine the Power of Disjunctions? | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 5976 | HEAP: Unsupervised Object Discovery and Localization with Contrastive Grouping | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.17492-b31b1b.svg)](https://arxiv.org/abs/2312.17492) | :heavy_minus_sign: | | 3502 | Topic-VQ-VAE: Leveraging Latent Codebooks for Flexible Topic-Guided Document Generation | [![GitHub](https://img.shields.io/github/stars/clovaai/TVQ-VAE?style=flat)](https://github.com/clovaai/TVQ-VAE) | [![arXiv](https://img.shields.io/badge/arXiv-2312.11532-b31b1b.svg)](https://arxiv.org/abs/2312.11532) | :heavy_minus_sign: | | 907 | SasWOT: Real-Time Semantic Segmentation Architecture Search WithOut Training | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 4384 | Efficient Asynchronous Federated Learning with Prospective Momentum Aggregation and Fine-Grained Correction | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 1835 | PoetryDiffusion: Towards Joint Semantic and Metrical Manipulation in Poetry Generation | [![GitHub](https://img.shields.io/github/stars/ChorlingLau/PoetryDiffusion?style=flat)](https://github.com/ChorlingLau/PoetryDiffusion) | [![arXiv](https://img.shields.io/badge/arXiv-2306.08456-b31b1b.svg)](https://arxiv.org/abs/2306.08456) | :heavy_minus_sign: | | 4561 | Video-Context Aligned Transformer for Video Question Answering | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 6093 | Spectrum Translation for Refinement of Image Generation (STIG) based on Contrastive Learning and Spectral Filter Profile | [![GitHub](https://img.shields.io/github/stars/ykykyk112/STIG?style=flat)](https://github.com/ykykyk112/STIG) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28074/28154)
[![arXiv](https://img.shields.io/badge/arXiv-2403.05093-b31b1b.svg)](https://arxiv.org/abs/2403.05093) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28074/28155) | | 1915 | Gaze from Origin: Learning for Generalized Gaze Estimation by Embedding the Gaze Frontalization Process | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 12291 | Causal Walk: Debiasing Multi-Hop Fact Verification with Front-Door Adjustment | [![GitHub](https://img.shields.io/github/stars/zcccccz/CausalWalk?style=flat)](https://github.com/zcccccz/CausalWalk) | :heavy_minus_sign: | :heavy_minus_sign: | | 2067 | Sketch and Refine: Towards Fast and Accurate Lane Detection | [![GitHub](https://img.shields.io/github/stars/passerer/SRLane?style=flat)](https://github.com/passerer/SRLane) | [![arXiv](https://img.shields.io/badge/arXiv-2401.14729-b31b1b.svg)](https://arxiv.org/abs/2401.14729) | :heavy_minus_sign: | | 4505 | Causal Strategic Learning with Competitive Selection | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2308.16262-b31b1b.svg)](https://arxiv.org/abs/2308.16262) | :heavy_minus_sign: | | 6945 | Scaling Few-Shot Learning for the Open World | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 7362 | Image Captioning with Multi-Context Synthetic Data | [![GitHub](https://img.shields.io/github/stars/FeipengMa6/ICSD?style=flat)](https://github.com/FeipengMa6/ICSD) | [![arXiv](https://img.shields.io/badge/arXiv-2305.18072-b31b1b.svg)](https://arxiv.org/abs/2305.18072) | :heavy_minus_sign: | | 9337 | Context Enhanced Transformer for Single Image Object Detection in Video Data | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://ku-cvlab.github.io/CETR/)
[![GitHub](https://img.shields.io/github/stars/KU-CVLAB/CETR?style=flat)](https://github.com/KU-CVLAB/CETR) | [![arXiv](https://img.shields.io/badge/arXiv-2312.14492-b31b1b.svg)](https://arxiv.org/abs/2312.14492) | :heavy_minus_sign: | | 2968 | Improving Panoptic Narrative Grounding by Harnessing Semantic Relationships and Visual Confirmation | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 2693 | Semantic Complete Scene Forecasting from a 4D Dynamic Point Cloud Sequence | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://scsfnet.github.io/) | [![arXiv](https://img.shields.io/badge/arXiv-2312.08054-b31b1b.svg)](https://arxiv.org/abs/2312.08054) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=JMSd74XT8gc) | | 10028 | BAIT: Benchmarking (Embedding) Architectures for Interactive Theorem-Proving | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 12626 | A Score-based Deterministic Diffusion Algorithm with Smooth Scores for General Distributions | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 8636 | On the Computational Complexity of Plan Verification, (Bounded) Plan-Optimality Verification, and Bounded Plan Existence | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 5645 | OCEAN-MBRL: Offline Conservative Exploration for Model-based Offline Reinforcement Learning | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 146 | NeuSurf: On-Surface Priors for Neural Surface Reconstruction from Sparse Input Views | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://alvin528.github.io/NeuSurf/) | [![arXiv](https://img.shields.io/badge/arXiv-2312.13977-b31b1b.svg)](https://arxiv.org/abs/2312.13977) | :heavy_minus_sign: | | 7783 | Boosting Multiple Instance Learning Models for whole Slide Image Classification: A Model-Agnostic Framework based on Counterfactual Inference | [![GitHub](https://img.shields.io/github/stars/centurion-crawler/CIMIL?style=flat)](https://github.com/centurion-crawler/CIMIL) | :heavy_minus_sign: | :heavy_minus_sign: | | 2451 | DeblurSR: Event-based Motion Deblurring under the Spiking Representation | [![GitHub](https://img.shields.io/github/stars/chensong1995/DeblurSR?style=flat)](https://github.com/chensong1995/DeblurSR) | [![arXiv](https://img.shields.io/badge/arXiv-2303.08977-b31b1b.svg)](https://arxiv.org/abs/2303.08977) | :heavy_minus_sign: | | 6203 | Exploring Temporal Feature Correlation for Efficient and Stable Video Semantic Segmentation | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 892 | Reducing Spatial Fitting Error in Distillation of Denoising Diffusion Models | [![GitHub](https://img.shields.io/github/stars/Sainzerjj/SFERD?style=flat)](https://github.com/Sainzerjj/SFERD) | [![arXiv](https://img.shields.io/badge/arXiv-2311.03830-b31b1b.svg)](https://arxiv.org/abs/2311.03830) | :heavy_minus_sign: | | 4827 | OntoFact: Unveiling Fantastic Fact-Skeleton of LLMs via Ontology-Driven Reinforcement Learning | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 4198 | COMBHelper: A Neural Approach to Reduce Search Space for Graph Combinatorial Problems | [![GitHub](https://img.shields.io/github/stars/1041877801/COMBHelper?style=flat)](https://github.com/1041877801/COMBHelper) | [![arXiv](https://img.shields.io/badge/arXiv-2312.09086-b31b1b.svg)](https://arxiv.org/abs/2312.09086) | :heavy_minus_sign: | | 11020 | Blind Face Restoration under Extreme Conditions: Leveraging 3D-2D Prior Fusion for Superior Structural and Texture Recovery | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 2447 | Learning Domain-Independent Heuristics for Grounded and Lifted Planning | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.11143-b31b1b.svg)](https://arxiv.org/abs/2312.11143) | :heavy_minus_sign: | | 4577 | TCNet: Continuous Sign Language Recognition from Trajectories and Correlated Regions | [![GitHub](https://img.shields.io/github/stars/hotfinda/TCNet?style=flat)](https://github.com/hotfinda/TCNet) | :heavy_minus_sign: | :heavy_minus_sign: | | 973 | LAMPAT: Low-Rank Adaption for Multilingual Paraphrasing using Adversarial Training | [![GitHub](https://img.shields.io/github/stars/phkhanhtrinh23/LAMPAT?style=flat)](https://github.com/phkhanhtrinh23/LAMPAT) | [![arXiv](https://img.shields.io/badge/arXiv-2401.04348-b31b1b.svg)](https://arxiv.org/abs/2401.04348) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=Tr9PcfkfA6I) | | 4891 | Fine Structure-Aware Sampling: A New Sampling Training Scheme for Pixel-Aligned Implicit Models in Single-View Human Reconstruction | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 6337 | Identification of Causal Structure in the Presence of Missing Data with Additive Noise Model | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.12206-b31b1b.svg)](https://arxiv.org/abs/2312.12206) | :heavy_minus_sign: | | 10244 | Efficient Nonparametric Tensor Decomposition for Binary and Count Data | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2401.07711-b31b1b.svg)](https://arxiv.org/abs/2401.07711) | :heavy_minus_sign: | | 5223 | IS-DARTS: Stabilizing DARTS through Precise Measurement on Candidate Importance | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.12648-b31b1b.svg)](https://arxiv.org/abs/2312.12648) | :heavy_minus_sign: | | 1939 | Revisiting Open-Set Panoptic Segmentation | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 9728 | StockMixer: A Simple Yet Strong MLP-based Architecture for Stock Price Forecasting | [![GitHub](https://img.shields.io/github/stars/SJTU-Quant/StockMixer?style=flat)](https://github.com/SJTU-Quant/StockMixer) | :heavy_minus_sign: | :heavy_minus_sign: | | 6578 | Text-based Occluded Person Re-Identification via Multi-Granularity Contrastive Consistency Learning | [![GitHub](https://img.shields.io/github/stars/littlexinyi/MGCC?style=flat)](https://github.com/littlexinyi/MGCC) | :heavy_minus_sign: | :heavy_minus_sign: | | 5322 | Block Image Compressive Sensing with Local and Global Information Interaction | [![GitHub](https://img.shields.io/github/stars/XYkong-CS/BRBCN?style=flat)](https://github.com/XYkong-CS/BRBCN) | :heavy_minus_sign: | :heavy_minus_sign: | | 2160 | SimDistill: Simulated Multi-Modal Distillation for BEV 3D Object Detection | [![GitHub](https://img.shields.io/github/stars/ViTAE-Transformer/SimDistill?style=flat)](https://github.com/ViTAE-Transformer/SimDistill) | [![arXiv](https://img.shields.io/badge/arXiv-2303.16818-b31b1b.svg)](https://arxiv.org/abs/2303.16818) | :heavy_minus_sign: | | 6421 | Inverse Weight-Balancing for Deep Long-Tailed Learning | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 6770 | Root Cause Analysis in Microservice using Neural Granger Causal Disocvery | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 3367 | Dynamic Reactive Spiking Graph Neural Network | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 4836 | AltNeRF: Learning Robust Neural Radiance Field via Alternating Depth-Pose Optimization | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2308.10001-b31b1b.svg)](https://arxiv.org/abs/2308.10001) | :heavy_minus_sign: | | 724 | Audio Generation with Multiple Conditional Diffusion Model | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://conditionaudiogen.github.io/conditionaudiogen/) | [![arXiv](https://img.shields.io/badge/arXiv-2308.11940-b31b1b.svg)](https://arxiv.org/abs/2308.11940) | :heavy_minus_sign: | | 10782 | SNN-PDE: Learning Dynamic PDEs from Data with Simplicial Neural Networks | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 1347 | Variational Hybrid-Attention Framework for Multi-Label Few-Shot Aspect Category Detection | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 3498 | Focus Stacking with High Fidelity and Superior Visual Effects | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 3884 | Watermarking Conditional Text Generation for AI Detection: Unveiling Challenges and a Semantic-Aware Watermark Remedy | [![GitHub](https://img.shields.io/github/stars/FYYFU/semantic-watermark?style=flat)](https://github.com/FYYFU/semantic-watermark) | [![arXiv](https://img.shields.io/badge/arXiv-2307.13808-b31b1b.svg)](https://arxiv.org/abs/2307.13808) | :heavy_minus_sign: | | 13133 | Multichannel AV-wav2vec2: A Framework for Learning Multichannel Multi-Modal Speech Representation | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2401.03468-b31b1b.svg)](https://arxiv.org/abs/2401.03468) | :heavy_minus_sign: | | 13393 | On Alternating-Time Temporal Logic, Hyperproperties, and Strategy Sharing | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.12403-b31b1b.svg)](https://arxiv.org/abs/2312.12403) | :heavy_minus_sign: | | 2002 | TACIT: A Target-Agnostic Feature Disentanglement Framework for Cross-Domain Text Classification | [![GitHub](https://img.shields.io/github/stars/songruiecho/TACIT?style=flat)](https://github.com/songruiecho/TACIT) | [![arXiv](https://img.shields.io/badge/arXiv-2312.17263-b31b1b.svg)](https://arxiv.org/abs/2312.17263) | :heavy_minus_sign: | | 9706 | Discrete Cycle-Consistency based Unsupervised Deep Graph Matching | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 3130 | Beyond Mimicking Under-Represented Emotions: Deep Data Augmentation with Emotional Subspace Constraints for EEG-based Emotion Recognition | [![GitHub](https://img.shields.io/github/stars/tczhangzhi/PyTorch-ESCGAN?style=flat)](https://github.com/tczhangzhi/PyTorch-ESCGAN) | :heavy_minus_sign: | :heavy_minus_sign: | | 3985 | Adaptive Feature Imputation with Latent Graph for Deep Incomplete Multi-View Clustering | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 2167 | F3-Pruning: A Training-Free and Generalized Pruning Strategy towards Faster and Finer Text-to-Video Synthesis | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.03459-b31b1b.svg)](https://arxiv.org/abs/2312.03459) | :heavy_minus_sign: | | 13193 | Distilling Autoregressive Models to Obtain High-Performance Non-Autoregressive Solvers for Vehicle Routing Problems with Faster Inference Speed | [![GitHub](https://img.shields.io/github/stars/xybFight/GNARKD?style=flat)](https://github.com/xybFight/GNARKD) | [![arXiv](https://img.shields.io/badge/arXiv-2312.12469-b31b1b.svg)](https://arxiv.org/abs/2312.12469) | :heavy_minus_sign: | | 2770 | DreamIdentity: Enhanced Editability for Efficient Face-Identity Preserved Image Generation | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 13283 | Encoding Constraints as Binary Constraint Networks Satisfying BTP | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 11395 | ProAgent: Building Proactive Cooperative Agents with Large Language Models | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://pku-proagent.github.io/)
[![GitHub](https://img.shields.io/github/stars/PKU-Alignment/ProAgent?style=flat)](https://github.com/PKU-Alignment/ProAgent) | [![arXiv](https://img.shields.io/badge/arXiv-2308.11339-b31b1b.svg)](https://arxiv.org/abs/2308.11339) | :heavy_minus_sign: | | 4719 | Separate the Wheat from the Chaff: Model Deficiency Unlearning via Parameter-Efficient Module Operation | [![GitHub](https://img.shields.io/github/stars/HITsz-TMG/Ext-Sub?style=flat)](https://github.com/HITsz-TMG/Ext-Sub) | [![arXiv](https://img.shields.io/badge/arXiv-2308.08090-b31b1b.svg)](https://arxiv.org/abs/2308.08090) | :heavy_minus_sign: | | 6330 | Unsupervised Continual Anomaly Detection with Contrastively-Learned Prompt | [![GitHub](https://img.shields.io/github/stars/shirowalker/UCAD?style=flat)](https://github.com/shirowalker/UCAD) | [![arXiv](https://img.shields.io/badge/arXiv-2401.01010-b31b1b.svg)](https://arxiv.org/abs/2401.01010) | :heavy_minus_sign: | | 4603 | PPIDSG: A Privacy-Preserving Image Distribution Sharing Scheme with GAN in Federated Learning | [![GitHub](https://img.shields.io/github/stars/ytingma/PPIDSG?style=flat)](https://github.com/ytingma/PPIDSG) | [![arXiv](https://img.shields.io/badge/arXiv-2312.10380-b31b1b.svg)](https://arxiv.org/abs/2312.10380) | :heavy_minus_sign: | | 6188 | Understanding Distributed Representations of Concepts in Deep Neural Networks without Supervision | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.17285-b31b1b.svg)](https://arxiv.org/abs/2312.17285) | :heavy_minus_sign: | | 7602 | Continuous-Time Graph Representation with Sequential Survival Process | [![GitHub](https://img.shields.io/github/stars/abdcelikkanat/grassp?style=flat)](https://github.com/abdcelikkanat/grassp) | [![arXiv](https://img.shields.io/badge/arXiv-2312.13068-b31b1b.svg)](https://arxiv.org/abs/2312.13068) | :heavy_minus_sign: | | 742 | Phoneme Hallucinator: One-Shot Voice Conversion via Set Expansion | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://phonemehallucinator.github.io/)
[![GitHub](https://img.shields.io/github/stars/shansiliu95/Phoneme_Hallucinator?style=flat)](https://github.com/shansiliu95/Phoneme_Hallucinator) | [![arXiv](https://img.shields.io/badge/arXiv-2308.06382-b31b1b.svg)](https://arxiv.org/abs/2308.06382) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=nWK3tRGdn4k) | | 7050 | Robust Blind Text Image Deblurring via Maximum Consensus Framework | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 9491 | Automatic Core-Guided Reformulation via Constraint Explanation and Condition Learning | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 3486 | Discriminatively Fuzzy Multi-View K-means Clustering with Local Structure Preserving | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 3785 | Linear-Time Algorithms for Front-Door Adjustment in Causal Graphs | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2211.16468-b31b1b.svg)](https://arxiv.org/abs/2211.16468) | :heavy_minus_sign: | | 4113 | Data-Driven Knowledge-Aware Inference of Private Information in Continuous Double Auctions | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 9375 | LGMRec: Local and Global Graph Learning for Multimodal Recommendation | [![GitHub](https://img.shields.io/github/stars/georgeguo-cn/LGMRec?style=flat)](https://github.com/georgeguo-cn/LGMRec) | [![arXiv](https://img.shields.io/badge/arXiv-2312.16400-b31b1b.svg)](https://arxiv.org/abs/2312.16400) | :heavy_minus_sign: | | 6245 | A Comprehensive Augmentation Framework for Anomaly Detection | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2308.15068-b31b1b.svg)](https://arxiv.org/abs/2308.15068) | :heavy_minus_sign: | | 4405 | Robust Few-Shot Named Entity Recognition with Boundary Discrimination and Correlation Purification | [![GitHub](https://img.shields.io/github/stars/ckgconstruction/bdcp?style=flat)](https://github.com/ckgconstruction/bdcp) | [![arXiv](https://img.shields.io/badge/arXiv-2312.07961-b31b1b.svg)](https://arxiv.org/abs/2312.07961) | :heavy_minus_sign: | | 12516 | MULTISCRIPT: Multimodal Script Learning for Supporting Open Domain Everyday Tasks | [![GitHub](https://img.shields.io/github/stars/VT-NLP/MultiScript?style=flat)](https://github.com/VT-NLP/MultiScript) | [![arXiv](https://img.shields.io/badge/arXiv-2310.04965-b31b1b.svg)](https://arxiv.org/abs/2310.04965) | :heavy_minus_sign: | | 13009 | Structural Information Enhanced Graph Representation for Link Prediction | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 4851 | Voxel or Pillar: Exploring Efficient Point Cloud Representation for 3D Object Detection | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 5721 | FT-GAN: Fine-Grained Tune Modeling for Chinese Opera Synthesis | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 1920 | Jointly Improving the Sample and Communication Complexities in Decentralized Stochastic Minimax Optimization | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2307.09421-b31b1b.svg)](https://arxiv.org/abs/2307.09421) | :heavy_minus_sign: | | 7384 | H2GFormer: Horizontal-to-Global Voxel Transformer for 3D Semantic Scene Completion | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 10352 | Get an A in Math: Progressive Rectification Prompting | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://wzy6642.github.io/prp.github.io/)
[![GitHub](https://img.shields.io/github/stars/wzy6642/PRP?style=flat)](https://github.com/wzy6642/PRP) | [![arXiv](https://img.shields.io/badge/arXiv-2312.06867-b31b1b.svg)](https://arxiv.org/abs/2312.06867) | :heavy_minus_sign: | | 7308 | Enhancing Semi-Supervised Domain Adaptation via Effective Target Labeling | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-1905.05382-b31b1b.svg)](https://arxiv.org/abs/1905.05382) | :heavy_minus_sign: | | 5614 | Spatial-Semantic Collaborative Cropping for User Generated Content | [![GitHub](https://img.shields.io/github/stars/suyukun666/S2CNet?style=flat)](https://github.com/suyukun666/S2CNet) | [![arXiv](https://img.shields.io/badge/arXiv-2401.08086-b31b1b.svg)](https://arxiv.org/abs/2401.08086) | :heavy_minus_sign: | | 4962 | Confucius: Iterative Tool Learning from Introspection Feedback by Easy-to-Difficult Curriculum | [![GitHub](https://img.shields.io/github/stars/shizhl/Confucius?style=flat)](https://github.com/shizhl/Confucius) | [![arXiv](https://img.shields.io/badge/arXiv-2308.14034-b31b1b.svg)](https://arxiv.org/abs/2308.14034) | :heavy_minus_sign: | | 7232 | Independency Adversarial Learning for Cross-Modal Sound Separation | [![GitHub](https://img.shields.io/github/stars/ZhenkaiLin/IAL-CMS?style=flat)](https://github.com/ZhenkaiLin/IAL-CMS) | :heavy_minus_sign: | :heavy_minus_sign: | | 5864 | CPN: Complementary Proposal Network for Unconstrained Text Detection | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2402.11540-b31b1b.svg)](https://arxiv.org/abs/2402.11540) | :heavy_minus_sign: | | 1102 | Visual Redundancy Removal for Composite Images: A Benchmark Dataset and a Multi-Visual-Effects Driven Incremental Method | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 12049 | Reinforcement Learning as a Parsimonious Alternative to Prediction Cascades: A Case Study on Image Segmentation | [![GitHub](https://img.shields.io/github/stars/scailab/paser?style=flat)](https://github.com/scailab/paser) | [![arXiv](https://img.shields.io/badge/arXiv-2402.11760-b31b1b.svg)](https://arxiv.org/abs/2402.11760) | :heavy_minus_sign: | | 3533 | Expand-and-Quantize: Unsupervised Semantic Segmentation using High-Dimensional Space and Product Quantization | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.07342-b31b1b.svg)](https://arxiv.org/abs/2312.07342) | :heavy_minus_sign: | | 4385 | Learning Invariant Inter-Pixel Correlations for Superpixel Generation | [![GitHub](https://img.shields.io/github/stars/rookiie/CDSpixel?style=flat)](https://github.com/rookiie/CDSpixel) | :heavy_minus_sign: | :heavy_minus_sign: | | 5876 | Constrained Bayesian Optimization under Partial Observations: Balanced Improvements and Provable Convergence | [![GitHub](https://img.shields.io/github/stars/COLA-Laboratory/CBOB?style=flat)](https://github.com/COLA-Laboratory/CBOB) | [![arXiv](https://img.shields.io/badge/arXiv-2312.03212-b31b1b.svg)](https://arxiv.org/abs/2312.03212) | :heavy_minus_sign: | | 5216 | Augmented Commonsense Knowledge for Remote Object Grounding | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 4071 | An Efficient Knowledge Transfer Strategy for Spiking Neural Networks from Static to Event Domain | [![GitHub](https://img.shields.io/github/stars/Brain-Cog-Lab/Transfer-for-DVS?style=flat)](https://github.com/Brain-Cog-Lab/Transfer-for-DVS) | [![arXiv](https://img.shields.io/badge/arXiv-2303.13077-b31b1b.svg)](https://arxiv.org/abs/2303.13077) | :heavy_minus_sign: | | 5448 | Sample-and-Bound for Non-Convex Optimization | [![GitHub](https://img.shields.io/github/stars/aaucsd/MCIR?style=flat)](https://github.com/aaucsd/MCIR) | [![arXiv](https://img.shields.io/badge/arXiv-2401.04812-b31b1b.svg)](https://arxiv.org/abs/2401.04812) | :heavy_minus_sign: | | 744 | FedGCR: Achieving Performance and Fairness for Federated Learning with Distinct Client Types via Group Customization and Reweighting | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 10849 | Safe Abductive Learning in the Presence of Inaccurate Rules | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 5284 | Data Distribution Distilled Generative Model for Generalized Zero-Shot Recognition | [![GitHub](https://img.shields.io/github/stars/PJBQ/D3GZSL?style=flat)](https://github.com/PJBQ/D3GZSL) | [![arXiv](https://img.shields.io/badge/arXiv-2402.11424-b31b1b.svg)](https://arxiv.org/abs/2402.11424) | :heavy_minus_sign: | | 7732 | Online Markov Decision Processes Configuration with Continuous Decision Space | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 5758 | SAVSR: Arbitrary-Scale Video Super-Resolution via a Learned Scale-Adaptive Network | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 13746 | All Should Be Equal in the Eyes of LMs: Counterfactually Aware Fair Text Generation | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 3461 | Efficient Constraint Generation for Stochastic Shortest Path Problems | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2401.14636-b31b1b.svg)](https://arxiv.org/abs/2401.14636) | :heavy_minus_sign: | | 10773 | TC-LIF: A Two-Compartment Spiking Neuron Model for Long-Term Sequential Modelling | [![GitHub](https://img.shields.io/github/stars/ZhangShimin1/TC-LIF?style=flat)](https://github.com/ZhangShimin1/TC-LIF) | [![arXiv](https://img.shields.io/badge/arXiv-2308.13250-b31b1b.svg)](https://arxiv.org/abs/2308.13250) | :heavy_minus_sign: | | 4361 | Towards Explainable Joint Models via Information Theory for Multiple Intent Detection and Slot Filling | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 8694 | Exploring One-Shot Semi-Supervised Federated Learning with Pre-trained Diffusion Models | [![GitHub](https://img.shields.io/github/stars/MingzhaoYang/FedDISC?style=flat)](https://github.com/MingzhaoYang/FedDISC) | [![arXiv](https://img.shields.io/badge/arXiv-2305.04063-b31b1b.svg)](https://arxiv.org/abs/2305.04063) | :heavy_minus_sign: | | 10811 | Critic-Guided Decision Transformer for Offline Reinforcement Learning | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.13716-b31b1b.svg)](https://arxiv.org/abs/2312.13716) | :heavy_minus_sign: | | 2260 | EarthVQA: Towards Queryable Earth via Relational Reasoning-based Remote Sensing Visual Question Answering | [![WEB Page](https://img.shields.io/badge/WEB-Page-159957.svg)](https://junjuewang.top/EarthVQA) | [![arXiv](https://img.shields.io/badge/arXiv-2312.12222-b31b1b.svg)](https://arxiv.org/abs/2312.12222) | :heavy_minus_sign: | | 4967 | HONGAT: Graph Attention Networks in the Presence of High-Order Neighbors | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 9380 | Exploiting Auxiliary Caption for Video Grounding | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 90 | The Logic of Doxastic Strategies | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.07107-b31b1b.svg)](https://arxiv.org/abs/2312.07107) | :heavy_minus_sign: | | 2798 | Optimised Storage for Datalog Reasoning | [![GitHub](https://img.shields.io/github/stars/xyzBubble/OptimiseStorage_DatalogReasoning_benchmarks?style=flat)](https://github.com/xyzBubble/OptimiseStorage_DatalogReasoning_benchmarks) | [![arXiv](https://img.shields.io/badge/arXiv-2312.11297-b31b1b.svg)](https://arxiv.org/abs/2312.11297) | :heavy_minus_sign: | | 3114 | Shaping Up SHAP: Enhancing Stability through Layer-Wise Neighbor Selection | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.12115-b31b1b.svg)](https://arxiv.org/abs/2312.12115) | :heavy_minus_sign: | | 6978 | ERL-TD: Evolutionary Reinforcement Learning Enhanced with Truncated Variance and Distillation Mutation | [![GitHub](https://img.shields.io/github/stars/2019cyf/ERL-TD?style=flat)](https://github.com/2019cyf/ERL-TD) | :heavy_minus_sign: | :heavy_minus_sign: | | 712 | MetaMix: Meta-State Precision Searcher for Mixed-Precision Activation Quantization | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2311.06798-b31b1b.svg)](https://arxiv.org/abs/2311.06798) | :heavy_minus_sign: | | 2010 | TCI-Former: Thermal Conduction-Inspired Transformer for Infrared Small Target Detection | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2402.02046-b31b1b.svg)](https://arxiv.org/abs/2402.02046) | :heavy_minus_sign: | | 2838 | VELMA: Verbalization Embodiment of LLM Agents for Vision and Language Navigation in Street View | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2307.06082-b31b1b.svg)](https://arxiv.org/abs/2307.06082) | :heavy_minus_sign: | | 4239 | CAMEL: Capturing Metaphorical Alignment with Context Disentangling for Multimodal Emotion Recognition | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 7789 | Heterogeneous Graph Reasoning for Fact Checking over Texts and Tables | [![GitHub](https://img.shields.io/github/stars/Deno-V/HeterFC?style=flat)](https://github.com/Deno-V/HeterFC) | [![arXiv](https://img.shields.io/badge/arXiv-2402.13028-b31b1b.svg)](https://arxiv.org/abs/2402.13028) | :heavy_minus_sign: | | 2915 | Aligner2: Enhancing Joint Multiple Intent Detection and Slot Filling via Adjustive and Forced Cross-Task Alignment | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 2213 | Rethinking Reverse Distillation for Multi-Modal Anomaly Detection | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 324 | MELO: Enhancing Model Editing with Neuron-Indexed Dynamic LoRA | [![GitHub](https://img.shields.io/github/stars/ECNU-ICALK/MELO?style=flat)](https://github.com/ECNU-ICALK/MELO) | [![arXiv](https://img.shields.io/badge/arXiv-2312.11795-b31b1b.svg)](https://arxiv.org/abs/2312.11795) | :heavy_minus_sign: | | 9339 | Self-Supervised Multi-Modal Knowledge Graph Contrastive Hashing for Cross-Modal Search | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 4235 | Towards Making Learnware Specification and Market Evolvable | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 1525 | Generalize for Future: Slow and Fast Trajectory Learning for CTR Prediction | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 6538 | Accelerating Text-to-Image Editing via Cache-Enabled Sparse Diffusion Inference | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2305.17423-b31b1b.svg)](https://arxiv.org/abs/2305.17423) | :heavy_minus_sign: | | 5094 | STAS: Spatial-Temporal Return Decomposition for Multi-Agent Reinforcement Learning | [![GitHub](https://img.shields.io/github/stars/zowiezhang/STAS?style=flat)](https://github.com/zowiezhang/STAS) | [![arXiv](https://img.shields.io/badge/arXiv-2304.07520-b31b1b.svg)](https://arxiv.org/abs/2304.07520) | :heavy_minus_sign: | | 7400 | DexFuncGrasp: A Robotic Dexterous Functional Grasp Dataset Constructed from a Cost-Effective Real-Simulation Annotation System | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://hjlllll.github.io/DFG/)
[![GitHub](https://img.shields.io/github/stars/hjlllll/DexFuncGrasp?style=flat)](https://github.com/hjlllll/DexFuncGrasp) | :heavy_minus_sign: | :heavy_minus_sign: | | 1142 | SUF: Stabilized Unconstrained Fine-Tuning for Offline-to-Online Reinforcement Learning | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 4635 | Enhancing Job Recommendation through LLM-based Generative Adversarial Networks | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2307.10747-b31b1b.svg)](https://arxiv.org/abs/2307.10747) | :heavy_minus_sign: | | 8325 | Spear and Shield: Adversarial Attacks and Defense Methods for Model-based Link Prediction on Continuous-Time Dynamic Graphs | [![GitHub](https://img.shields.io/github/stars/wooner49/T-spear-shield?style=flat)](https://github.com/wooner49/T-spear-shield) | [![arXiv](https://img.shields.io/badge/arXiv-2308.10779-b31b1b.svg)](https://arxiv.org/abs/2308.10779) | :heavy_minus_sign: | | 12408 | Effectiveness of Constant Stepsize in Markovian LSA and Statistical Inference | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.10894-b31b1b.svg)](https://arxiv.org/abs/2312.10894) | :heavy_minus_sign: | | 7429 | Fast Inter-Frame Motion Prediction for Compressed Dynamic Point Cloud Attribute Enhancement | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 7545 | ASWT-SGNN: Adaptive Spectral Wavelet Transform-based Self-Supervised Graph Neural Network | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.05736-b31b1b.svg)](https://arxiv.org/abs/2312.05736) | :heavy_minus_sign: | | 8899 | DGCLUSTER: A Neural Framework for Attributed Graph Clustering via Modularity Maximization | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.12697-b31b1b.svg)](https://arxiv.org/abs/2312.12697) | :heavy_minus_sign: | | 7863 | Model Counting and Sampling via Semiring Extensions | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 1495 | Collaborative Weakly Supervised Video Correlation Learning for Procedure-Aware Instructional Video Analysis | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.11024-b31b1b.svg)](https://arxiv.org/abs/2312.11024) | :heavy_minus_sign: | | 6361 | AdaFormer: Efficient Transformer with Adaptive Token Sparsification for Image Super-Resolution | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 7136 | The Causal Impact of Credit Lines on Spending Distributions | [![GitHub](https://img.shields.io/github/stars/lyjsilence/The-Causal-Impact-of-Credit-Lines-on-Spending-Distributions?style=flat)](https://github.com/lyjsilence/The-Causal-Impact-of-Credit-Lines-on-Spending-Distributions) | [![arXiv](https://img.shields.io/badge/arXiv-2312.10388-b31b1b.svg)](https://arxiv.org/abs/2312.10388) | :heavy_minus_sign: | | 5579 | Adversarial Robust Safeguard for Evading Deep Facial Manipulation | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 3305 | MetaRLEC: Meta-Reinforcement Learning for Discovery of Brain Effective Connectivity | [![GitHub](https://img.shields.io/github/stars/layzoom/MetaRLEC?style=flat)](https://github.com/layzoom/MetaRLEC) | :heavy_minus_sign: | :heavy_minus_sign: | | 7552 | MetaCARD: Meta-Reinforcement Learning with Task Uncertainty Feedback via Decoupled Context-Aware Reward and Dynamics Components | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 2096 | FMRNet: Image Deraining via Frequency Mutual Revision | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 6220 | Frozen CLIP Transformer is an Efficient Point Cloud Encoder | [![GitHub](https://img.shields.io/github/stars/XiaoshuiHuang/EPCL?style=flat)](https://github.com/XiaoshuiHuang/EPCL) | [![arXiv](https://img.shields.io/badge/arXiv-2212.04098-b31b1b.svg)](https://arxiv.org/abs/2212.04098) | :heavy_minus_sign: | | 8799 | SkyScript: A Large and Semantically Diverse Vision-Language Dataset for Remote Sensing | [![GitHub](https://img.shields.io/github/stars/wangzhecheng/SkyScript?style=flat)](https://github.com/wangzhecheng/SkyScript) | [![arXiv](https://img.shields.io/badge/arXiv-2312.12856-b31b1b.svg)](https://arxiv.org/abs/2312.12856) | :heavy_minus_sign: | | 7210 | ACT: Empowering Decision Transformer with Dynamic Programming via Advantage Conditioning | [![GitHub](https://img.shields.io/github/stars/LAMDA-RL/ACT?style=flat)](https://github.com/LAMDA-RL/ACT) | [![arXiv](https://img.shields.io/badge/arXiv-2309.05915-b31b1b.svg)](https://arxiv.org/abs/2309.05915) | :heavy_minus_sign: | | 1517 | Data Shunt: Collaboration of Small and Large Models for Lower Costs and Better Performance | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 7045 | SC-NeuS: Consistent Neural Surface Reconstruction from Sparse and Noisy Views | [![GitHub](https://img.shields.io/github/stars/zouzx/sc-neus?style=flat)](https://github.com/zouzx/sc-neus) | [![arXiv](https://img.shields.io/badge/arXiv-2307.05892-b31b1b.svg)](https://arxiv.org/abs/2307.05892) | :heavy_minus_sign: | ================================================ FILE: sections/2024/main/601_800.md ================================================ # AAAI-2024-Papers
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## 601-800 papers ![Section Papers](https://img.shields.io/badge/Section%20Papers-200-42BA16) ![Preprint Papers](https://img.shields.io/badge/Preprint%20Papers-117-b31b1b) ![Papers with Open Code](https://img.shields.io/badge/Papers%20with%20Open%20Code-77-1D7FBF) ![Papers with Video](https://img.shields.io/badge/Papers%20with%20Video-4-FF0000) | :id: | **Title** | **Repo** | **Paper** | **Video** | |------|-----------|:--------:|:---------:|:---------:| | 12614 | Root Cause Explanation of Outliers under Noisy Mechanisms | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.11818-b31b1b.svg)](https://arxiv.org/abs/2312.11818) | :heavy_minus_sign: | | 4568 | BLiRF: Bandlimited Radiance Fields for Dynamic Scene Modeling | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2302.13543-b31b1b.svg)](https://arxiv.org/abs/2302.13543) | :heavy_minus_sign: | | 1877 | EVE: Efficient Vision-Language Pre-training with Masked Prediction and Modality-Aware MoE | [![GitHub](https://img.shields.io/github/stars/ssyze/EVE?style=flat)](https://github.com/ssyze/EVE) | [![arXiv](https://img.shields.io/badge/arXiv-2308.11971-b31b1b.svg)](https://arxiv.org/abs/2308.11971) | :heavy_minus_sign: | | 6915 | De-biased Attention Supervision for Text Classification with Causality | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 1844 | Domain-Hallucinated Updating for Multi-Domain Face Anti-Spoofing | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 6081 | N-gram Unsupervised Compoundation and Feature Injection for Better Symbolic Music Understanding | [![GitHub](https://img.shields.io/github/stars/CinqueOrigin/NG-Midiformer?style=flat)](https://github.com/CinqueOrigin/NG-Midiformer) | [![arXiv](https://img.shields.io/badge/arXiv-2312.08931-b31b1b.svg)](https://arxiv.org/abs/2312.08931) | :heavy_minus_sign: | | 7979 | LRANet: Towards Accurate and Efficient Scene Text Detection with Low-Rank Approximation Network | [![GitHub](https://img.shields.io/github/stars/ychensu/LRANet?style=flat)](https://github.com/ychensu/LRANet) | [![arXiv](https://img.shields.io/badge/arXiv-2306.15142-b31b1b.svg)](https://arxiv.org/abs/2306.15142) | :heavy_minus_sign: | | 5862 | Quantifying and Analyzing Entity-Level Memorization in Large Language Models | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2308.15727-b31b1b.svg)](https://arxiv.org/abs/2308.15727) | :heavy_minus_sign: | | 7266 | Beyond Expected Return: Accounting for Policy Reproducibility when Evaluating Reinforcement Learning Algorithms | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.07178-b31b1b.svg)](https://arxiv.org/abs/2312.07178) | :heavy_minus_sign: | | 4764 | Self-Training based Few-Shot Node Classification by Knowledge Distillation | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 11500 | FairWASP: Fast and Optimal Fair Wasserstein Pre-Processing | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2311.00109-b31b1b.svg)](https://arxiv.org/abs/2311.00109) | :heavy_minus_sign: | | 9618 | Learning Reduced Fluid Dynamics | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 495 | MLNet: Mutual Learning Network with Neighborhood Invariance for Universal Domain Adaptation | [![GitHub](https://img.shields.io/github/stars/YanzuoLu/MLNet?style=flat)](https://github.com/YanzuoLu/MLNet) | [![arXiv](https://img.shields.io/badge/arXiv-2312.07871-b31b1b.svg)](https://arxiv.org/abs/2312.07871) | :heavy_minus_sign: | | 6520 | CMG-Net: Robust Normal Estimation for Point Clouds via Chamfer Normal Distance and Multi-Scale Geometry | [![GitHub](https://img.shields.io/github/stars/YingruiWoo/CMG-Net_Pytorch?style=flat)](https://github.com/YingruiWoo/CMG-Net_Pytorch) | [![arXiv](https://img.shields.io/badge/arXiv-2312.09154-b31b1b.svg)](https://arxiv.org/abs/2312.09154) | :heavy_minus_sign: | | 11606 | Elijah: Eliminating Backdoors Injected in Diffusion Models via Distribution Shift | [![GitHub](https://img.shields.io/github/stars/njuaplusplus/Elijah?style=flat)](https://github.com/njuaplusplus/Elijah) | [![arXiv](https://img.shields.io/badge/arXiv-2312.00050-b31b1b.svg)](https://arxiv.org/abs/2312.00050) | :heavy_minus_sign: | | 5869 | EDA: Evolving and Distinct Anchors for Multimodal Motion Prediction | [![GitHub](https://img.shields.io/github/stars/Longzhong-Lin/EDA?style=flat)](https://github.com/Longzhong-Lin/EDA) | [![arXiv](https://img.shields.io/badge/arXiv-2312.09501-b31b1b.svg)](https://arxiv.org/abs/2312.09501) | :heavy_minus_sign: | | 10281 | Exploiting Geometry for Treatment Effect Estimation via Optimal Transport | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 11434 | Non-Flat ABA is an Instance of Bipolar Argumentation | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2305.12453-b31b1b.svg)](https://arxiv.org/abs/2305.12453) | :heavy_minus_sign: | | 4039 | A New Mechanism for Eliminating Implicit Conflict in Graph Contrastive Learning | [![GitHub](https://img.shields.io/github/stars/hedongxiao-tju/PiGCL?style=flat)](https://github.com/hedongxiao-tju/PiGCL) | :heavy_minus_sign: | :heavy_minus_sign: | | 7038 | Question Calibration and Multi-Hop Modeling for Temporal Question Answering | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2402.13188-b31b1b.svg)](https://arxiv.org/abs/2402.13188) | :heavy_minus_sign: | | 10342 | Dynamic Feature Pruning and Consolidation for Occluded Person Re-Identification | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2211.14742-b31b1b.svg)](https://arxiv.org/abs/2211.14742) | :heavy_minus_sign: | | 4778 | Unveiling Details in the Dark: Simultaneous Brightening and Zooming for Low-Light Image Enhancement | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 4860 | SPEAL: Skeletal Prior Embedded Attention Learning for Cross-Source Point Cloud Registration | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.08664-b31b1b.svg)](https://arxiv.org/abs/2312.08664) | :heavy_minus_sign: | | 5522 | Attacks on Continual Semantic Segmentation by Perturbing Incremental Samples | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 12759 | A New Benchmark and Model for Challenging Image Manipulation Detection | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2311.14218-b31b1b.svg)](https://arxiv.org/abs/2311.14218) | :heavy_minus_sign: | | 4841 | Non-Stationary Projection-Free Online Learning with Dynamic and Adaptive Regret Guarantees | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2305.11726-b31b1b.svg)](https://arxiv.org/abs/2305.11726) | :heavy_minus_sign: | | 11428 | Combinatorial Stochastic-Greedy Bandit | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.08057-b31b1b.svg)](https://arxiv.org/abs/2312.08057) | :heavy_minus_sign: | | 666 | VMT-Adapter: Parameter-Efficient Transfer Learning for Multi-Task Dense Scene Understanding | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.08733-b31b1b.svg)](https://arxiv.org/abs/2312.08733) | :heavy_minus_sign: | | 5913 | Structure-CLIP: Towards Scene Graph Knowledge to Enhance Multi-Modal Structured Representations | [![GitHub](https://img.shields.io/github/stars/zjukg/Structure-CLIP?style=flat)](https://github.com/zjukg/Structure-CLIP) | [![arXiv](https://img.shields.io/badge/arXiv-2305.06152-b31b1b.svg)](https://arxiv.org/abs/2305.06152) | :heavy_minus_sign: | | 2712 | Learning Diverse Risk Preferences in Population-based Self-Play | [![GitHub](https://img.shields.io/github/stars/Jackory/RPBT?style=flat)](https://github.com/Jackory/RPBT) | [![arXiv](https://img.shields.io/badge/arXiv-2305.11476-b31b1b.svg)](https://arxiv.org/abs/2305.11476) | :heavy_minus_sign: | | 2424 | Zero-1-to-3: Domain-Level Zero-Shot Cognitive Diagnosis via One Batch of Early-Bird Students towards Three Diagnostic Objectives | [![GitHub](https://img.shields.io/github/stars/bigdata-ustc/Zero-1-to-3?style=flat)](https://github.com/bigdata-ustc/Zero-1-to-3) | [![arXiv](https://img.shields.io/badge/arXiv-2312.13434-b31b1b.svg)](https://arxiv.org/abs/2312.13434) | :heavy_minus_sign: | | 7465 | A Compiler for Weak Decomposable Negation Normal Form | [![GitHub](https://img.shields.io/github/stars/Illner/BellaModifiedD4-AAAI24?style=flat)](https://github.com/Illner/BellaModifiedD4-AAAI24) | :heavy_minus_sign: | :heavy_minus_sign: | | 713 | Towards Balanced Alignment: Modal-Enhanced Semantic Modeling for Video Moment Retrieval | [![GitHub](https://img.shields.io/github/stars/lntzm/MESM?style=flat)](https://github.com/lntzm/MESM) | [![arXiv](https://img.shields.io/badge/arXiv-2312.12155-b31b1b.svg)](https://arxiv.org/abs/2312.12155) | :heavy_minus_sign: | | 4331 | Uncovering and Mitigating the Hidden Chasm: A Study on the Text-Text Domain Gap in Euphemism Identification | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 7033 | Perturbation-Invariant Adversarial Training for Neural Ranking Models: Improving the Effectiveness-Robustness Trade-Off | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.10329-b31b1b.svg)](https://arxiv.org/abs/2312.10329) | :heavy_minus_sign: | | 1868 | A Non-Parametric Graph Clustering Framework for Multi-View Data | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 1024 | Recurrent Partial Kernel Network for Efficient Optical Flow Estimation | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 6132 | DGPO: Discovering Multiple Strategies with Diversity-Guided Policy Optimization | [![GitHub](https://img.shields.io/github/stars/OpenRL-Lab/DGPO?style=flat)](https://github.com/OpenRL-Lab/DGPO) | [![arXiv](https://img.shields.io/badge/arXiv-2207.05631-b31b1b.svg)](https://arxiv.org/abs/2207.05631) | :heavy_minus_sign: | | 7237 | VITA: 'Carefully Chosen and Weighted Less' is Better in Medication Recommendation | [![GitHub](https://img.shields.io/github/stars/jhheo0123/VITA?style=flat)](https://github.com/jhheo0123/VITA) | [![arXiv](https://img.shields.io/badge/arXiv-2312.12100-b31b1b.svg)](https://arxiv.org/abs/2312.12100) | :heavy_minus_sign: | | 8125 | Integrated Decision Gradients: Compute Your Attributions where the Model Makes its Decision | [![GitHub](https://img.shields.io/github/stars/chasewalker26/Integrated-Decision-Gradients?style=flat)](https://github.com/chasewalker26/Integrated-Decision-Gradients) | [![arXiv](https://img.shields.io/badge/arXiv-2305.20052-b31b1b.svg)](https://arxiv.org/abs/2305.20052) | :heavy_minus_sign: | | 4150 | Object-Aware Domain Generalization for Object Detection | [![GitHub](https://img.shields.io/github/stars/WoojuLee24/OA-DG?style=flat)](https://github.com/WoojuLee24/OA-DG) | [![arXiv](https://img.shields.io/badge/arXiv-2312.12133-b31b1b.svg)](https://arxiv.org/abs/2312.12133) | :heavy_minus_sign: | | 7618 | Triple Feature Disentanglement for One-Stage Adaptive Object Detection | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 9484 | HybridGait: A Benchmark for Spatial-Temporal Cloth-Changing Gait Recognition with Hybrid Explorations | [![GitHub](https://img.shields.io/github/stars/HCVLab/HybridGait?style=flat)](https://github.com/HCVLab/HybridGait) | [![arXiv](https://img.shields.io/badge/arXiv-2401.00271-b31b1b.svg)](https://arxiv.org/abs/2401.00271) | :heavy_minus_sign: | | 2508 | OVD-Explorer: Optimism Should not Be the Sole Pursuit of Exploration in Noisy Environments | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.12145-b31b1b.svg)](https://arxiv.org/abs/2312.12145) | :heavy_minus_sign: | | 4620 | Semi-Supervised 3D Object Detection with PatchTeacher and PillarMix | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 9409 | Influential Exemplar Replay for Incremental Learning in Recommender Systems | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 5229 | Mining Fine-Grained Image-Text Alignment for Zero-Shot Captioning via Text-Only Training | [![GitHub](https://img.shields.io/github/stars/Artanic30/MacCap?style=flat)](https://github.com/Artanic30/MacCap) | [![arXiv](https://img.shields.io/badge/arXiv-2401.02347-b31b1b.svg)](https://arxiv.org/abs/2401.02347) | :heavy_minus_sign: | | 13768 | ND-MRM: Neuronal Diversity Inspired Multisensory Recognition Model | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 10735 | Abstract and Explore: A Novel Behavioral Metric with Cyclic Dynamics in Reinforcement Learning | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 748 | Combating Data Imbalances in Federated Semi-Supervised Learning with Dual Regulators | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2307.05358-b31b1b.svg)](https://arxiv.org/abs/2307.05358) | :heavy_minus_sign: | | 8186 | On Computing Makespan-Optimal Solutions for Generalized Sliding-Tile Puzzles | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.10887-b31b1b.svg)](https://arxiv.org/abs/2312.10887) | :heavy_minus_sign: | | 2187 | Fast and Controllable Post-Training Sparsity: Learning Optimal Sparsity Allocation with Global Constraint in Minutes | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 5798 | Step Vulnerability Guided Mean Fluctuation Adversarial Attack against Conditional Diffusion Models | [![GitHub](https://img.shields.io/github/stars/yuhongwei22/MFA?style=flat)](https://github.com/yuhongwei22/MFA) | :heavy_minus_sign: | :heavy_minus_sign: | | 5362 | LDMVFI: Video Frame Interpolation with Latent Diffusion Models | [![GitHub](https://img.shields.io/github/stars/danier97/LDMVFI?style=flat)](https://github.com/danier97/LDMVFI) | [![arXiv](https://img.shields.io/badge/arXiv-2303.09508-b31b1b.svg)](https://arxiv.org/abs/2303.09508) | :heavy_minus_sign: | | 3007 | Curved Representation Space of Vision Transformers | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2210.05742-b31b1b.svg)](https://arxiv.org/abs/2210.05742) | :heavy_minus_sign: | | 3574 | SyFormer: Structure-Guided Synergism Transformer for Large-Portion Image Inpainting | [![GitHub](https://img.shields.io/github/stars/ZhengJianwei2/SyFormer?style=flat)](https://github.com/ZhengJianwei2/SyFormer) | :heavy_minus_sign: | :heavy_minus_sign: | | 8393 | Bias-Conflict Sample Synthesis and Adversarial Removal Debias Strategy for Temporal Sentence Grounding in Video | [![GitHub](https://img.shields.io/github/stars/qzhb/BSSARD?style=flat)](https://github.com/qzhb/BSSARD) | [![arXiv](https://img.shields.io/badge/arXiv-2401.07567-b31b1b.svg)](https://arxiv.org/abs/2401.07567) | :heavy_minus_sign: | | 11000 | Data Disparity and Temporal Unavailability Aware Asynchronous Federated Learning for Predictive Maintenance on Transportation Fleets | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 6239 | DLCA-Recon: Dynamic Loose Clothing Avatar Reconstruction from Monocular Videos | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.12096-b31b1b.svg)](https://arxiv.org/abs/2312.12096) | :heavy_minus_sign: | | 5438 | Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression | [![GitHub](https://img.shields.io/github/stars/ENSTA-U2IS-AI/DIDO?style=flat)](https://github.com/ENSTA-U2IS-AI/DIDO) | [![arXiv](https://img.shields.io/badge/arXiv-2308.09065-b31b1b.svg)](https://arxiv.org/abs/2308.09065) | :heavy_minus_sign: | | 7262 | Social Physics Informed Diffusion Model for Crowd Simulation | [![GitHub](https://img.shields.io/github/stars/tsinghua-fib-lab/SPDiff?style=flat)](https://github.com/tsinghua-fib-lab/SPDiff) | [![arXiv](https://img.shields.io/badge/arXiv-2402.06680-b31b1b.svg)](https://arxiv.org/abs/2402.06680) | :heavy_minus_sign: | | 7731 | Sketched Newton Value Iteration for Large-Scale Markov Decision Processes | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 7759 | Piecewise Linear Transformation – Propagating Aleatoric Uncertainty in Neural Networks | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 684 | Progressive Feature Self-Reinforcement for Weakly Supervised Semantic Segmentation | [![GitHub](https://img.shields.io/github/stars/Jessie459/feature-self-reinforcement?style=flat)](https://github.com/Jessie459/feature-self-reinforcement) | [![arXiv](https://img.shields.io/badge/arXiv-2312.08916-b31b1b.svg)](https://arxiv.org/abs/2312.08916) | :heavy_minus_sign: | | 4770 | GOODAT: Towards Test-Time Graph Out-of-Distribution Detection | [![GitHub](https://img.shields.io/github/stars/Ee1s/GOODAT?style=flat)](https://github.com/Ee1s/GOODAT) | [![arXiv](https://img.shields.io/badge/arXiv-2401.06176-b31b1b.svg)](https://arxiv.org/abs/2401.06176) | :heavy_minus_sign: | | 7217 | Discriminative Forests Improve Generative Diversity for Generative Adversarial Networks | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 8880 | Terrain Diffusion Network: Climatic-Aware Terrain Generation with Geological Sketch Guidance | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2308.16725-b31b1b.svg)](https://arxiv.org/abs/2308.16725) | :heavy_minus_sign: | | 5196 | CoPL: Contextual Prompt Learning for Vision-Language Understanding | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2307.00910-b31b1b.svg)](https://arxiv.org/abs/2307.00910) | :heavy_minus_sign: | | 3605 | Fractional Deep Reinforcement Learning for Age-Minimal Mobile Edge Computing | [![GitHub](https://img.shields.io/github/stars/Lendle-King/Fractional-Deep-Reinforcement-Learning-for-Age-Minimal-Mobile-Edge-Computing?style=flat)](https://github.com/Lendle-King/Fractional-Deep-Reinforcement-Learning-for-Age-Minimal-Mobile-Edge-Computing) | [![arXiv](https://img.shields.io/badge/arXiv-2312.10418-b31b1b.svg)](https://arxiv.org/abs/2312.10418) | :heavy_minus_sign: | | 10025 | A Fast Exact Solver with Theoretical Analysis for the Maximum Edge-Weighted Clique Problem | [![GitHub](https://img.shields.io/github/stars/afkbrb/MEWCat?style=flat)](https://github.com/afkbrb/MEWCat) | :heavy_minus_sign: | :heavy_minus_sign: | | 6314 | W2P: Switching from Weak Supervision to Partial Supervision for Semantic Segmentation | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 5202 | Imagine, Initialize, and Explore: An Effective Exploration Method in Multi-Agent Reinforcement Learning | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2402.17978-b31b1b.svg)](https://arxiv.org/abs/2402.17978) | :heavy_minus_sign: | | 6589 | KD-Club: An Efficient Exact Algorithm with New Coloring-based Upper Bound for the Maximum k-Defective Clique Problem | [![GitHub](https://img.shields.io/github/stars/JHL-HUST/KD-Club?style=flat)](https://github.com/JHL-HUST/KD-Club) | [![arXiv](https://img.shields.io/badge/arXiv-2308.07235-b31b1b.svg)](https://arxiv.org/abs/2308.07235) | :heavy_minus_sign: | | 10049 | Directed Diffusion: Direct Control of Object Placement through Attention Guidance | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://hohonu-vicml.github.io/DirectedDiffusion.Page/)
[![GitHub](https://img.shields.io/github/stars/hohonu-vicml/DirectedDiffusion?style=flat)](https://github.com/hohonu-vicml/DirectedDiffusion) | [![arXiv](https://img.shields.io/badge/arXiv-2302.13153-b31b1b.svg)](https://arxiv.org/abs/2302.13153) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=L4ijMG1mXGI) | | 7146 | Intra- and Inter-Group Optimal Transport for User-Oriented Fairness in Recommender Systems | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 10071 | Visual Hallucination Elevates Speech Recognition | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 11295 | Causal Adversarial Perturbations for Individual Fairness and Robustness in Heterogeneous Data Spaces | [![GitHub](https://img.shields.io/github/stars/Ehyaei/CAPIFY?style=flat)](https://github.com/Ehyaei/CAPIFY) | [![arXiv](https://img.shields.io/badge/arXiv-2308.08938-b31b1b.svg)](https://arxiv.org/abs/2308.08938) | :heavy_minus_sign: | | 4215 | Comprehensive Visual Grounding for Video Description | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 6931 | Multilevel Attention Network with Semi-Supervised Domain Adaptation for Drug-Target Prediction | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 8226 | The Complexity of Computing Robust Mediated Equilibria in Ordinal Games Vincent Conitzer | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 3539 | STAIR: Spatial-Temporal Reasoning with Auditable Intermediate Results for Video Question Answering | [![GitHub](https://img.shields.io/github/stars/yellow-binary-tree/STAIR?style=flat)](https://github.com/yellow-binary-tree/STAIR) | [![arXiv](https://img.shields.io/badge/arXiv-2401.03901-b31b1b.svg)](https://arxiv.org/abs/2401.03901) | :heavy_minus_sign: | | 423 | CatFormer: Category-Level 6D Object Pose Estimation with Transformer | [![GitHub](https://img.shields.io/github/stars/BIT-robot-group/CatFormer?style=flat)](https://github.com/BIT-robot-group/CatFormer) | :heavy_minus_sign: | :heavy_minus_sign: | | 3907 | Parallel Beam Search Algorithms for Domain-Independent Dynamic Programming | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 4735 | Deep Unfolded Network with Intrinsic Supervision for Pan-Sharpening | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 10424 | Learning to Pivot as a Smart Expert | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2308.08171-b31b1b.svg)](https://arxiv.org/abs/2308.08171) | :heavy_minus_sign: | | 7434 | Weakly Supervised Semantic Segmentation for Driving Scenes | [![GitHub](https://img.shields.io/github/stars/k0u-id/CARB?style=flat)](https://github.com/k0u-id/CARB) | [![arXiv](https://img.shields.io/badge/arXiv-2312.13646-b31b1b.svg)](https://arxiv.org/abs/2312.13646) | :heavy_minus_sign: | | 10588 | Non-Parametric Representation Learning with Kernels | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2309.02028-b31b1b.svg)](https://arxiv.org/abs/2309.02028) | :heavy_minus_sign: | | 13203 | Rethinking Robustness of Model Attributions | [![GitHub](https://img.shields.io/github/stars/ksandeshk/LENS?style=flat)](https://github.com/ksandeshk/LENS) | [![arXiv](https://img.shields.io/badge/arXiv-2312.10534-b31b1b.svg)](https://arxiv.org/abs/2312.10534) | :heavy_minus_sign: | | 5772 | SURER: Structure-Adaptive Unified Graph Neural Network for Multi-View Clustering | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 2412 | Sparse Variational Student-t Processes | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.05568-b31b1b.svg)](https://arxiv.org/abs/2312.05568) | :heavy_minus_sign: | | 9321 | GSDD: Generative Space Dataset Distillation for Image Super-Resolution | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 4099 | FedMut: Generalized Federated Learning via Stochastic Mutation | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 6531 | DR-Label: Label Deconstruction and Reconstruction of GNN Models for Catalysis Systems | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 3748 | CLIP-guided Federated Learning on Heterogeneity and Long-Tailed Data | [![GitHub](https://img.shields.io/github/stars/shijiangming1/CLIP2FL?style=flat)](https://github.com/shijiangming1/CLIP2FL) | [![arXiv](https://img.shields.io/badge/arXiv-2312.08648-b31b1b.svg)](https://arxiv.org/abs/2312.08648) | :heavy_minus_sign: | | 5245 | Point-PEFT: Parameter-Efficient Fine-Tuning for 3D Pre-trained Models | [![GitHub](https://img.shields.io/github/stars/Ivan-Tang-3D/Point-PEFT?style=flat)](https://github.com/Ivan-Tang-3D/Point-PEFT) | [![arXiv](https://img.shields.io/badge/arXiv-2310.03059-b31b1b.svg)](https://arxiv.org/abs/2310.03059) | :heavy_minus_sign: | | 2404 | Project-Fair and Truthful Mechanisms for Budget Aggregation | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2309.02613-b31b1b.svg)](https://arxiv.org/abs/2309.02613) | :heavy_minus_sign: | | 1007 | Identification of Necessary Semantic Undertakers in the Causal View for Image-Text Matching | [![GitHub](https://img.shields.io/github/stars/htzhang-code/NUIF?style=flat)](https://github.com/htzhang-code/NUIF) | :heavy_minus_sign: | :heavy_minus_sign: | | 5989 | PointPatchMix: Point Cloud Mixing with Patch Scoring | [![GitHub](https://img.shields.io/github/stars/winfred2027/PointPatchMix?style=flat)](https://github.com/winfred2027/PointPatchMix) | [![arXiv](https://img.shields.io/badge/arXiv-2303.06678-b31b1b.svg)](https://arxiv.org/abs/2303.06678) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=wQgPvKuzsCc) | | 7986 | Commonsense for Zero-Shot Natural Language Video Localization | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.17429-b31b1b.svg)](https://arxiv.org/abs/2312.17429) | :heavy_minus_sign: | | 1910 | REPrune: Channel Pruning via Kernel Representative Selection | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2402.17862-b31b1b.svg)](https://arxiv.org/abs/2402.17862) | :heavy_minus_sign: | | 6026 | Seeing Dark Videos via Self-Learned Bottleneck Neural Representation | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 8643 | NeBLa: Neural Beer-Lambert for 3D Reconstruction of Oral Structures from Panoramic Radiographs | [![GitHub](https://img.shields.io/github/stars/sihwa-park/nebla?style=flat)](https://github.com/sihwa-park/nebla) | [![arXiv](https://img.shields.io/badge/arXiv-2304.04027-b31b1b.svg)](https://arxiv.org/abs/2304.04027) | :heavy_minus_sign: | | 4611 | Towards Improved Proxy-based Deep Metric Learning via Data-Augmented Domain Adaptation | [![GitHub](https://img.shields.io/github/stars/Noahsark/DADA?style=flat)](https://github.com/Noahsark/DADA) | [![arXiv](https://img.shields.io/badge/arXiv-2401.00617-b31b1b.svg)](https://arxiv.org/abs/2401.00617) | :heavy_minus_sign: | | 2178 | FD3D: Exploiting Foreground Depth Map for Feature-Supervised Monocular 3D Object Detection | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 675 | Implicit Modeling of Non-rigid Objects with Cross-Category Signals | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.10246-b31b1b.svg)](https://arxiv.org/abs/2312.10246) | :heavy_minus_sign: | | 5120 | Thompson Sampling for Real-Valued Combinatorial Pure Exploration of Multi-Armed Bandit | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2308.10238-b31b1b.svg)](https://arxiv.org/abs/2308.10238) | :heavy_minus_sign: | | 7002 | Improving Neural Network Generalization on Data-Limited Regression with Doubly-Robust Boosting | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 5400 | Large-Scale Non-Convex Stochastic Constrained Distributionally Robust Optimization | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 6366 | QPEN: Quantum Projection and Quantum Entanglement Enhanced Network for Cross-Lingual Aspect-based Sentiment Analysis | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 7825 | Approximating the Shapley Value without Marginal Contributions | [![GitHub](https://img.shields.io/github/stars/kolpaczki/Approximating-the-Shapley-Value-without-Marginal-Contributions?style=flat)](https://github.com/kolpaczki/Approximating-the-Shapley-Value-without-Marginal-Contributions) | [![arXiv](https://img.shields.io/badge/arXiv-2302.00736-b31b1b.svg)](https://arxiv.org/abs/2302.00736) | :heavy_minus_sign: | | 4884 | SHaRPose: Sparse High-Resolution Representation for Human Pose Estimation | [![GitHub](https://img.shields.io/github/stars/AnxQ/sharpose?style=flat)](https://github.com/AnxQ/sharpose) | [![arXiv](https://img.shields.io/badge/arXiv-2312.10758-b31b1b.svg)](https://arxiv.org/abs/2312.10758) | :heavy_minus_sign: | | 13023 | Anchoring Path for Inductive Relation Prediction in Knowledge Graphs | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.13596-b31b1b.svg)](https://arxiv.org/abs/2312.13596) | :heavy_minus_sign: | | 877 | Distribution Matching for Multi-Task Learning of Classification Tasks: A Large-Scale Study on Faces and Beyond | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2401.01219-b31b1b.svg)](https://arxiv.org/abs/2401.01219) | :heavy_minus_sign: | | 5807 | FeatWalk: Enhancing Few-Shot Classification through Local View Leveraging | [![GitHub](https://img.shields.io/github/stars/exceefind/FeatWalk?style=flat)](https://github.com/exceefind/FeatWalk) | :heavy_minus_sign: | :heavy_minus_sign: | | 13381 | End-to-End Learning of LTLf Formulae by Faithful LTLf Encoding | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 4478 | Pano-NeRF: Synthesizing High Dynamic Range Novel Views with Geometry from Sparse Low Dynamic Range Panoramic Images | [![GitHub](https://img.shields.io/github/stars/Lu-Zhan/Pano-NeRF?style=flat)](https://github.com/Lu-Zhan/Pano-NeRF) | [![arXiv](https://img.shields.io/badge/arXiv-2312.15942-b31b1b.svg)](https://arxiv.org/abs/2312.15942) | :heavy_minus_sign: | | 7020 | Backpropagation through Agents | [![GitHub](https://img.shields.io/github/stars/LiZhYun/BackPropagationThroughAgents?style=flat)](https://github.com/LiZhYun/BackPropagationThroughAgents) | [![arXiv](https://img.shields.io/badge/arXiv-2401.12574-b31b1b.svg)](https://arxiv.org/abs/2401.12574) | :heavy_minus_sign: | | 12477 | Self-Prompt Mechanism for Few-Shot Image Recognition | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 6224 | ECHO-GL: Earnings Calls-Driven Heterogeneous Graph Learning for Stock Movement Prediction | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 4117 | An Embedding-Unleashing Video Polyp Segmentation Framework via Region Linking and Scale Alignment | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 7553 | A Goal Interaction Graph Planning Framework for Conversational Recommendation | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 1125 | A Dynamic Learning Method towards Realistic Compositional Zero-Shot Learning | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 13650 | LAFA: Multimodal Knowledge Graph Completion with Link Aware Fusion and Aggregation | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 8176 | Learning Safe Action Models with Partial Observability | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 6795 | DeepSaDe: Learning Neural Networks that Guarantee Domain Constraint Satisfaction | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2303.01141-b31b1b.svg)](https://arxiv.org/abs/2303.01141) | :heavy_minus_sign: | | 7131 | Lifting by Image - Leveraging Image Cues for Accurate 3D Human Pose Estimation | [![GitHub](https://img.shields.io/github/stars/zss171999645/LiftingByImage?style=flat)](https://github.com/zss171999645/LiftingByImage) | [![arXiv](https://img.shields.io/badge/arXiv-2312.15636-b31b1b.svg)](https://arxiv.org/abs/2312.15636) | :heavy_minus_sign: | | 6756 | Fine-Tuning Large Language Model based Explainable Recommendation with Explainable Quality Reward | [![GitHub](https://img.shields.io/github/stars/Yangmy412/LLM2ER-EQR?style=flat)](https://github.com/Yangmy412/LLM2ER-EQR) | :heavy_minus_sign: | :heavy_minus_sign: | | 1720 | Few Shot Part Segmentation Reveals Compositional Logic for Industrial Anomaly Detection | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.13783-b31b1b.svg)](https://arxiv.org/abs/2312.13783) | :heavy_minus_sign: | | 4751 | Temporal Adaptive RGBT Tracking with Modality Prompt | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2401.01244-b31b1b.svg)](https://arxiv.org/abs/2401.01244) | :heavy_minus_sign: | | 11017 | Improving Open-Domain Dialogue Response Generation with Multi-Source Multilingual Commonsense Knowledge | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 337 | Learning Image Demoiréing from Unpaired Real Data | [![GitHub](https://img.shields.io/github/stars/zysxmu/UnDeM?style=flat)](https://github.com/zysxmu/UnDeM) | [![arXiv](https://img.shields.io/badge/arXiv-2401.02719-b31b1b.svg)](https://arxiv.org/abs/2401.02719) | :heavy_minus_sign: | | 6805 | Task-Free Continual Generation and Representation Learning via Dynamic Expansionable Memory Cluster | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 4799 | Greedy-based Online Fair Allocation with Adversarial Input: Enabling Best-of-Many-Worlds Guarantees | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2308.09277-b31b1b.svg)](https://arxiv.org/abs/2308.09277) | :heavy_minus_sign: | | 11284 | Counterfactual-Enhanced Information Bottleneck for Aspect-based Sentiment Analysis | [![GitHub](https://img.shields.io/github/stars/shesshan/CEIB?style=flat)](https://github.com/shesshan/CEIB) | :heavy_minus_sign: | :heavy_minus_sign: | | 463 | Hand-Centric Motion Refinement for 3D Hand-Object Interaction via Hierarchical Spatial-Temporal Modeling | [![GitHub](https://img.shields.io/github/stars/Holiday888/HST-Net?style=flat)](https://github.com/Holiday888/HST-Net) | [![arXiv](https://img.shields.io/badge/arXiv-2401.15987-b31b1b.svg)](https://arxiv.org/abs/2401.15987) | :heavy_minus_sign: | | 11119 | LogoStyleFool: Vitiating Video Recognition Systems via Logo Style Transfer | [![GitHub](https://img.shields.io/github/stars/ziyuzhao-zzy/LogoStyleFool?style=flat)](https://github.com/ziyuzhao-zzy/LogoStyleFool) | [![arXiv](https://img.shields.io/badge/arXiv-2312.09935-b31b1b.svg)](https://arxiv.org/abs/2312.09935) | :heavy_minus_sign: | | 5971 | Weakly-Supervised Mirror Detection via Scribble Annotations | [![GitHub](https://img.shields.io/github/stars/winter-flow/WSMD?style=flat)](https://github.com/winter-flow/WSMD) | :heavy_minus_sign: | :heavy_minus_sign: | | 10976 | FRIH: Fine-Grained Region-Aware Image Harmonization | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2205.06448-b31b1b.svg)](https://arxiv.org/abs/2205.06448) | :heavy_minus_sign: | | 8471 | Robustness Verification of Deep Reinforcement Learning based Control Systems using Reward Martingales | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.09695-b31b1b.svg)](https://arxiv.org/abs/2312.09695) | :heavy_minus_sign: | | 2001 | Domain-Controlled Prompt Learning | [![GitHub](https://img.shields.io/github/stars/caoql98/DCPL?style=flat)](https://github.com/caoql98/DCPL) | [![arXiv](https://img.shields.io/badge/arXiv-2310.07730-b31b1b.svg)](https://arxiv.org/abs/2310.07730) | :heavy_minus_sign: | | 4794 | Prompt-based Distribution Alignment for Unsupervised Domain Adaptation | [![GitHub](https://img.shields.io/github/stars/BaiShuanghao/Prompt-based-Distribution-Alignment?style=flat)](https://github.com/BaiShuanghao/Prompt-based-Distribution-Alignment) | [![arXiv](https://img.shields.io/badge/arXiv-2312.09553-b31b1b.svg)](https://arxiv.org/abs/2312.09553) | :heavy_minus_sign: | | 10167 | OSFFNet: Omni-Stage Feature Fusion Network for Lightweight Image Super-Resolution | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 10443 | Runtime Analysis of the SMS-EMOA for Many-Objective Optimization | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.10290-b31b1b.svg)](https://arxiv.org/abs/2312.10290) | :heavy_minus_sign: | | 4776 | Towards the Robustness of Differentially Private Federated Learning | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 7444 | Envy-Free House Allocation under Uncertain Preferences | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.11286-b31b1b.svg)](https://arxiv.org/abs/2312.11286) | :heavy_minus_sign: | | 7609 | Prompt to Transfer: Sim-to-Real Transfer for Traffic Signal Control with Prompt Learning | [![GitHub](https://img.shields.io/github/stars/DaRL-LibSignal/PromptGAT?style=flat)](https://github.com/DaRL-LibSignal/PromptGAT) | [![arXiv](https://img.shields.io/badge/arXiv-2308.14284-b31b1b.svg)](https://arxiv.org/abs/2308.14284) | :heavy_minus_sign: | | 901 | Dynamic Sub-Graph Distillation for Robust Semi-Supervised Continual Learning | [![GitHub](https://img.shields.io/github/stars/fanyan0411/DSGD?style=flat)](https://github.com/fanyan0411/DSGD) | [![arXiv](https://img.shields.io/badge/arXiv-2312.16409-b31b1b.svg)](https://arxiv.org/abs/2312.16409) | :heavy_minus_sign: | | 12476 | Knowledge-Aware Neuron Interpretation for Scene Classification | [![GitHub](https://img.shields.io/github/stars/neuroninterpretation/EIIC?style=flat)](https://github.com/neuroninterpretation/EIIC) | [![arXiv](https://img.shields.io/badge/arXiv-2401.15820-b31b1b.svg)](https://arxiv.org/abs/2401.15820) | :heavy_minus_sign: | | 12578 | Revisiting Gradient Pruning: A Dual Realization for Defending against Gradient Attacks | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2401.16687-b31b1b.svg)](https://arxiv.org/abs/2401.16687) | :heavy_minus_sign: | | 10646 | ZO-AdaMU Optimizer: Adapting Perturbation by the Momentum and Uncertainty in Zeroth-Order Optimization | [![GitHub](https://img.shields.io/github/stars/MathIsAll/ZO-AdaMU?style=flat)](https://github.com/MathIsAll/ZO-AdaMU) | [![arXiv](https://img.shields.io/badge/arXiv-2312.15184-b31b1b.svg)](https://arxiv.org/abs/2312.15184) | :heavy_minus_sign: | | 9627 | G2P-DDM: Generating Sign Pose Sequence from Gloss Sequence with Discrete Diffusion Model | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://slpdiffusier.github.io/g2p-ddm/) | [![arXiv](https://img.shields.io/badge/arXiv-2208.09141-b31b1b.svg)](https://arxiv.org/abs/2208.09141) | :heavy_minus_sign: | | 5127 | Multi-View Dynamic Reflection Prior for Video Glass Surface Detection | [![GitHub](https://img.shields.io/github/stars/fawnliu/VGSD?style=flat)](https://github.com/fawnliu/VGSD) | :heavy_minus_sign: | :heavy_minus_sign: | | 11393 | Recurrent Graph Neural Networks and their Connections to Bisimulation and Logic | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 12416 | Tackling Vision Language Tasks through Learning Inner Monologues | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2308.09970-b31b1b.svg)](https://arxiv.org/abs/2308.09970) | :heavy_minus_sign: | | 3691 | When CEGAR Meets Regression: A Love Story in Optimal Classical Planning | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 2246 | Weak Distribution Detectors Lead to Stronger Generalizability of Vision-Language Prompt Tuning | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 8252 | Learning by Erasing: Conditional Entropy based Transferable Out-of-Distribution Detection | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 9146 | Full-Body Motion Reconstruction with Sparse Sensing from Graph Perspective | [![GitHub](https://img.shields.io/github/stars/Feiyu-Yao/Full-Body-Motion-Reconstruction-with-Sparse-Sensing-from-Graph-Perspective?style=flat)](https://github.com/Feiyu-Yao/Full-Body-Motion-Reconstruction-with-Sparse-Sensing-from-Graph-Perspective) | [![arXiv](https://img.shields.io/badge/arXiv-2401.11783-b31b1b.svg)](https://arxiv.org/abs/2401.11783) | :heavy_minus_sign: | | 5151 | SENCR: A Span Enhanced Two-Stage Network with Counterfactual Rethinking for Chinese NER | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 8419 | U-trustworthy Models. Reliability, Competence, and Confidence in Decision-Making | [![GitHub](https://img.shields.io/github/stars/ritwikvashistha/utrustworthy?style=flat)](https://github.com/ritwikvashistha/utrustworthy) | :heavy_minus_sign: | :heavy_minus_sign: | | 8929 | CR-SAM: Curvature Regularized Sharpness-Aware Minimization | [![GitHub](https://img.shields.io/github/stars/TrustAIoT/CR-SAM?style=flat)](https://github.com/TrustAIoT/CR-SAM) | [![arXiv](https://img.shields.io/badge/arXiv-2312.13555-b31b1b.svg)](https://arxiv.org/abs/2312.13555) | :heavy_minus_sign: | | 788 | Semantic-Aware Transformation-Invariant RoI Align | [![GitHub](https://img.shields.io/github/stars/cxjyxxme/SemanticRoIAlign?style=flat)](https://github.com/cxjyxxme/SemanticRoIAlign) | [![arXiv](https://img.shields.io/badge/arXiv-2312.09609-b31b1b.svg)](https://arxiv.org/abs/2312.09609) | :heavy_minus_sign: | | 10297 | Mean Teacher DETR with Masked Feature Alignment: A Robust Domain Adaptive Detection Transformer Framework | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2310.15646-b31b1b.svg)](https://arxiv.org/abs/2310.15646) | :heavy_minus_sign: | | 4396 | Polyper: Boundary Sensitive Polyp Segmentation | [![GitHub](https://img.shields.io/github/stars/haoshao-nku/medical_seg?style=flat)](https://github.com/haoshao-nku/medical_seg) | [![arXiv](https://img.shields.io/badge/arXiv-2312.08735-b31b1b.svg)](https://arxiv.org/abs/2312.08735) | :heavy_minus_sign: | | 6235 | An Implicit Trust Region Approach to Behavior Regularized Offline Reinforcement Learning | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 8633 | Another Way to the Top: Exploit Contextual Clustering in Learned Image Coding | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2401.11615-b31b1b.svg)](https://arxiv.org/abs/2401.11615) | :heavy_minus_sign: | | 1705 | M-BEV: Masked BEV Perception for Robust Autonomous Driving | [![GitHub](https://img.shields.io/github/stars/Sranc3/M-BEV?style=flat)](https://github.com/Sranc3/M-BEV) | [![arXiv](https://img.shields.io/badge/arXiv-2312.12144-b31b1b.svg)](https://arxiv.org/abs/2312.12144) | :heavy_minus_sign: | | 10479 | You Only Read Once: Constituency-Oriented Relational Graph Convolutional Network for Multi-Aspect Multi-Sentiment Classification | [![GitHub](https://img.shields.io/github/stars/gdufsnlp/YORO?style=flat)](https://github.com/gdufsnlp/YORO) | :heavy_minus_sign: | :heavy_minus_sign: | | 9920 | LogFormer: A Pre-Train and Tuning Pipeline for Log Anomaly Detection | [![GitHub](https://img.shields.io/github/stars/HC-Guo/LogFormer?style=flat)](https://github.com/HC-Guo/LogFormer) | [![arXiv](https://img.shields.io/badge/arXiv-2401.04749-b31b1b.svg)](https://arxiv.org/abs/2401.04749) | :heavy_minus_sign: | | 6076 | Adaptive Meta-Learning Probabilistic Inference Framework for Long Sequence Prediction | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 1305 | CL2CM: Improving Cross-Lingual Cross-Modal Retrieval via Cross-Lingual Knowledge Transfer | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.08984-b31b1b.svg)](https://arxiv.org/abs/2312.08984) | :heavy_minus_sign: | | 9111 | DrFuse: Learning Disentangled Representation for Clinical Multi-Modal Fusion with Missing Modality and Modal Inconsistency | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 1488 | Mutual-Modality Adversarial Attack with Semantic Perturbation | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.12768-b31b1b.svg)](https://arxiv.org/abs/2312.12768) | :heavy_minus_sign: | | 9679 | Multi-Label Supervised Contrastive Learning | [![GitHub](https://img.shields.io/github/stars/williamzhangsjtu/MulSupCon?style=flat)](https://github.com/williamzhangsjtu/MulSupCon) | :heavy_minus_sign: | :heavy_minus_sign: | | 10723 | Causal Discovery from Poisson Branching Structural Causal Model Using High-Order Cumulant with Path Analysis | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 11492 | Unsupervised Neighborhood Propagation Kernel Layers for Semi-Supervised Node Classification | [![GitHub](https://img.shields.io/github/stars/sonnyachten/GCKM?style=flat)](https://github.com/sonnyachten/GCKM) | [![arXiv](https://img.shields.io/badge/arXiv-2301.13764-b31b1b.svg)](https://arxiv.org/abs/2301.13764) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=E5wHKPgiczc) | | 4711 | Hyperbolic Graph Diffusion Model | [![GitHub](https://img.shields.io/github/stars/LF-WEN/HGDM?style=flat)](https://github.com/LF-WEN/HGDM) | [![arXiv](https://img.shields.io/badge/arXiv-2306.07618-b31b1b.svg)](https://arxiv.org/abs/2306.07618) | :heavy_minus_sign: | | 7586 | Mitigating Label Noise through Data Ambiguation | [![GitHub](https://img.shields.io/github/stars/julilien/MitigatingLabelNoiseDataAmbiguation?style=flat)](https://github.com/julilien/MitigatingLabelNoiseDataAmbiguation) | [![arXiv](https://img.shields.io/badge/arXiv-2305.13764-b31b1b.svg)](https://arxiv.org/abs/2305.13764) | :heavy_minus_sign: | | 7072 | Federated Graph Learning under Domain Shift with Generalizable Prototypes | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 11199 | Moral Uncertainty and the Problem of Fanaticism | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.11589-b31b1b.svg)](https://arxiv.org/abs/2312.11589) | :heavy_minus_sign: | | 8574 | Sampling-Resilient Multi-Object Tracking | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 362 | No more Shortcuts: Realizing the Potential of Temporal Self-Supervision | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://daveishan.github.io/nms-webpage/) | [![arXiv](https://img.shields.io/badge/arXiv-2312.13008-b31b1b.svg)](https://arxiv.org/abs/2312.13008) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=5MBnxmMBQh0) | | 5835 | TEILP: Time Prediction over Knowledge Graphs via Logical Reasoning | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.15816-b31b1b.svg)](https://arxiv.org/abs/2312.15816) | :heavy_minus_sign: | | 8676 | VLN-Video: Utilizing Driving Videos for Outdoor Vision-and-Language Navigation | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2402.03561-b31b1b.svg)](https://arxiv.org/abs/2402.03561) | :heavy_minus_sign: | | 3401 | AGS: Affordable and Generalizable Substitute Training for Transferable Adversarial Attack | [![GitHub](https://img.shields.io/github/stars/lwmming/AGS?style=flat)](https://github.com/lwmming/AGS) | :heavy_minus_sign: | :heavy_minus_sign: | | 3086 | AMSP-UOD: When Vortex Convolution and Stochastic Perturbation Meet Underwater Object Detection | [![GitHub](https://img.shields.io/github/stars/zhoujingchun03/AMSP-UOD?style=flat)](https://github.com/zhoujingchun03/AMSP-UOD) | [![arXiv](https://img.shields.io/badge/arXiv-2308.11918-b31b1b.svg)](https://arxiv.org/abs/2308.11918) | :heavy_minus_sign: | | 896 | Learning Continuous Implicit Field with Local Distance Indicator for Arbitrary-Scale Point Cloud Upsampling | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://lisj575.github.io/APU-LDI/)
[![GitHub](https://img.shields.io/github/stars/lisj575/APU-LDI?style=flat)](https://github.com/lisj575/APU-LDI) | [![arXiv](https://img.shields.io/badge/arXiv-2312.15133-b31b1b.svg)](https://arxiv.org/abs/2312.15133) | :heavy_minus_sign: | | 2793 | Automatic Radiology Reports Generation via Memory Alignment Network | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 10247 | RWMS: Reliable Weighted Multi-Phase for Semi-Supervised Segmentation | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 3638 | MorphVAE: Advancing Morphological Design of Voxel-based Soft Robots with Variational Autoencoders | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 8492 | Improving Cross-Modal Alignment with Synthetic Pairs for Text-Only Image Captioning | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.08865-b31b1b.svg)](https://arxiv.org/abs/2312.08865) | :heavy_minus_sign: | | 931 | VPDETR: End-to-End Vanishing Point DEtection TRansformers | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 9505 | Graph Learning in 4D: A Quaternion-Valued Laplacian to Enhance Spectral GCNs | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.17361-b31b1b.svg)](https://arxiv.org/abs/2312.17361) | :heavy_minus_sign: | | 11377 | Limited Memory Online Gradient Descent for Kernelized Pairwise Learning with Dynamic Averaging | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2402.01146-b31b1b.svg)](https://arxiv.org/abs/2402.01146) | :heavy_minus_sign: | | 6066 | Privileged Prior Information Distillation for Image Matting | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2211.14036-b31b1b.svg)](https://arxiv.org/abs/2211.14036) | :heavy_minus_sign: | | 1370 | Low-Rank Kernel Tensor Learning for Incomplete Multi-View Clustering | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 10283 | Successive POI Recommendation via Brain-Inspired Spatiotemporal Aware Representation | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 1745 | Semantic-Aware Data Augmentation for Text-to-Image Synthesis | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.07951-b31b1b.svg)](https://arxiv.org/abs/2312.07951) | :heavy_minus_sign: | | 2786 | Heterogeneous Test-Time Training for Multi-Modal Person Re-Identification | [![GitHub](https://img.shields.io/github/stars/ziwang1121/HTT?style=flat)](https://github.com/ziwang1121/HTT) | :heavy_minus_sign: | :heavy_minus_sign: | | 12922 | Theoretical Aspects of Generating Instances with Unique Solutions: Pre-Assignment Models for Unique Vertex Cover | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.10599-b31b1b.svg)](https://arxiv.org/abs/2312.10599) | :heavy_minus_sign: | ================================================ FILE: sections/2024/main/801_1000.md ================================================ # AAAI-2024-Papers
Application App
## 801-1000 papers ![Section Papers](https://img.shields.io/badge/Section%20Papers-200-42BA16) ![Preprint Papers](https://img.shields.io/badge/Preprint%20Papers-110-b31b1b) ![Papers with Open Code](https://img.shields.io/badge/Papers%20with%20Open%20Code-70-1D7FBF) ![Papers with Video](https://img.shields.io/badge/Papers%20with%20Video-4-FF0000) | :id: | **Title** | **Repo** | **Paper** | **Video** | |------|-----------|:--------:|:---------:|:---------:| | 8007 | TaskLAMA: Probing the Complex Task Understanding of Language Models | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2308.15299-b31b1b.svg)](https://arxiv.org/abs/2308.15299) | :heavy_minus_sign: | | 5879 | RPSC: Robust Pseudo-Labeling for Semantic Clustering | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 5928 | VSFormer: Visual-Spatial Fusion Transformer for Correspondence Pruning | [![GitHub](https://img.shields.io/github/stars/sugar-fly/VSFormer?style=flat)](https://github.com/sugar-fly/VSFormer) | [![arXiv](https://img.shields.io/badge/arXiv-2312.08774-b31b1b.svg)](https://arxiv.org/abs/2312.08774) | :heavy_minus_sign: | | 11661 | Novelty vs. Potential Heuristics: A Comparison of Hardness Measures for Satisficing Planning | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 497 | Exploiting Label Skews in Federated Learning with Model Concatenation | [![GitHub](https://img.shields.io/github/stars/sjtudyq/FedConcat?style=flat)](https://github.com/sjtudyq/FedConcat) | [![arXiv](https://img.shields.io/badge/arXiv-2312.06290-b31b1b.svg)](https://arxiv.org/abs/2312.06290) | :heavy_minus_sign: | | 1299 | High-Fidelity Gradient Inversion in Distributed Learning | [![GitHub](https://img.shields.io/github/stars/MiLab-HITSZ/2023YeHFGradInv?style=flat)](https://github.com/MiLab-HITSZ/2023YeHFGradInv) | :heavy_minus_sign: | :heavy_minus_sign: | | 3246 | WaveNet: Tackling Non-Stationary Graph Signals via Graph Spectral Wavelets | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 3800 | Multitarget Device-Free Localization via Cross-Domain Wi-Fi RSS Training Data and Attentional Prior Fusion | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 1364 | SelfPromer: Self-Prompt Dehazing Transformers with Depth-Consistency | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2303.07033-b31b1b.svg)](https://arxiv.org/abs/2303.07033) | :heavy_minus_sign: | | 11015 | Regret Analysis of Policy Gradient Algorithm for Infinite Horizon Average Reward Markov Decision Processes | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2309.01922-b31b1b.svg)](https://arxiv.org/abs/2309.01922) | :heavy_minus_sign: | | 1657 | Exact, Fast and Expressive Poisson Point Processes via Squared Neural Families | [![GitHub](https://img.shields.io/github/stars/RussellTsuchida/snefy?style=flat)](https://github.com/RussellTsuchida/snefy) | [![arXiv](https://img.shields.io/badge/arXiv-2402.09608-b31b1b.svg)](https://arxiv.org/abs/2402.09608) | :heavy_minus_sign: | | 4766 | Learning with Noisy Labels using Hyperspherical Margin Weighting | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 8137 | Bootstrapping Cognitive Agents with a Large Language Model | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2403.00810-b31b1b.svg)](https://arxiv.org/abs/2403.00810) | :heavy_minus_sign: | | 1903 | Unveiling Implicit Deceptive Patterns in Multi-Modal Fake News via Neuro-Symbolic Reasoning | [![GitHub](https://img.shields.io/github/stars/hedongxiao-tju/NSLM?style=flat)](https://github.com/hedongxiao-tju/NSLM) | :heavy_minus_sign: | :heavy_minus_sign: | | 1207 | Learning Generalized Medical Image Segmentation from Decoupled Feature Queries | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 8445 | E2E-AT: A Unified Framework for Tackling Uncertainty in Task-Aware End-to-End Learning | [![GitHub](https://img.shields.io/github/stars/xuwkk/E2E-AT?style=flat)](https://github.com/xuwkk/E2E-AT) | [![arXiv](https://img.shields.io/badge/arXiv-2312.10587-b31b1b.svg)](https://arxiv.org/abs/2312.10587) | :heavy_minus_sign: | | 1953 | DDAE: Towards Deep Dynamic Vision BERT Pretraining | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 2964 | WeakPCSOD: Overcoming the Bias of Box Annotations for Weakly Supervised Point Cloud Salient Object Detection | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 12794 | Towards Fair Graph Federated Learning via Incentive Mechanisms | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.13306-b31b1b.svg)](https://arxiv.org/abs/2312.13306) | :heavy_minus_sign: | | 13319 | Multi-Energy Guided Image Translation with Stochastic Differential Equations for Near-Infrared Facial Expression Recognition | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.05908-b31b1b.svg)](https://arxiv.org/abs/2312.05908) | :heavy_minus_sign: | | 10011 | A Generalized Neural Diffusion Framework on Graphs | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.08616-b31b1b.svg)](https://arxiv.org/abs/2312.08616) | :heavy_minus_sign: | | 821 | Occluded Person Re-Identification via Saliency-guided Patch Transfer | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 9672 | Graph Contrastive Invariant Learning from the Causal Perspective | [![GitHub](https://img.shields.io/github/stars/BUPT-GAMMA/GCIL?style=flat)](https://github.com/BUPT-GAMMA/GCIL) | [![arXiv](https://img.shields.io/badge/arXiv-2401.12564-b31b1b.svg)](https://arxiv.org/abs/2401.12564) | :heavy_minus_sign: | | 12831 | Robust Loss Functions for Training Decision Trees with Noisy Labels | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.12937-b31b1b.svg)](https://arxiv.org/abs/2312.12937) | :heavy_minus_sign: | | 6627 | Local-Global Multi-Modal Distillation for Weakly-Supervised Temporal Video Grounding | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 6428 | Geometric-Facilitated Denoising Diffusion Model for 3D Molecule Generation | [![GitHub](https://img.shields.io/github/stars/LEOXC1571/GFMDiff?style=flat)](https://github.com/LEOXC1571/GFMDiff) | [![arXiv](https://img.shields.io/badge/arXiv-2401.02683-b31b1b.svg)](https://arxiv.org/abs/2401.02683) | :heavy_minus_sign: | | 8623 | Online Sensitivity Optimization in Differentially Private Learning | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2310.00829-b31b1b.svg)](https://arxiv.org/abs/2310.00829) | :heavy_minus_sign: | | 9135 | Deciphering Compatibility Relationships with Textual Descriptions via Extraction and Explanation | [![GitHub](https://img.shields.io/github/stars/wangyu-ustc/PairFashionExplanation?style=flat)](https://github.com/wangyu-ustc/PairFashionExplanation) | [![arXiv](https://img.shields.io/badge/arXiv-2312.11554-b31b1b.svg)](https://arxiv.org/abs/2312.11554) | :heavy_minus_sign: | | 9044 | SEIT: Structural Enhancement for Unsupervised Image Translation in Frequency Domain | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 13155 | Structural Entropy based Graph Structure Learning for Node Classification | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 12620 | Accelerating Cutting-Plane Algorithms via Reinforcement Learning Surrogates | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2307.08816-b31b1b.svg)](https://arxiv.org/abs/2307.08816) | :heavy_minus_sign: | | 12846 | Bayesian Inference with Complex Knowledge Graph Evidence | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 9256 | MagiCapture: High-Resolution Multi-Concept Portrait Customization | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2309.06895-b31b1b.svg)](https://arxiv.org/abs/2309.06895) | :heavy_minus_sign: | | 10576 | Long-Tailed Partial Label Learning by Head Classifier and Tail Classifier Cooperation | [![GitHub](https://img.shields.io/github/stars/pruirui/HTC-LTPLL?style=flat)](https://github.com/pruirui/HTC-LTPLL) | :heavy_minus_sign: | :heavy_minus_sign: | | 11625 | Can LLMs Fix Issues with Reasoning Models? Towards more Likely Models for AI Planning | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2311.13720-b31b1b.svg)](https://arxiv.org/abs/2311.13720) | :heavy_minus_sign: | | 7529 | Liberating Seen Classes: Boosting Few-Shot and Zero-Shot Text Classification via Anchor Generation and Classification Reframing | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 11378 | Designing Biological Sequences without Prior Knowledge using Evolutionary Reinforcement Learning | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 12053 | Fair Participation via Sequential Policies | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 2218 | Towards Automated RISC-V Microarchitecture Design with Reinforcement Learning | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 13477 | A Twist for Graph Classification: Optimizing Causal Information Flow in Graph Neural Networks | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 2218 | HACDR-Net: Heterogeneous-Aware Convolutional Network for Diabetic Retinopathy Multi-Lesion Segmentation | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 8995 | DC-NAS: Divide-and-Conquer Neural Architecture Search for Multi-Modal Classification | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 9807 | Cross-Domain Contrastive Learning for Time Series Clustering | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 10617 | Frugal LMs Trained to Invoke Symbolic Solvers Achieve Parameter-Efficient Arithmetic Reasoning | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.05571-b31b1b.svg)](https://arxiv.org/abs/2312.05571) | :heavy_minus_sign: | | 5425 | Ahpatron: A New Budgeted Online Kernel Learning Machine with Tighter Mistake Bound | [![GitHub](https://img.shields.io/github/stars/alg4ml/Ahpatron?style=flat)](https://github.com/alg4ml/Ahpatron) | [![arXiv](https://img.shields.io/badge/arXiv-2312.07032-b31b1b.svg)](https://arxiv.org/abs/2312.07032) | :heavy_minus_sign: | | 8174 | KG-TREAT: Pre-training for Treatment Effect Estimation by Synergizing Patient Data with Knowledge Graphs | [![GitHub](https://img.shields.io/github/stars/ruoqi-liu/KG-TREAT?style=flat)](https://github.com/ruoqi-liu/KG-TREAT) | [![arXiv](https://img.shields.io/badge/arXiv-2403.03791-b31b1b.svg)](https://arxiv.org/abs/2403.03791) | :heavy_minus_sign: | | 10512 | ResDiff: Combining CNN and Diffusion Model for Image Super-Resolution | [![GitHub](https://img.shields.io/github/stars/LYL1015/ResDiff?style=flat)](https://github.com/LYL1015/ResDiff) | [![arXiv](https://img.shields.io/badge/arXiv-2303.08714-b31b1b.svg)](https://arxiv.org/abs/2303.08714) | :heavy_minus_sign: | | 4793 | Defeasible Normative Reasoning: A Proof-Theoretic Integration of Logical Argumentation | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 1675 | WaveFormer: Wavelet Transformer for Noise-Robust Video Inpainting | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 8506 | Learning Multi-Task Sparse Representation based on Fisher Information | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 9551 | Adaptive Uncertainty-based Learning for Text-based Person Retrieval | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 4824 | Learning Subject-Aware Cropping by Outpainting Professional Photos | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://jhong93.github.io/projects/crop.html)
[![GitHub](https://img.shields.io/github/stars/jhong93/gencrop?style=flat)](https://github.com/jhong93/gencrop) | [![arXiv](https://img.shields.io/badge/arXiv-2312.12080-b31b1b.svg)](https://arxiv.org/abs/2312.12080) | :heavy_minus_sign: | | 12752 | GridFormer: Point-Grid Transformer for Surface Reconstruction | [![GitHub](https://img.shields.io/github/stars/list17/GridFormer?style=flat)](https://github.com/list17/GridFormer) | [![arXiv](https://img.shields.io/badge/arXiv-2401.02292-b31b1b.svg)](https://arxiv.org/abs/2401.02292) | :heavy_minus_sign: | | 10258 | Decoupling Meta-Reinforcement Learning with Gaussian Task Contexts and Skills | [![GitHub](https://img.shields.io/github/stars/hehongc/DCMRL?style=flat)](https://github.com/hehongc/DCMRL) | [![arXiv](https://img.shields.io/badge/arXiv-2312.06518-b31b1b.svg)](https://arxiv.org/abs/2312.06518) | :heavy_minus_sign: | | 10575 | Multi-Dimensional Fair Federated Learning | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.05551-b31b1b.svg)](https://arxiv.org/abs/2312.05551) | :heavy_minus_sign: | | 11631 | Nearly Equitable Allocations beyond Additivity and Monotonicity | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.07195-b31b1b.svg)](https://arxiv.org/abs/2312.07195) | :heavy_minus_sign: | | 437 | Mono3DVG: 3D Visual Grounding in Monocular Images | [![GitHub](https://img.shields.io/github/stars/ZhanYang-nwpu/Mono3DVG?style=flat)](https://github.com/ZhanYang-nwpu/Mono3DVG) | [![arXiv](https://img.shields.io/badge/arXiv-2312.08022-b31b1b.svg)](https://arxiv.org/abs/2312.08022) | :heavy_minus_sign: | | 4848 | Relightable and Animatable Neural Avatars from Videos | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://wenbin-lin.github.io/RelightableAvatar-page/)
[![GitHub](https://img.shields.io/github/stars/wenbin-lin/RelightableAvatar?style=flat)](https://github.com/wenbin-lin/RelightableAvatar) | [![arXiv](https://img.shields.io/badge/arXiv-2312.12877-b31b1b.svg)](https://arxiv.org/abs/2312.12877) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=v9rlys0xQGo) | | 10295 | FedNS: A Fast Sketching Newton-Type Algorithm for Federated Learning | [![GitHub](https://img.shields.io/github/stars/superlj666/FedNS?style=flat)](https://github.com/superlj666/FedNS) | [![arXiv](https://img.shields.io/badge/arXiv-2401.02734-b31b1b.svg)](https://arxiv.org/abs/2401.02734) | :heavy_minus_sign: | | 8659 | GSN: Generalisable Segmentation in Neural Radiance Field | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://vinayak-vg.github.io/GSN/)
[![GitHub](https://img.shields.io/github/stars/Vinayak-VG/GSN?style=flat)](https://github.com/Vinayak-VG/GSN) | [![arXiv](https://img.shields.io/badge/arXiv-2402.04632-b31b1b.svg)](https://arxiv.org/abs/2402.04632) | :heavy_minus_sign: | | 11758 | No Head Left Behind - Multi-Head Alignment Distillation for Transformers | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 3768 | CycleVTON: A Cycle Mapping Framework for Parser-Free Virtual Try-On | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 6911 | Focus-then-Decide: Segmentation-Assisted Reinforcement Learning | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 7481 | Multi-Level Cross-Modal Alignment for Image Clustering | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2401.11740-b31b1b.svg)](https://arxiv.org/abs/2401.11740) | :heavy_minus_sign: | | 5385 | ParaGuide: Guided Diffusion Paraphrasers for Plug-and-Play Textual Style Transfer | [![GitHub](https://img.shields.io/github/stars/zacharyhorvitz/ParaGuide?style=flat)](https://github.com/zacharyhorvitz/ParaGuide) | [![arXiv](https://img.shields.io/badge/arXiv-2308.15459-b31b1b.svg)](https://arxiv.org/abs/2308.15459) | :heavy_minus_sign: | | 6515 | Transition-Informed Reinforcement Learning for Large-Scale Stackelberg Mean-Field Games | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 12351 | Reliable Conflictive Multi-View Learning | [![GitHub](https://img.shields.io/github/stars/jiajunsi/RCML?style=flat)](https://github.com/jiajunsi/RCML) | [![arXiv](https://img.shields.io/badge/arXiv-2402.16897-b31b1b.svg)](https://arxiv.org/abs/2402.16897) | :heavy_minus_sign: | | 845 | Painterly Image Harmonization by Learning from Painterly Objects | [![GitHub](https://img.shields.io/github/stars/bcmi/ArtoPIH-Painterly-Image-Harmonization?style=flat)](https://github.com/bcmi/ArtoPIH-Painterly-Image-Harmonization) | [![arXiv](https://img.shields.io/badge/arXiv-2312.10263-b31b1b.svg)](https://arxiv.org/abs/2312.10263) | :heavy_minus_sign: | | 8975 | TDeLTA: A Light-Weight and Robust Table Detection Method based on Learning Text Arrangement | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.11043-b31b1b.svg)](https://arxiv.org/abs/2312.11043) | :heavy_minus_sign: | | 6670 | Learning Cluster-Wise Anchors for Multi-View Clustering | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 12192 | Modeling Stereo-Confidence out of the End-to-End Stereo-Matching Network via Disparity Plane Sweep | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2401.12001-b31b1b.svg)](https://arxiv.org/abs/2401.12001) | :heavy_minus_sign: | | 461 | S2WAT: Image Style Transfer via Hierarchical Vision Transformer using Strips Window Attention | [![GitHub](https://img.shields.io/github/stars/AlienZhang1996/S2WAT?style=flat)](https://github.com/AlienZhang1996/S2WAT) | [![arXiv](https://img.shields.io/badge/arXiv-2210.12381-b31b1b.svg)](https://arxiv.org/abs/2210.12381) | :heavy_minus_sign: | | 13390 | EcomGPT: Instruction-Tuning Large Language Models with Chain-of-Task Tasks for E-Commerce | [![GitHub](https://img.shields.io/github/stars/Alibaba-NLP/EcomGPT?style=flat)](https://github.com/Alibaba-NLP/EcomGPT) | [![arXiv](https://img.shields.io/badge/arXiv-2308.06966-b31b1b.svg)](https://arxiv.org/abs/2308.06966) | :heavy_minus_sign: | | 5437 | Open-Set Graph Domain Adaptation via Separate Domain Alignment | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 7494 | Probability-Polarized Optimal Transport for Unsupervised Domain Adaptation | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 1653 | DS-AL: A Dual-Stream Analytic Learning for Exemplar-Free Class-Incremental Learning | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 2592 | Temporally and Distributionally Robust Optimization for Cold-Start Recommendation | [![GitHub](https://img.shields.io/github/stars/Linxyhaha/TDRO?style=flat)](https://github.com/Linxyhaha/TDRO) | [![arXiv](https://img.shields.io/badge/arXiv-2312.09901-b31b1b.svg)](https://arxiv.org/abs/2312.09901) | :heavy_minus_sign: | | 6685 | KGTS: Contrastive Trajectory Similarity Learning over Prompt Knowledge Graph Embedding | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 872 | Supervision Interpolation via LossMix: Generalizing Mixup for Object Detection and Beyond | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2303.10343-b31b1b.svg)](https://arxiv.org/abs/2303.10343) | :heavy_minus_sign: | | 10623 | Image Safeguarding: Reasoning with Conditional Vision Language Model and Obfuscating Unsafe Content Counterfactually | [![GitHub](https://img.shields.io/github/stars/SecureAIAutonomyLab/ConditionalVLM?style=flat)](https://github.com/SecureAIAutonomyLab/ConditionalVLM) | [![arXiv](https://img.shields.io/badge/arXiv-2401.11035-b31b1b.svg)](https://arxiv.org/abs/2401.11035) | :heavy_minus_sign: | | 6936 | Stitching Segments and Sentences towards Generalization in Video-Text Pre-Training | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 7872 | BOK-VQA: Bilingual outside Knowledge-based Visual Question Answering via Graph Representation Pretraining | [![GitHub](https://img.shields.io/github/stars/mjkmain/BOK-VQA?style=flat)](https://github.com/mjkmain/BOK-VQA) | [![arXiv](https://img.shields.io/badge/arXiv-2401.06443-b31b1b.svg)](https://arxiv.org/abs/2401.06443) | :heavy_minus_sign: | | 13462 | On the Role of Server Momentum in Federated Learning | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.12670-b31b1b.svg)](https://arxiv.org/abs/2312.12670) | :heavy_minus_sign: | | 11232 | What does a Query Answer Tell You? Informativeness of Query Answers for Knowledge Bases | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 10690 | Multi-Modality Affinity Inference for Weakly Supervised 3D Semantic Segmentation | [![GitHub](https://img.shields.io/github/stars/Sunny599/AAAI24-3DWSSS-MMA?style=flat)](https://github.com/Sunny599/AAAI24-3DWSSS-MMA) | [![arXiv](https://img.shields.io/badge/arXiv-2312.16578-b31b1b.svg)](https://arxiv.org/abs/2312.16578) | :heavy_minus_sign: | | 6991 | Minibatch Stochastic Three Points Method for Unconstrained Smooth Minimization | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2209.07883-b31b1b.svg)](https://arxiv.org/abs/2209.07883) | :heavy_minus_sign: | | 9440 | VLCounter: Text-Aware Visual Representation for Zero-Shot Object Counting | [![GitHub](https://img.shields.io/github/stars/Seunggu0305/VLCounter?style=flat)](https://github.com/Seunggu0305/VLCounter) | [![arXiv](https://img.shields.io/badge/arXiv-2312.16580-b31b1b.svg)](https://arxiv.org/abs/2312.16580) | :heavy_minus_sign: | | 11677 | Monte Carlo Tree Search in the Presence of Transition Uncertainty | [![GitHub](https://img.shields.io/github/stars/ualberta-mueller-group/UAMCTS?style=flat)](https://github.com/ualberta-mueller-group/UAMCTS) | [![arXiv](https://img.shields.io/badge/arXiv-2312.11348-b31b1b.svg)](https://arxiv.org/abs/2312.11348) | :heavy_minus_sign: | | 699 | Permutation-based Hypothesis Testing for Neural Networks | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2301.11354-b31b1b.svg)](https://arxiv.org/abs/2301.11354) | :heavy_minus_sign: | | 6079 | Out-of-Distribution Detection in Long-Tailed Recognition with Calibrated Outlier Class Learning | [![GitHub](https://img.shields.io/github/stars/mala-lab/COCL?style=flat)](https://github.com/mala-lab/COCL) | [![arXiv](https://img.shields.io/badge/arXiv-2312.10686-b31b1b.svg)](https://arxiv.org/abs/2312.10686) | :heavy_minus_sign: | | 3272 | SoftCLIP: Softer Cross-Modal Alignment Makes CLIP Stronger | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2303.17561-b31b1b.svg)](https://arxiv.org/abs/2303.17561) | :heavy_minus_sign: | | 2688 | Learning Accurate and Bidirectional Transformation via Dynamic Embedding Transportation for Cross-Domain Recommendation | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 6948 | SAME: Sample Reconstruction against Model Extraction Attacks | [![GitHub](https://img.shields.io/github/stars/xythink/SAME?style=flat)](https://github.com/xythink/SAME) | [![arXiv](https://img.shields.io/badge/arXiv-2312.10578-b31b1b.svg)](https://arxiv.org/abs/2312.10578) | :heavy_minus_sign: | | 4819 | StyleSinger: Style Transfer for Out-of-Domain Singing Voice Synthesis | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://stylesinger.github.io/) | [![arXiv](https://img.shields.io/badge/arXiv-2312.10741-b31b1b.svg)](https://arxiv.org/abs/2312.10741) | :heavy_minus_sign: | | 10098 | DeepAccident: A Motion and Accident Prediction Benchmark for V2X Autonomous Driving | [![GitHub](https://img.shields.io/github/stars/tianqi-wang1996/DeepAccident?style=flat)](https://github.com/tianqi-wang1996/DeepAccident) | [![arXiv](https://img.shields.io/badge/arXiv-2304.01168-b31b1b.svg)](https://arxiv.org/abs/2304.01168) | :heavy_minus_sign: | | 1708 | Reinforcement Learning and Data-Generation for Syntax-Guided Synthesis | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2307.09564-b31b1b.svg)](https://arxiv.org/abs/2307.09564) | :heavy_minus_sign: | | 7734 | The Irrelevance of Influencers: Information Diffusion with Re-Activation and Immunity Lasts Exponentially Long on Social Network Models | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 10616 | Can Large Language Models Understand Real-World Complex Instructions? | [![GitHub](https://img.shields.io/github/stars/Abbey4799/CELLO?style=flat)](https://github.com/Abbey4799/CELLO) | [![arXiv](https://img.shields.io/badge/arXiv-2309.09150-b31b1b.svg)](https://arxiv.org/abs/2309.09150) | :heavy_minus_sign: | | 13430 | LMD: Faster Image Reconstruction with Latent Masking Diffusion | [![GitHub](https://img.shields.io/github/stars/AnonymousPony/lmd?style=flat)](https://github.com/AnonymousPony/lmd) | [![arXiv](https://img.shields.io/badge/arXiv-2312.07971-b31b1b.svg)](https://arxiv.org/abs/2312.07971) | :heavy_minus_sign: | | 6143 | Hierarchical and Incremental Structural Entropy Minimization for Unsupervised Social Event Detection | [![GitHub](https://img.shields.io/github/stars/SELGroup/HISEvent?style=flat)](https://github.com/SELGroup/HISEvent) | [![arXiv](https://img.shields.io/badge/arXiv-2312.11891-b31b1b.svg)](https://arxiv.org/abs/2312.11891) | :heavy_minus_sign: | | 10733 | On Optimal Tradeoffs between EFX and Nash Welfare | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2302.09633-b31b1b.svg)](https://arxiv.org/abs/2302.09633) | :heavy_minus_sign: | | 8646 | MoDE: A Mixture-of-Experts Model with Mutual Distillation among the Experts | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2402.00893-b31b1b.svg)](https://arxiv.org/abs/2402.00893) | :heavy_minus_sign: | | 2471 | UPDP: A Unified Progressive Depth Pruner for CNN and Vision Transformer | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2401.06426-b31b1b.svg)](https://arxiv.org/abs/2401.06426) | :heavy_minus_sign: | | 7032 | Editing Language Model-based Knowledge Graph Embeddings | [![WEB Page](https://img.shields.io/badge/WEB-Page-159957.svg)](https://www.zjukg.org/project/KGE_Editing/) | [![arXiv](https://img.shields.io/badge/arXiv-2301.10405-b31b1b.svg)](https://arxiv.org/abs/2301.10405) | :heavy_minus_sign: | | 10634 | Spanning the Spectrum of Hatred Detection: A Persian Multi-Label Hate Speech Dataset with Annotator Rationales | [![GitHub](https://img.shields.io/github/stars/Zahra-D/Phate?style=flat)](https://github.com/Zahra-D/Phate) | :heavy_minus_sign: | :heavy_minus_sign: | | 2695 | Intentional Evolutionary Learning for Untrimmed Videos with Long Tail Distribution | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 12896 | VQ-FONT: Few-Shot Font Generation with Structure-Aware Enhancement and Quantization | [![GitHub](https://img.shields.io/github/stars/Yaomingshuai/VQ-Font?style=flat)](https://github.com/Yaomingshuai/VQ-Font) | [![arXiv](https://img.shields.io/badge/arXiv-2308.14018-b31b1b.svg)](https://arxiv.org/abs/2308.14018) | :heavy_minus_sign: | | 7128 | Image as a Language: Revisiting Scene Text Recognition via Balanced, Unified and Synchronized Vision-Language Reasoning Network | [![GitHub](https://img.shields.io/github/stars/jjwei66/BUSNet?style=flat)](https://github.com/jjwei66/BUSNet) | :heavy_minus_sign: | :heavy_minus_sign: | | 12864 | Learning Bayesian Network Classifiers to Minimize the Class Variable Parameters | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 13691 | Twice Class Bias Correction for Imbalanced Semi-Supervised Learning | [![GitHub](https://img.shields.io/github/stars/Lain810/TCBC?style=flat)](https://github.com/Lain810/TCBC) | [![arXiv](https://img.shields.io/badge/arXiv-2312.16604-b31b1b.svg)](https://arxiv.org/abs/2312.16604) | :heavy_minus_sign: | | 9441 | End-to-End RGB-D Image Compression via Exploiting Channel-Modality Redundancy | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 7234 | Fair Allocation of Items in Multiple Regions | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 3917 | CoreRec: A Counterfactual Correlation Inference for Next Set Recommendation | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 4460 | AesFA: An Aesthetic Feature-Aware Arbitrary Neural Style Transfer | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://aesfa-nst.github.io/AesFA/)
[![GitHub](https://img.shields.io/github/stars/Sooyyoungg/AesFA?style=flat)](https://github.com/Sooyyoungg/AesFA) | [![arXiv](https://img.shields.io/badge/arXiv-2312.05928-b31b1b.svg)](https://arxiv.org/abs/2312.05928) | :heavy_minus_sign: | | 5829 | Hyp-OW: Exploiting Hierarchical Structure Learning with Hyperbolic Distance Enhances Open World Object Detection | [![GitHub](https://img.shields.io/github/stars/boschresearch/Hyp-OW?style=flat)](https://github.com/boschresearch/Hyp-OW)
[![HF](https://img.shields.io/badge/🤗-model-FFD21F.svg)](https://huggingface.co/tldoan/Hyp-OW) | [![arXiv](https://img.shields.io/badge/arXiv-2306.14291-b31b1b.svg)](https://arxiv.org/abs/2306.14291) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=dXaF0WpNFlA) | | 7807 | Generalising Planning Environment Redesign | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2402.07799-b31b1b.svg)](https://arxiv.org/abs/2402.07799) | :heavy_minus_sign: | | 9377 | MusER: Musical Element-based Regularization for Generating Symbolic Music with Emotion | [![GitHub](https://img.shields.io/github/stars/Tayjsl97/MusER?style=flat)](https://github.com/Tayjsl97/MusER) | [![arXiv](https://img.shields.io/badge/arXiv-2312.10307-b31b1b.svg)](https://arxiv.org/abs/2312.10307) | :heavy_minus_sign: | | 622 | Weakly Supervised Open-Vocabulary Object Detection | [![GitHub](https://img.shields.io/github/stars/HunterJ-Lin/WSOVOD?style=flat)](https://github.com/HunterJ-Lin/WSOVOD) | [![arXiv](https://img.shields.io/badge/arXiv-2312.12437-b31b1b.svg)](https://arxiv.org/abs/2312.12437) | :heavy_minus_sign: | | 11604 | Towards Stability and Generalization Bounds in Decentralized Minibatch Stochastic Gradient Descent | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 12962 | Trend-Aware Supervision: On Learning Invariance for Semi-Supervised Facial Action Unit Intensity Estimation | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 6829 | Generalizable Fourier Augmentation for Unsupervised Video Object Segmentation | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 1277 | Zero-Shot Aerial Object Detection with Visual Description Regularization | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2402.18233-b31b1b.svg)](https://arxiv.org/abs/2402.18233) | :heavy_minus_sign: | | 4511 | CSL: Class-Agnostic Structure-Constrained Learning for Segmentation Including the Unseen | [![GitHub](https://img.shields.io/github/stars/haoz19/CSL?style=flat)](https://github.com/haoz19/CSL) | [![arXiv](https://img.shields.io/badge/arXiv-2312.05538-b31b1b.svg)](https://arxiv.org/abs/2312.05538) | :heavy_minus_sign: | | 10117 | Point2Real: Bridging the Gap between Point Cloud and Realistic Image for Open-World 3D Recognition | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 6396 | GSENet: Global Semantic Enhancement Network for Lane Detection | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 1692 | DocNLC: A Document Image Enhancement Framework with Normalized and Latent Contrastive Representation for Multiple Degradations | [![GitHub](https://img.shields.io/github/stars/RylonW/DocNLC?style=flat)](https://github.com/RylonW/DocNLC) | :heavy_minus_sign: | :heavy_minus_sign: | | 12638 | PrefAce: Face-Centric Pretraining with Self-Structure Aware Distillation | [![GitHub](https://img.shields.io/github/stars/siyuan-h/PrefAce?style=flat)](https://github.com/siyuan-h/PrefAce) | :heavy_minus_sign: | :heavy_minus_sign: | | 6436 | Impartial Adversarial Distillation: Addressing Biased Data-Free Knowledge Distillation via Adaptive Constrained Optimization | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 9311 | GIN-SD: Source Detection in Graphs with Incomplete Nodes via Positional Encoding and Attentive Fusion | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2403.00014-b31b1b.svg)](https://arxiv.org/abs/2403.00014) | :heavy_minus_sign: | | 9865 | On the Expressivity of Recurrent Neural Cascades | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.09048-b31b1b.svg)](https://arxiv.org/abs/2312.09048) | :heavy_minus_sign: | | 1567 | Gramformer: Learning Crowd Counting via Graph-Modulated Transformer | [![GitHub](https://img.shields.io/github/stars/LoraLinH/Gramformer?style=flat)](https://github.com/LoraLinH/Gramformer) | [![arXiv](https://img.shields.io/badge/arXiv-2401.03870-b31b1b.svg)](https://arxiv.org/abs/2401.03870) | :heavy_minus_sign: | | 7126 | NightRain: Nighttime Video Deraining via Adaptive-Rain-Removal and Adaptive-Correction | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2401.00729-b31b1b.svg)](https://arxiv.org/abs/2401.00729) | :heavy_minus_sign: | | 11351 | Federated Label-Noise Learning with Local Diversity Product Regularization | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 5930 | A User-Friendly Framework for Generating Model-Preferred Prompts in Text-to-Image Synthesis | [![GitHub](https://img.shields.io/github/stars/Naylenv/UF-FGTG?style=flat)](https://github.com/Naylenv/UF-FGTG) | [![arXiv](https://img.shields.io/badge/arXiv-2402.12760-b31b1b.svg)](https://arxiv.org/abs/2402.12760) | :heavy_minus_sign: | | 10008 | Modeling Knowledge Graphs with Composite Reasoning | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 13176 | Locally Rainbow Paths | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2402.12905-b31b1b.svg)](https://arxiv.org/abs/2402.12905) | :heavy_minus_sign: | | 1616 | PCE-Palm: Palm Crease Energy based Two-Stage Realistic Pseudo-Palmprint Generation | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 10459 | Pushing the Limit of Fine-Tuning for Few-Shot Learning: Where Feature Reusing Meets Cross-Scale Attention | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 2813 | Parameterization of (Partial) Maximum Satisfiability above Matching in a Variable-Clause Graph | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 8697 | Multi-Domain Incremental Learning for Face Presentation Attack Detection | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 1391 | PaintHuman: Towards High-Fidelity Text-to-3D Human Texturing via Denoised Score Distillation | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2310.09458-b31b1b.svg)](https://arxiv.org/abs/2310.09458) | :heavy_minus_sign: | | 605 | Point Transformer with Federated Learning for Predicting Breast Cancer HER2 Status from Hematoxylin and Eosin-Stained Whole Slide Images | [![GitHub](https://img.shields.io/github/stars/boyden/PointTransformerFL?style=flat)](https://github.com/boyden/PointTransformerFL) | [![arXiv](https://img.shields.io/badge/arXiv-2312.06454-b31b1b.svg)](https://arxiv.org/abs/2312.06454) |:heavy_minus_sign: | | 9799 | Harnessing the Power of Beta Scoring in Deep Active Learning for Multi-Label Text Classification | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2401.07395-b31b1b.svg)](https://arxiv.org/abs/2401.07395) | :heavy_minus_sign: | | 9702 | Decomposing Temporal Equilibrium Strategy for Coordinated Distributed Multi-Agent Reinforcement Learning | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 4387 | Rethinking Graph Masked Autoencoders through Alignment and Uniformity | [![GitHub](https://img.shields.io/github/stars/AzureLeon1/AUG-MAE?style=flat)](https://github.com/AzureLeon1/AUG-MAE) | [![arXiv](https://img.shields.io/badge/arXiv-2402.07225-b31b1b.svg)](https://arxiv.org/abs/2402.07225) | :heavy_minus_sign: | | 6569 | DiDA: Disambiguated Domain Alignment for Cross-Domain Retrieval with Partial Labels | [![GitHub](https://img.shields.io/github/stars/lhrrrrrr/DiDA?style=flat)](https://github.com/lhrrrrrr/DiDA) | :heavy_minus_sign: | :heavy_minus_sign: | | 8818 | Knowledge-Aware Parameter Coaching for Personalized Federated Learning | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 1876 | Cached Transformers: Improving Transformers with Differentiable Memory Cache | [![GitHub](https://img.shields.io/github/stars/annosubmission/GRC-Cache?style=flat)](https://github.com/annosubmission/GRC-Cache) | [![arXiv](https://img.shields.io/badge/arXiv-2312.12742-b31b1b.svg)](https://arxiv.org/abs/2312.12742) | :heavy_minus_sign: | | 9306 | Relative Policy-Transition Optimization for Fast Policy Transfer | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2206.06009-b31b1b.svg)](https://arxiv.org/abs/2206.06009) | :heavy_minus_sign: | | 2756 | What are the Rules? Discovering Constraints from Data | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 739 | Learning Task-Aware Language-Image Representation for Class-Incremental Object Detection | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 8410 | When are Two Lists Better than One?: Benefits and Harms in Joint Decision-Making | [![GitHub](https://img.shields.io/github/stars/kpdonahue/benefits_harms_joint_decision_making?style=flat)](https://github.com/kpdonahue/benefits_harms_joint_decision_making) | [![arXiv](https://img.shields.io/badge/arXiv-2308.11721-b31b1b.svg)](https://arxiv.org/abs/2308.11721) | :heavy_minus_sign: | | 10134 | Referred by Multi-Modality: A Unified Temporal Transformer for Video Object Segmentation | [![GitHub](https://img.shields.io/github/stars/OpenGVLab/MUTR?style=flat)](https://github.com/OpenGVLab/MUTR) | [![arXiv](https://img.shields.io/badge/arXiv-2305.16318-b31b1b.svg)](https://arxiv.org/abs/2305.16318) | | | 9172 | Decentralized Gradient-Free Methods for Stochastic Non-Smooth Non-Convex Optimization | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2310.11973-b31b1b.svg)](https://arxiv.org/abs/2310.11973) | :heavy_minus_sign: | | 10093 | Proxyformer: Nyström-based Linear Transformer with Trainable Proxy Tokens | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 10252 | High-Fidelity 3D Head Avatars Reconstruction through Spatially-Varying Expression Conditioned Neural Radiance Field | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://minghanqin.github.io/AvatarSVE/)
[![GitHub](https://img.shields.io/github/stars/minghanqin/AvatarSVE?style=flat)](https://github.com/minghanqin/AvatarSVE) | [![arXiv](https://img.shields.io/badge/arXiv-2310.06275-b31b1b.svg)](https://arxiv.org/abs/2310.06275) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=dPgAa-6Kt8Q) | | 5826 | Learning to Stop Cut Generation for Efficient Mixed-Integer Linear Programming | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2401.17527-b31b1b.svg)](https://arxiv.org/abs/2401.17527) | :heavy_minus_sign: | | 9768 | Noise-Aware Image Captioning with Progressively Exploring Mismatched Words | [![GitHub](https://img.shields.io/github/stars/njustkmg/NIC?style=flat)](https://github.com/njustkmg/NIC) | :heavy_minus_sign: | :heavy_minus_sign: | | 12872 | Neural Physical Simulation with Multi-Resolution Hash Grid Encoding | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 6021 | SDAC: A Multimodal Synthetic Dataset for Anomaly and Corner Case Detection in Autonomous Driving | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 13048 | R3CD: Scene Graph to Image Generation with Relation-Aware Compositional Contrastive Control Diffusion | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 8051 | Time-Aware Knowledge Representations of Dynamic Objects with Multidimensional Persistence | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2401.13157-b31b1b.svg)](https://arxiv.org/abs/2401.13157) | :heavy_minus_sign: | | 11761 | Calibrated One Round Federated Learning with Bayesian Inference in the Predictive Space | [![GitHub](https://img.shields.io/github/stars/hasanmohsin/betaPredBayesFL?style=flat)](https://github.com/hasanmohsin/betaPredBayesFL) | [![arXiv](https://img.shields.io/badge/arXiv-2312.09817-b31b1b.svg)](https://arxiv.org/abs/2312.09817) | :heavy_minus_sign: | | 4528 | Dual-Channel Learning Framework for Drug-Drug Interaction Prediction via Relation-Aware Heterogeneous Graph Transformer | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 12616 | Class-Attribute Priors: Adapting Optimization to Heterogeneity and Fairness Objective | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2401.14343-b31b1b.svg)](https://arxiv.org/abs/2401.14343) | :heavy_minus_sign: | | 2778 | Levenshtein Distance Embedding with Poisson Regression for DNA Storage | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.07931-b31b1b.svg)](https://arxiv.org/abs/2312.07931) | :heavy_minus_sign: | | 4952 | From Retrieval to Generation: A Simple and Unified Generative Model for End-to-End Task-Oriented Dialogue | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 5520 | AVSegFormer: Audio-Visual Segmentation with Transformer | [![GitHub](https://img.shields.io/github/stars/vvvb-github/AVSegFormer?style=flat)](https://github.com/vvvb-github/AVSegFormer) | [![arXiv](https://img.shields.io/badge/arXiv-2307.01146-b31b1b.svg)](https://arxiv.org/abs/2307.01146) | :heavy_minus_sign: | | 2996 | SCP: Spherical-Coordinate-based Learned Point Cloud Compression | [![GitHub](https://img.shields.io/github/stars/luoao-kddi/SCP?style=flat)](https://github.com/luoao-kddi/SCP) | [![arXiv](https://img.shields.io/badge/arXiv-2308.12535-b31b1b.svg)](https://arxiv.org/abs/2308.12535) | :heavy_minus_sign: | | 6615 | Transient Glimpses: Unveiling Occluded Backgrounds through the Spike Camera | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 7851 | Pandora's Problem with Deadlines | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 10160 | Restoring Speaking Lips from Occlusion for Audio-Visual Speech Recognition | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 12916 | Trust Region Methods for Nonconvex Stochastic Optimization beyond Lipschitz Smoothness | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2310.17319-b31b1b.svg)](https://arxiv.org/abs/2310.17319) | :heavy_minus_sign: | | 5134 | Hot or Cold? Adaptive Temperature Sampling for Code Generation with Large Language Models | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2309.02772-b31b1b.svg)](https://arxiv.org/abs/2309.02772) | :heavy_minus_sign: | | 3632 | Retrieval-Augmented Primitive Representations for Compositional Zero-Shot Learning | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 3725 | Cooper: Coordinating Specialized Agents towards a Complex Dialogue Goal | [![GitHub](https://img.shields.io/github/stars/YiCheng98/Cooper?style=flat)](https://github.com/YiCheng98/Cooper) | [![arXiv](https://img.shields.io/badge/arXiv-2312.11792-b31b1b.svg)](https://arxiv.org/abs/2312.11792) | :heavy_minus_sign: | | 1326 | Keypoint Fusion for RGB-D based 3D Hand Pose Estimation | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 6791 | Learning to Manipulate Artistic Images | [![GitHub](https://img.shields.io/github/stars/SnailForce/SIM-Net?style=flat)](https://github.com/SnailForce/SIM-Net) | [![arXiv](https://img.shields.io/badge/arXiv-2401.13976-b31b1b.svg)](https://arxiv.org/abs/2401.13976) | :heavy_minus_sign: | | 10349 | NESTER: An Adaptive Neurosymbolic Method for Causal Effect Estimation | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2211.04370-b31b1b.svg)](https://arxiv.org/abs/2211.04370) | :heavy_minus_sign: | | 2820 | Decomposing Semantic Shifts for Composed Image Retrieval | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2309.09531-b31b1b.svg)](https://arxiv.org/abs/2309.09531) | :heavy_minus_sign: | | 7255 | Enhancing Multi-Label Classification via Dynamic Label-Order Learning | [![GitHub](https://img.shields.io/github/stars/KagamiBaka/DLOL?style=flat)](https://github.com/KagamiBaka/DLOL) | :heavy_minus_sign: | :heavy_minus_sign: | | 13279 | Structured Probabilistic Coding | [![GitHub](https://img.shields.io/github/stars/zerohd4869/SPC?style=flat)](https://github.com/zerohd4869/SPC) | [![arXiv](https://img.shields.io/badge/arXiv-2312.13933-b31b1b.svg)](https://arxiv.org/abs/2312.13933) | :heavy_minus_sign: | | 8479 | Expressive Multi-Agent Communication via Identity-Aware Learning | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 304 | AMD: Anatomical Motion Diffusion with Interpretable Motion Decomposition and Fusion | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 4534 | PerFedRLNAS: One-for-All Personalized Federated Neural Architecture Search | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 998 | GigaHumanDet: Exploring Full-Body Detection on Gigapixel-Level Images | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 775 | Evidential Uncertainty-guided Mitochondria Segmentation for 3D EM Images | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 6606 | Knowledge Guided Semi-Supervised Learning for Quality Assessment of User Generated Videos | [![GitHub](https://img.shields.io/github/stars/Shankhanil006/SSL-VQA?style=flat)](https://github.com/Shankhanil006/SSL-VQA) | [![arXiv](https://img.shields.io/badge/arXiv-2312.15425-b31b1b.svg)](https://arxiv.org/abs/2312.15425) | :heavy_minus_sign: | | 4065 | Detect Any Keypoints: An Efficient Light-Weight Few-Shot Keypoint Detector | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 11279 | CFEVER: A Chinese Fact Extraction and VERification Dataset | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://ikmlab.github.io/CFEVER/)
[![GitHub](https://img.shields.io/github/stars/IKMLab/CFEVER?style=flat)](https://github.com/IKMLab/CFEVER) | [![arXiv](https://img.shields.io/badge/arXiv-2402.13025-b31b1b.svg)](https://arxiv.org/abs/2402.13025) | :heavy_minus_sign: | | 4834 | DiffusionTrack: Diffusion Model for Multi-Object Tracking | [![GitHub](https://img.shields.io/github/stars/RainBowLuoCS/DiffusionTrack?style=flat)](https://github.com/RainBowLuoCS/DiffusionTrack) | [![arXiv](https://img.shields.io/badge/arXiv-2308.09905-b31b1b.svg)](https://arxiv.org/abs/2308.09905) | :heavy_minus_sign: | | 13375 | Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree Ensembles | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2401.12069-b31b1b.svg)](https://arxiv.org/abs/2401.12069) | :heavy_minus_sign: | | 8875 | Stereo Vision Conversion from Planar Videos based on Temporal Multiplane Images | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 3861 | PTUS: Photo-Realistic Talking Upper-Body Synthesis via 3D-Aware Motion Decomposition Warping | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 13359 | Narrowing the Gap between Supervised and Unsupervised Sentence Representation Learning with Large Language Model | [![GitHub](https://img.shields.io/github/stars/BDBC-KG-NLP/NGCSE?style=flat)](https://github.com/BDBC-KG-NLP/NGCSE) | [![arXiv](https://img.shields.io/badge/arXiv-2309.06453-b31b1b.svg)](https://arxiv.org/abs/2309.06453) | :heavy_minus_sign: | | 10533 | Sequential Fusion based Multi-Granularity Consistency for Space-Time Transformer Tracking | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 13063 | Large-Scale Multi-Robot Coverage Path Planning via Local Search | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://reso1.github.io/blog/posts/grid_mcpp)
[![GitHub](https://img.shields.io/github/stars/reso1/LS-MCPP?style=flat)](https://github.com/reso1/LS-MCPP) | [![arXiv](https://img.shields.io/badge/arXiv-2312.10797-b31b1b.svg)](https://arxiv.org/abs/2312.10797) | [![YouTube](https://img.shields.io/badge/YouTube-%23FF0000.svg?style=for-the-badge&logo=YouTube&logoColor=white)](https://www.youtube.com/watch?v=YWvktM--614) | | 13663 | Approximate Distance Oracle for Fault-Tolerant Geometric Spanners | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.16397-b31b1b.svg)](https://arxiv.org/abs/2312.16397) | :heavy_minus_sign: | | 3630 | PTMQ: Post-Training Multi-Bit Quantization of Neural Networks | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: | | 2370 | ContactGen: Contact-guided Interactive 3D Human Generation for Partners | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://dongjunku.github.io/contactgen/) | [![arXiv](https://img.shields.io/badge/arXiv-2401.17212-b31b1b.svg)](https://arxiv.org/abs/2401.17212) | :heavy_minus_sign: | ================================================ FILE: sections/2024/main/application_domains.md ================================================ # AAAI-2024-Papers
Application App
## Application Domains ![Section Papers](https://img.shields.io/badge/Section%20Papers-50-42BA16) ![Preprint Papers](https://img.shields.io/badge/Preprint%20Papers-29-b31b1b) ![Papers with Open Code](https://img.shields.io/badge/Papers%20with%20Open%20Code-26-1D7FBF) ![Papers with Video](https://img.shields.io/badge/Papers%20with%20Video-23-FF0000) | :id: | **Title** | **Repo** | **Paper** | **Video** | |------|-----------|:--------:|:---------:|:---------:| | 13692 | [A Multi-Modal Contrastive Diffusion Model for Therapeutic Peptide Generation](https://ojs.aaai.org/index.php/AAAI/article/view/27749) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27749/27541)
[![arXiv](https://img.shields.io/badge/arXiv-2312.15665-b31b1b.svg)](https://arxiv.org/abs/2312.15665) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/27749/27542) | | 2218 | [Towards Automated RISC-V Microarchitecture Design with Reinforcement Learning](https://ojs.aaai.org/index.php/AAAI/article/view/27750) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27750/27543) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/27750/27544) | | 11515 | [Generating Novel Leads for Drug Discovery using LLMs with Logical Feedback](https://ojs.aaai.org/index.php/AAAI/article/view/27751) | [![GitHub](https://img.shields.io/github/stars/Shreyas-Bhat/LMLF?style=flat)](https://github.com/Shreyas-Bhat/LMLF) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27751/27545) | :heavy_minus_sign: | | 4476 | [SeGA: Preference-Aware Self-Contrastive Learning with Prompts for Anomalous User Detection on Twitter](https://ojs.aaai.org/index.php/AAAI/article/view/27752) | [![GitHub](https://img.shields.io/github/stars/ying0409/SeGA?style=flat)](https://github.com/ying0409/SeGA) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27752/27547)
[![arXiv](https://img.shields.io/badge/arXiv-2312.11553-b31b1b.svg)](https://arxiv.org/abs/2312.11553) | :heavy_minus_sign: | | 13248 | [Neural Embeddings for kNN Search in Biological Sequence](https://ojs.aaai.org/index.php/AAAI/article/view/27753) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27753/27549) | :heavy_minus_sign: | | 4869 | [i-Rebalance: Personalized Vehicle Repositioning for Supply Demand Balance](https://ojs.aaai.org/index.php/AAAI/article/view/27754) | [![GitHub](https://img.shields.io/github/stars/Haoyang-Chen/i-Rebalance?style=flat)](https://github.com/Haoyang-Chen/i-Rebalance) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27754/27550)
[![arXiv](https://img.shields.io/badge/arXiv-2401.04429-b31b1b.svg)](https://arxiv.org/abs/2401.04429) | :heavy_minus_sign: | | 9311 | [GIN-SD: Source Detection in Graphs with Incomplete Nodes via Positional Encoding and Attentive Fusion](https://ojs.aaai.org/index.php/AAAI/article/view/27755) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27755/27551)
[![arXiv](https://img.shields.io/badge/arXiv-2403.00014-b31b1b.svg)](https://arxiv.org/abs/2403.00014) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/27755/27552) | | 13901 | [Deep Quantum Error Correction](https://ojs.aaai.org/index.php/AAAI/article/view/27756) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27756/27553)
[![arXiv](https://img.shields.io/badge/arXiv-2301.11930-b31b1b.svg)](https://arxiv.org/abs/2301.11930) | :heavy_minus_sign: | | 1786 | [Propagation Tree is Not Deep: Adaptive Graph Contrastive Learning Approach for Rumor Detection](https://ojs.aaai.org/index.php/AAAI/article/view/27757) | [![GitHub](https://img.shields.io/github/stars/CcQunResearch/RAGCL?style=flat)](https://github.com/CcQunResearch/RAGCL) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27757/27555) | :heavy_minus_sign: | | 7609 | [Prompt to Transfer: Sim-to-Real Transfer for Traffic Signal Control with Prompt Learning](https://ojs.aaai.org/index.php/AAAI/article/view/27758) | [![GitHub](https://img.shields.io/github/stars/DaRL-LibSignal/PromptGAT?style=flat)](https://github.com/DaRL-LibSignal/PromptGAT) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27758/27557)
[![arXiv](https://img.shields.io/badge/arXiv-2308.14284-b31b1b.svg)](https://arxiv.org/abs/2308.14284) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/27758/27558) | | 3800 | [Multitarget Device-Free Localization via Cross-Domain Wi-Fi RSS Training Data and Attentional Prior Fusion](https://ojs.aaai.org/index.php/AAAI/article/view/27759) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27759/27559) | :heavy_minus_sign: | | 7789 | [Heterogeneous Graph Reasoning for Fact Checking over Texts and Tables](https://ojs.aaai.org/index.php/AAAI/article/view/27760) | [![GitHub](https://img.shields.io/github/stars/Deno-V/HeterFC?style=flat)](https://github.com/Deno-V/HeterFC) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27760/27561)
[![arXiv](https://img.shields.io/badge/arXiv-2402.13028-b31b1b.svg)](https://arxiv.org/abs/2402.13028) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/27760/27562) | | 1530 | [Text-Guided Molecule Generation with Diffusion Language Model](https://ojs.aaai.org/index.php/AAAI/article/view/27761) | [![GitHub](https://img.shields.io/github/stars/Deno-V/tgm-dlm?style=flat)](https://github.com/Deno-V/tgm-dlm) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27761/27563)
[![arXiv](https://img.shields.io/badge/arXiv-2402.13040-b31b1b.svg)](https://arxiv.org/abs/2402.13040) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/27761/27564) | | 5579 | [Adversarial Robust Safeguard for Evading Deep Facial Manipulation](https://ojs.aaai.org/index.php/AAAI/article/view/27762) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27762/27565) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/27762/27566) | | 2486 | [FlightBERT++: A Non-Autoregressive Multi-Horizon Flight Trajectory Prediction Framework](https://ojs.aaai.org/index.php/AAAI/article/view/27763) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27763/27567)
[![arXiv](https://img.shields.io/badge/arXiv-2305.01658-b31b1b.svg)](https://arxiv.org/abs/2305.01658) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/27763/27568) | | 9920 | [LogFormer: A Pre-Train and Tuning Pipeline for Log Anomaly Detection](https://ojs.aaai.org/index.php/AAAI/article/view/27764) | [![GitHub](https://img.shields.io/github/stars/HC-Guo/LogFormer?style=flat)](https://github.com/HC-Guo/LogFormer) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27764/27569)
[![arXiv](https://img.shields.io/badge/arXiv-2401.04749-b31b1b.svg)](https://arxiv.org/abs/2401.04749) | :heavy_minus_sign: | | 11120 | [ContraNovo: A Contrastive Learning Approach to Enhance De Novo Peptide Sequencing](https://ojs.aaai.org/index.php/AAAI/article/view/27765) | [![GitHub](https://img.shields.io/github/stars/BEAM-Labs/ContraNovo?style=flat)](https://github.com/BEAM-Labs/ContraNovo) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27765/27571)
[![arXiv](https://img.shields.io/badge/arXiv-2312.11584-b31b1b.svg)](https://arxiv.org/abs/2312.11584) | :heavy_minus_sign: | | 14071 | [Inducing Point Operator Transformer: A Flexible and Scalable Architecture for Solving PDEs](https://ojs.aaai.org/index.php/AAAI/article/view/27766) | [![GitHub](https://img.shields.io/github/stars/7tl7qns7ch/IPOT?style=flat)](https://github.com/7tl7qns7ch/IPOT) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27766/27573)
[![arXiv](https://img.shields.io/badge/arXiv-2312.10975-b31b1b.svg)](https://arxiv.org/abs/2312.10975) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/27766/27574) | | 13208 | [MASTER: Market-Guided Stock Transformer for Stock Price Forecasting](https://ojs.aaai.org/index.php/AAAI/article/view/27767) | [![GitHub](https://img.shields.io/github/stars/SJTU-Quant/MASTER?style=flat)](https://github.com/SJTU-Quant/MASTER) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27767/27575)
[![arXiv](https://img.shields.io/badge/arXiv-2312.15235-b31b1b.svg)](https://arxiv.org/abs/2312.15235) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/27767/27576) | | 3916 | [Learning from Polar Representation: An Extreme-Adaptive Model for Long-Term Time Series Forecasting](https://ojs.aaai.org/index.php/AAAI/article/view/27768) | [![GitHub](https://img.shields.io/github/stars/davidanastasiu/dan?style=flat)](https://github.com/davidanastasiu/dan) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27768/27577)
[![arXiv](https://img.shields.io/badge/arXiv-2312.08763-b31b1b.svg)](https://arxiv.org/abs/2312.08763) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/27768/27578) | | 7136 | [The Causal Impact of Credit Lines on Spending Distributions](https://ojs.aaai.org/index.php/AAAI/article/view/27769) | [![GitHub](https://img.shields.io/github/stars/lyjsilence/The-Causal-Impact-of-Credit-Lines-on-Spending-Distributions?style=flat)](https://github.com/lyjsilence/The-Causal-Impact-of-Credit-Lines-on-Spending-Distributions) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27769/27579)
[![arXiv](https://img.shields.io/badge/arXiv-2312.10388-b31b1b.svg)](https://arxiv.org/abs/2312.10388) | :heavy_minus_sign: | | 13761 | [Improving PTM Site Prediction by Coupling of Multi-Granularity Structure and Multi-Scale Sequence Representation](https://ojs.aaai.org/index.php/AAAI/article/view/27770) | [![GitHub](https://img.shields.io/github/stars/LZY-HZAU/PTM-CMGMS?style=flat)](https://github.com/LZY-HZAU/PTM-CMGMS) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27770/27580)
[![arXiv](https://img.shields.io/badge/arXiv-2401.10211-b31b1b.svg)](https://arxiv.org/abs/2401.10211) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/27770/27581) | | 3794 | [Joint Learning Neuronal Skeleton and Brain Circuit Topology with Permutation Invariant Encoders for Neuron Classification](https://ojs.aaai.org/index.php/AAAI/article/view/27771) | [![GitHub](https://img.shields.io/github/stars/WHUminghui/NeuNet?style=flat)](https://github.com/WHUminghui/NeuNet) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27771/27582)
[![arXiv](https://img.shields.io/badge/arXiv-2312.14518-b31b1b.svg)](https://arxiv.org/abs/2312.14518) | :heavy_minus_sign: | | 6770 | [Root Cause Analysis in Microservice using Neural Granger Causal Discovery](https://ojs.aaai.org/index.php/AAAI/article/view/27772) | [![GitHub](https://img.shields.io/github/stars/zmlin1998/RUN?style=flat)](https://github.com/zmlin1998/RUN) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27772/27584)
[![arXiv](https://img.shields.io/badge/arXiv-2402.01140-b31b1b.svg)](https://arxiv.org/abs/2402.01140) | :heavy_minus_sign: | | 10775 | [Model-Driven Deep Neural Network for Enhanced AoA Estimation using 5G gNB](https://ojs.aaai.org/index.php/AAAI/article/view/27773) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27773/27585) | :heavy_minus_sign: | | 13188 | [MID-FiLD: MIDI Dataset for Fine-Level Dynamics](https://ojs.aaai.org/index.php/AAAI/article/view/27774) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27774/27587) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/27774/27588) | | 14189 | [PosDiffNet: Positional Neural Diffusion for Point Cloud Registration in a Large Field of View with Perturbations](https://ojs.aaai.org/index.php/AAAI/article/view/27775) | [![GitHub](https://img.shields.io/github/stars/AI-IT-AVs/PosDiffNet?style=flat)](https://github.com/AI-IT-AVs/PosDiffNet) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27775/27589)
[![arXiv](https://img.shields.io/badge/arXiv-2401.03167-b31b1b.svg)](https://arxiv.org/abs/2401.03167) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/27775/27590) | | 9759 | [StegaStyleGAN: Towards Generic and Practical Generative Image Steganography](https://ojs.aaai.org/index.php/AAAI/article/view/27776) | [![GitHub](https://img.shields.io/github/stars/vazswk/StegaStyleGAN?style=flat)](https://github.com/vazswk/StegaStyleGAN) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27776/27591) | :heavy_minus_sign: | | 4528 | [Dual-Channel Learning Framework for Drug-Drug Interaction Prediction via Relation-Aware Heterogeneous Graph Transformer](https://ojs.aaai.org/index.php/AAAI/article/view/27777) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27777/27592) | :heavy_minus_sign: | | 8016 | [Molecular Optimization Model with Patentability Constraint](https://ojs.aaai.org/index.php/AAAI/article/view/27778) | [![GitHub](https://img.shields.io/github/stars/SallyTurutov/MOMP?style=flat)](https://github.com/SallyTurutov/MOMP) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27778/27594) | :heavy_minus_sign: | | 2696 | [Generalizable Sleep Staging via Multi-Level Domain Alignment](https://ojs.aaai.org/index.php/AAAI/article/view/27779) | [![GitHub](https://img.shields.io/github/stars/wjq-learning/SleepDG?style=flat)](https://github.com/wjq-learning/SleepDG) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27779/27595)
[![arXiv](https://img.shields.io/badge/arXiv-2401.05363-b31b1b.svg)](https://arxiv.org/abs/2401.05363) | :heavy_minus_sign: | | 5576 | [Inspecting Prediction Confidence for Detecting Black-Box Backdoor Attacks](https://ojs.aaai.org/index.php/AAAI/article/view/27780) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27780/27597) | :heavy_minus_sign: | | 5924 | [Conformal Crystal Graph Transformer with Robust Encoding of Periodic Invariance](https://ojs.aaai.org/index.php/AAAI/article/view/27781) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27781/27598) | :heavy_minus_sign: | | 1956 | [SuperJunction: Learning-based Junction Detection for Retinal Image Registration](https://ojs.aaai.org/index.php/AAAI/article/view/27782) | [![GitHub](https://img.shields.io/github/stars/samjcheng/SuperJunction?style=flat)](https://github.com/samjcheng/SuperJunction) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27782/27600) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/27782/27601) | | 6233 | [Explore 3D Dance Generation via Reward Model from Automatically-Ranked Demonstrations](https://ojs.aaai.org/index.php/AAAI/article/view/27783) | [![WEB Page](https://img.shields.io/badge/WEB-Page-159957.svg)](https://sites.google.com/view/e3d2) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27783/27602)
[![arXiv](https://img.shields.io/badge/arXiv-2312.11442-b31b1b.svg)](https://arxiv.org/abs/2312.11442) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/27783/27603) | | 2733 | [PSC-CPI: Multi-Scale Protein Sequence-Structure Contrasting for Efficient and Generalizable Compound-Protein Interaction Prediction](https://ojs.aaai.org/index.php/AAAI/article/view/27784) | [![GitHub](https://img.shields.io/github/stars/LirongWu/PSC-CPI?style=flat)](https://github.com/LirongWu/PSC-CPI) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27784/27604)
[![arXiv](https://img.shields.io/badge/arXiv-2402.08198-b31b1b.svg)](https://arxiv.org/abs/2402.08198) | :heavy_minus_sign: | | 10058 | [Uncertainty Quantification for Forward and Inverse Problems of PDEs via Latent Global Evolution](https://ojs.aaai.org/index.php/AAAI/article/view/27785) | [![GitHub](https://img.shields.io/github/stars/AI4Science-WestlakeU/le-pde-uq?style=flat)](https://github.com/AI4Science-WestlakeU/le-pde-uq) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27785/27606)
[![arXiv](https://img.shields.io/badge/arXiv-2402.08383-b31b1b.svg)](https://arxiv.org/abs/2402.08383) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/27785/27607) | | 6931 | [Multilevel Attention Network with Semi-supervised Domain Adaptation for Drug-Target Prediction](https://ojs.aaai.org/index.php/AAAI/article/view/27786) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27786/27608) | :heavy_minus_sign: | | 6428 | [Geometric-Facilitated Denoising Diffusion Model for 3D Molecule Generation](https://ojs.aaai.org/index.php/AAAI/article/view/27787) | [![GitHub](https://img.shields.io/github/stars/LEOXC1571/GFMDiff?style=flat)](https://github.com/LEOXC1571/GFMDiff) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27787/27610)
[![arXiv](https://img.shields.io/badge/arXiv-2401.02683-b31b1b.svg)](https://arxiv.org/abs/2401.02683) | :heavy_minus_sign: | | 7348 | [GAMC: An Unsupervised Method for Fake News Detection using Graph Autoencoder with Masking](https://ojs.aaai.org/index.php/AAAI/article/view/27788) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27788/27611)
[![arXiv](https://img.shields.io/badge/arXiv-2312.05739-b31b1b.svg)](https://arxiv.org/abs/2312.05739) | :heavy_minus_sign: | | 4895 | [Unsupervised Gene-Cell Collective Representation Learning with Optimal Transport](https://ojs.aaai.org/index.php/AAAI/article/view/27789) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27789/27613) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/27789/27614) | | 13372 | [MCSSME: Multi-Task Contrastive Learning for Semi-Supervised Singing Melody Extraction from Polyphonic Music](https://ojs.aaai.org/index.php/AAAI/article/view/27790) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27790/27615) | :heavy_minus_sign: | | 14042 | [RetroOOD: Understanding Out-of-Distribution Generalization in Retrosynthesis Prediction](https://ojs.aaai.org/index.php/AAAI/article/view/27791) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27791/27616)
[![arXiv](https://img.shields.io/badge/arXiv-2312.10900-b31b1b.svg)](https://arxiv.org/abs/2312.10900) | :heavy_minus_sign: | | 11378 | [Designing Biological Sequences without Prior Knowledge using Evolutionary Reinforcement Learning](https://ojs.aaai.org/index.php/AAAI/article/view/27792) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27792/27617) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/27792/27618) | | 1284 | [Adversarial Socialbots Modeling based on Structural Information Principles](https://ojs.aaai.org/index.php/AAAI/article/view/27793) | [![GitHub](https://img.shields.io/github/stars/SELGroup/SIASM?style=flat)](https://github.com/SELGroup/SIASM) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27793/27619)
[![arXiv](https://img.shields.io/badge/arXiv-2312.08098-b31b1b.svg)](https://arxiv.org/abs/2312.08098) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/27793/27620) | | 5298 | [NondBREM: Nondeterministic Offline Reinforcement Learning for Large-Scale Order Dispatching](https://ojs.aaai.org/index.php/AAAI/article/view/27794) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27794/27621) | :heavy_minus_sign: | | 4957 | [Scale Optimization using Evolutionary Reinforcement Learning for Object Detection on Drone Imagery](https://ojs.aaai.org/index.php/AAAI/article/view/27795) | [![GitHub](https://img.shields.io/github/stars/UNNC-CV/EvOD?style=flat)](https://github.com/UNNC-CV/EvOD) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27795/27623)
[![arXiv](https://img.shields.io/badge/arXiv-2312.15219-b31b1b.svg)](https://arxiv.org/abs/2312.15219) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/27795/27624) | | 10957 | [Adversarial Attacks on Federated-Learned Adaptive Bitrate Algorithms](https://ojs.aaai.org/index.php/AAAI/article/view/27796) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27796/27625) | :heavy_minus_sign: | | 1525 | [Generalize for Future: Slow and Fast Trajectory Learning for CTR Prediction](https://ojs.aaai.org/index.php/AAAI/article/view/27797) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27797/27626) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/27797/27627) | | 5134 | [Hot or Cold? Adaptive Temperature Sampling for Code Generation with Large Language Models](https://ojs.aaai.org/index.php/AAAI/article/view/27798) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27798/27628)
[![arXiv](https://img.shields.io/badge/arXiv-2309.02772-b31b1b.svg)](https://arxiv.org/abs/2309.02772) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/27798/27629) | ================================================ FILE: sections/2024/main/computer_vision.md ================================================ # AAAI-2024-Papers
Application App
## Computer Vision ![Section Papers](https://img.shields.io/badge/Section%20Papers-804-42BA16) ![Preprint Papers](https://img.shields.io/badge/Preprint%20Papers-207-b31b1b) ![Papers with Open Code](https://img.shields.io/badge/Papers%20with%20Open%20Code-189-1D7FBF) ![Papers with Video](https://img.shields.io/badge/Papers%20with%20Video-173-FF0000) | :id: | **Title** | **Repo** | **Paper** | **Video** | |------|-----------|:--------:|:---------:|:---------:| | 5625 | [DreamStyler: Paint by Style Inversion with Text-to-Image Diffusion Models](https://ojs.aaai.org/index.php/AAAI/article/view/27824) | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://nmhkahn.github.io/dreamstyler/)
[![GitHub](https://img.shields.io/github/stars/webtoon/dreamstyler?style=flat)](https://github.com/webtoon/dreamstyler) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27824/27678)
[![arXiv](https://img.shields.io/badge/arXiv-2309.06933-b31b1b.svg)](https://arxiv.org/abs/2309.06933) | :heavy_minus_sign: | | 9337 | [Context Enhanced Transformer for Single Image Object Detection in Video Data](https://ojs.aaai.org/index.php/AAAI/article/view/27825) | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://ku-cvlab.github.io/CETR/)
[![GitHub](https://img.shields.io/github/stars/KU-CVLAB/CETR?style=flat)](https://github.com/KU-CVLAB/CETR) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27825/27680)
[![arXiv](https://img.shields.io/badge/arXiv-2312.14492-b31b1b.svg)](https://arxiv.org/abs/2312.14492) | :heavy_minus_sign: | | 4884 | [SHaRPose: Sparse High-Resolution Representation for Human Pose Estimation](https://ojs.aaai.org/index.php/AAAI/article/view/27826) | [![GitHub](https://img.shields.io/github/stars/AnxQ/sharpose?style=flat)](https://github.com/AnxQ/sharpose) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27826/27681)
[![arXiv](https://img.shields.io/badge/arXiv-2312.10758-b31b1b.svg)](https://arxiv.org/abs/2312.10758) | :heavy_minus_sign: | | 13903 | [Comparing the Robustness of Modern No-Reference Image- and Video-Quality Metrics to Adversarial Attacks](https://ojs.aaai.org/index.php/AAAI/article/view/27827) | [![GitHub](https://img.shields.io/github/stars/msu-video-group/MSU_Metrics_Robustness_Benchmark?style=flat)](https://github.com/msu-video-group/MSU_Metrics_Robustness_Benchmark) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27827/27683)
[![arXiv](https://img.shields.io/badge/arXiv-2310.06958-b31b1b.svg)](https://arxiv.org/abs/2310.06958) | :heavy_minus_sign: | | 5931 | [DocFormerv2: Local Features for Document Understanding](https://ojs.aaai.org/index.php/AAAI/article/view/27828) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27828/27685) | :heavy_minus_sign: | | 3524 | [Exposing the Deception: Uncovering more Forgery Clues for Deepfake Detection](https://ojs.aaai.org/index.php/AAAI/article/view/27829) | [![GitHub](https://img.shields.io/github/stars/QingyuLiu/Exposing-the-Deception?style=flat)](https://github.com/QingyuLiu/Exposing-the-Deception) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27829/27686)
[![arXiv](https://img.shields.io/badge/arXiv-2403.01786-b31b1b.svg)](https://arxiv.org/abs/2403.01786) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/27829/27687) | | 4794 | [Prompt-based Distribution Alignment for Unsupervised Domain Adaptation](https://ojs.aaai.org/index.php/AAAI/article/view/27830) | [![GitHub](https://img.shields.io/github/stars/BaiShuanghao/Prompt-based-Distribution-Alignment?style=flat)](https://github.com/BaiShuanghao/Prompt-based-Distribution-Alignment) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27830/27688)
[![arXiv](https://img.shields.io/badge/arXiv-2312.09553-b31b1b.svg)](https://arxiv.org/abs/2312.09553) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/27830/27689) | | 6627 | [Local-Global Multi-Modal Distillation for Weakly-Supervised Temporal Video Grounding](https://ojs.aaai.org/index.php/AAAI/article/view/27831) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27831/27690) | :heavy_minus_sign: | | 5480 | [Omnipotent Distillation with LLMs for Weakly-Supervised Natural Language Video Localization: When Divergence Meets Consistency](https://ojs.aaai.org/index.php/AAAI/article/view/27832) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27832/27691) | :heavy_minus_sign: | | 2606 | [Improving Diffusion-based Image Restoration with Error Contraction and Error Correction](https://ojs.aaai.org/index.php/AAAI/article/view/27833) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27833/27692) | :heavy_minus_sign: | | 1982 | [Relevant Intrinsic Feature Enhancement Network for Few-Shot Semantic Segmentation](https://ojs.aaai.org/index.php/AAAI/article/view/27834) | [![GitHub](https://img.shields.io/github/stars/baoxiaoyi/RiFeNet?style=flat)](https://github.com/baoxiaoyi/RiFeNet) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27834/27694)
[![arXiv](https://img.shields.io/badge/arXiv-2312.06474-b31b1b.svg)](https://arxiv.org/abs/2312.06474) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/27834/27695) | | 10623 | [Image Safeguarding: Reasoning with Conditional Vision Language Model and Obfuscating Unsafe Content Counterfactually](https://ojs.aaai.org/index.php/AAAI/article/view/27835) | [![GitHub](https://img.shields.io/github/stars/SecureAIAutonomyLab/ConditionalVLM?style=flat)](https://github.com/SecureAIAutonomyLab/ConditionalVLM) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27835/27696)
[![arXiv](https://img.shields.io/badge/arXiv-2401.11035-b31b1b.svg)](https://arxiv.org/abs/2401.11035) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/27835/27697) | | 12412 | [DanceAnyWay: Synthesizing Beat-Guided 3D Dances with Randomized Temporal Contrastive Learning](https://ojs.aaai.org/index.php/AAAI/article/view/27836) | [![GitHub](https://img.shields.io/github/stars/aneeshbhattacharya/DanceAnyWay?style=flat)](https://github.com/aneeshbhattacharya/DanceAnyWay) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27836/27698)
[![arXiv](https://img.shields.io/badge/arXiv-2303.03870-b31b1b.svg)](https://arxiv.org/abs/2303.03870) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/27836/27699) | | 2134 | [DiffSED: Sound Event Detection with Denoising Diffusion](https://ojs.aaai.org/index.php/AAAI/article/view/27837) | [![GitHub](https://img.shields.io/github/stars/sauradip/DiffSED?style=flat)](https://github.com/sauradip/DiffSED) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27837/27700)
[![arXiv](https://img.shields.io/badge/arXiv-2308.07293-b31b1b.svg)](https://arxiv.org/abs/2308.07293) | :heavy_minus_sign: | | 2357 | [Learning Generalized Segmentation for Foggy-Scenes by Bi-Directional Wavelet Guidance](https://ojs.aaai.org/index.php/AAAI/article/view/27838) | [![GitHub](https://img.shields.io/github/stars/BiQiWHU/BWG?style=flat)](https://github.com/BiQiWHU/BWG) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27838/27702) | :heavy_minus_sign: | | 1207 | [Learning Generalized Medical Image Segmentation from Decoupled Feature Queries](https://ojs.aaai.org/index.php/AAAI/article/view/27839) | [![GitHub](https://img.shields.io/github/stars/BiQiWHU/DFQ?style=flat)](https://github.com/BiQiWHU/DFQ) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27839/27704) | :heavy_minus_sign: | | 3218 | [Learning Content-Enhanced Mask Transformer for Domain Generalized Urban-Scene Segmentation](https://ojs.aaai.org/index.php/AAAI/article/view/27840) | [![GitHub](https://img.shields.io/github/stars/BiQiWHU/CMFormer?style=flat)](https://github.com/BiQiWHU/CMFormer) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27840/27706)
[![arXiv](https://img.shields.io/badge/arXiv-2307.00371-b31b1b.svg)](https://arxiv.org/abs/2307.00371) | :heavy_minus_sign: | | 1017 | [ShapeBoost: Boosting Human Shape Estimation with Part-based Parameterization and Clothing-Preserving Augmentation](https://ojs.aaai.org/index.php/AAAI/article/view/27841) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27841/27708)
[![arXiv](https://img.shields.io/badge/arXiv-2403.01345-b31b1b.svg)](https://arxiv.org/abs/2403.01345) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/27841/27709) | | 8726 | [MICA: Towards Explainable Skin Lesion Diagnosis via Multi-Level Image-Concept Alignment](https://ojs.aaai.org/index.php/AAAI/article/view/27842) | [![GitHub](https://img.shields.io/github/stars/Tommy-Bie/MICA?style=flat)](https://github.com/Tommy-Bie/MICA) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27842/27710)
[![arXiv](https://img.shields.io/badge/arXiv-2401.08527-b31b1b.svg)](https://arxiv.org/abs/2401.08527) | :heavy_minus_sign: | | 13953 | [VIXEN: Visual Text Comparison Network for Image Difference Captioning](https://ojs.aaai.org/index.php/AAAI/article/view/27843) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27843/27712)
[![arXiv](https://img.shields.io/badge/arXiv-2402.19119-b31b1b.svg)](https://arxiv.org/abs/2402.19119) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/27843/27713) | | 3464 | [SRFormer: Text Detection Transformer with Incorporated Segmentation and Regression](https://ojs.aaai.org/index.php/AAAI/article/view/27844) | [![GitHub](https://img.shields.io/github/stars/retsuh-bqw/SRFormer-Text-Det?style=flat)](https://github.com/retsuh-bqw/SRFormer-Text-Det) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27844/27714)
[![arXiv](https://img.shields.io/badge/arXiv-2308.10531-b31b1b.svg)](https://arxiv.org/abs/2308.10531) | :heavy_minus_sign: | | 2810 | [Orthogonal Dictionary Guided Shape Completion Network for Point Cloud](https://ojs.aaai.org/index.php/AAAI/article/view/27845) | [![GitHub](https://img.shields.io/github/stars/corecai163/ODGNet?style=flat)](https://github.com/corecai163/ODGNet) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27845/27716) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/27845/27717) | | 4000 | [Spherical Pseudo-Cylindrical Representation for Omnidirectional Image Super-Resolution](https://ojs.aaai.org/index.php/AAAI/article/view/27846) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27846/27718) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/27846/27719) | | 199 | [Disentangled Diffusion-based 3D Human Pose Estimation with Hierarchical Spatial and Temporal Denoiser](https://ojs.aaai.org/index.php/AAAI/article/view/27847) | [![GitHub](https://img.shields.io/github/stars/Andyen512/DDHPose?style=flat)](https://github.com/Andyen512/DDHPose) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27847/27720)
[![arXiv](https://img.shields.io/badge/arXiv-2403.04444-b31b1b.svg)](https://arxiv.org/abs/2403.04444) | :heavy_minus_sign: | | 8924 | [Rethinking the Paradigm of Content Constraints in Unpaired Image-to-Image Translation](https://ojs.aaai.org/index.php/AAAI/article/view/27848) | [![GitHub](https://img.shields.io/github/stars/XiudingCai/EnCo-pytorch?style=flat)](https://github.com/XiudingCai/EnCo-pytorch) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27848/27722)
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[![arXiv](https://img.shields.io/badge/arXiv-2312.10611-b31b1b.svg)](https://arxiv.org/abs/2312.10611) | :heavy_minus_sign: | | 2001 | [Domain-Controlled Prompt Learning](https://ojs.aaai.org/index.php/AAAI/article/view/27853) | [![GitHub](https://img.shields.io/github/stars/caoql98/DCPL?style=flat)](https://github.com/caoql98/DCPL) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27853/27732)
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[![arXiv](https://img.shields.io/badge/arXiv-2309.11248-b31b1b.svg)](https://arxiv.org/abs/2309.11248) | :heavy_minus_sign: | | 8940 | [FashionERN: Enhance-and-Refine Network for Composed Fashion Image Retrieval](https://ojs.aaai.org/index.php/AAAI/article/view/27885) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27885/27795) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/27885/27796) | | 6913 | [IT3D: Improved Text-to-3D Generation with Explicit View Synthesis](https://ojs.aaai.org/index.php/AAAI/article/view/27886) | [![GitHub](https://img.shields.io/github/stars/buaacyw/IT3D-text-to-3D?style=flat)](https://github.com/buaacyw/IT3D-text-to-3D) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27886/27797)
[![arXiv](https://img.shields.io/badge/arXiv-2308.11473-b31b1b.svg)](https://arxiv.org/abs/2308.11473) | :heavy_minus_sign: | | 2269 | [Beyond the Label Itself: Latent Labels Enhance Semi-Supervised Point Cloud Panoptic Segmentation](https://ojs.aaai.org/index.php/AAAI/article/view/27887) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27887/27799)
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[![arXiv](https://img.shields.io/badge/arXiv-2301.05226-b31b1b.svg)](https://arxiv.org/abs/2301.05226) | :heavy_minus_sign: | | 11020 | [Blind Face Restoration under Extreme Conditions: Leveraging 3D-2D Prior Fusion for Superior Structural and Texture Recovery](https://ojs.aaai.org/index.php/AAAI/article/view/27889) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27889/27803) | :heavy_minus_sign: | | 3048 | [CamoDiffusion: Camouflaged Object Detection via Conditional Diffusion Models](https://ojs.aaai.org/index.php/AAAI/article/view/27890) | [![GitHub](https://img.shields.io/github/stars/Rapisurazurite/CamoDiffusion?style=flat)](https://github.com/Rapisurazurite/CamoDiffusion) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27890/27805)
[![arXiv](https://img.shields.io/badge/arXiv-2305.17932-b31b1b.svg)](https://arxiv.org/abs/2305.17932) | :heavy_minus_sign: | | 2770 | [DreamIdentity: Enhanced Editability for Efficient Face-Identity Preserved Image Generation](https://ojs.aaai.org/index.php/AAAI/article/view/27891) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27891/27807) | :heavy_minus_sign: | | 2359 | [Deep Linear Array Pushbroom Image Restoration: A Degradation Pipeline and Jitter-Aware Restoration Network](https://ojs.aaai.org/index.php/AAAI/article/view/27892) | [![GitHub](https://img.shields.io/github/stars/JHW2000/JARNet?style=flat)](https://github.com/JHW2000/JARNet) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27892/27808)
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[![arXiv](https://img.shields.io/badge/arXiv-2305.07024-b31b1b.svg)](https://arxiv.org/abs/2305.07024) | :heavy_minus_sign: | | 1487 | [Colorizing Monochromatic Radiance Fields](https://ojs.aaai.org/index.php/AAAI/article/view/27895) | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://liquidammonia.github.io/color-nerf/)
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[![arXiv](https://img.shields.io/badge/arXiv-2303.07216-b31b1b.svg)](https://arxiv.org/abs/2303.07216) | :heavy_minus_sign: | | 367 | [iDet3D: Towards Efficient Interactive Object Detection for LiDAR Point Clouds](https://ojs.aaai.org/index.php/AAAI/article/view/27897) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27897/27816)
[![arXiv](https://img.shields.io/badge/arXiv-2312.15449-b31b1b.svg)](https://arxiv.org/abs/2312.15449) | :heavy_minus_sign: | | 13307 | [Fusion-Vital: Video-RF Fusion Transformer for Advanced Remote Physiological Measurement](https://ojs.aaai.org/index.php/AAAI/article/view/27898) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27898/27818) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/27898/27819) | | 842 | [MeDM: Mediating Image Diffusion Models for Video-to-Video Translation with Temporal Correspondence Guidance](https://ojs.aaai.org/index.php/AAAI/article/view/27899) | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://medm2023.github.io/)
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[![arXiv](https://img.shields.io/badge/arXiv-2306.11920-b31b1b.svg)](https://arxiv.org/abs/2306.11920) | :heavy_minus_sign: | | 2480 | [Decoupled Optimisation for Long-Tailed Visual Recognition](https://ojs.aaai.org/index.php/AAAI/article/view/27902) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27902/27826) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/27902/27827) | | 5870 | [Underwater Organism Color Fine-Tuning via Decomposition and Guidance](https://ojs.aaai.org/index.php/AAAI/article/view/27903) | [![GitHub](https://img.shields.io/github/stars/Xiaofeng-life/CECF?style=flat)](https://github.com/Xiaofeng-life/CECF) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27903/27828) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/27903/27829) | | 1682 | [Color Event Enhanced Single-Exposure HDR Imaging](https://ojs.aaai.org/index.php/AAAI/article/view/27904) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27904/27830) | :heavy_minus_sign: | | 12434 | [PHFormer: Multi-Fragment Assembly using Proxy-Level Hybrid Transformer](https://ojs.aaai.org/index.php/AAAI/article/view/27905) | [![GitHub](https://img.shields.io/github/stars/521piglet/PHFormer?style=flat)](https://github.com/521piglet/PHFormer) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27905/27832) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/27905/27833) | | 3796 | [Trash to Treasure: Low-Light Object Detection via Decomposition-and-Aggregation](https://ojs.aaai.org/index.php/AAAI/article/view/27906) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27906/27834)
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[![arXiv](https://img.shields.io/badge/arXiv-2307.05180-b31b1b.svg)](https://arxiv.org/abs/2307.05180) | :heavy_minus_sign: | | 1424 | [SDGMNet: Statistic-based Dynamic Gradient Modulation for Local Descriptor Learning](https://ojs.aaai.org/index.php/AAAI/article/view/27916) | [![GitHub](https://img.shields.io/github/stars/ACuOoOoO/SDGMNet?style=flat)](https://github.com/ACuOoOoO/SDGMNet) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27916/27854)
[![arXiv](https://img.shields.io/badge/arXiv-2106.04434-b31b1b.svg)](https://arxiv.org/abs/2106.04434) | :heavy_minus_sign: | | 8875 | [Stereo Vision Conversion from Planar Videos based on Temporal Multiplane Images](https://ojs.aaai.org/index.php/AAAI/article/view/27917) | [![GitHub](https://img.shields.io/github/stars/Dio3ding/TMPI?style=flat)](https://github.com/Dio3ding/TMPI) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27917/27856) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/27917/27857) | | 2246 | [Weak Distribution Detectors Lead to Stronger Generalizability of Vision-Language Prompt Tuning](https://ojs.aaai.org/index.php/AAAI/article/view/27918) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27918/27858)
[![arXiv](https://img.shields.io/badge/arXiv-2404.00603-b31b1b.svg)](https://arxiv.org/abs/2404.00603) | :heavy_minus_sign: | | 1338 | [Expressive Forecasting of 3D Whole-Body Human Motions](https://ojs.aaai.org/index.php/AAAI/article/view/27919) | [![GitHub](https://img.shields.io/github/stars/Dingpx/EAI?style=flat)](https://github.com/Dingpx/EAI) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27919/27860)
[![arXiv](https://img.shields.io/badge/arXiv-2312.11972-b31b1b.svg)](https://arxiv.org/abs/2312.11972) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/27919/27861) | | 6244 | [Transferable Adversarial Attacks for Object Detection using Object-Aware Significant Feature Distortion](https://ojs.aaai.org/index.php/AAAI/article/view/27920) | [![GitHub](https://img.shields.io/github/stars/wakuwu/OSFD?style=flat)](https://github.com/wakuwu/OSFD) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27920/27862) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/27920/27863) | | 5829 | [Hyp-OW: Exploiting Hierarchical Structure Learning with Hyperbolic Distance Enhances Open World Object Detection](https://ojs.aaai.org/index.php/AAAI/article/view/27921) | [![GitHub](https://img.shields.io/github/stars/boschresearch/Hyp-OW?style=flat)](https://github.com/boschresearch/Hyp-OW)
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[![arXiv](https://img.shields.io/badge/arXiv-2306.14291-b31b1b.svg)](https://arxiv.org/abs/2306.14291) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/27921/27865) | | 2683 | [Exploiting Polarized Material Cues for Robust Car Detection](https://ojs.aaai.org/index.php/AAAI/article/view/27922) | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://wind1117.github.io/publication/2024-AAAI-PolarCar)
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[![arXiv](https://img.shields.io/badge/arXiv-2401.00271-b31b1b.svg)](https://arxiv.org/abs/2401.00271) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/27926/27874) | | 11070 | [PPEA-Depth: Progressive Parameter-Efficient Adaptation for Self-Supervised Monocular Depth Estimation](https://ojs.aaai.org/index.php/AAAI/article/view/27927) | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://yuejiangdong.github.io/PPEADepth/)
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[![arXiv](https://img.shields.io/badge/arXiv-2403.05117-b31b1b.svg)](https://arxiv.org/abs/2403.05117) | :heavy_minus_sign: | | 6665 | [CDPNet: Cross-Modal Dual Phases Network for Point Cloud Completion](https://ojs.aaai.org/index.php/AAAI/article/view/27930) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27930/27881) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/27930/27882) | | 853 | [Tuning-Free Inversion-Enhanced Control for Consistent Image Editing](https://ojs.aaai.org/index.php/AAAI/article/view/27931) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27931/27883)
[![arXiv](https://img.shields.io/badge/arXiv-2312.14611-b31b1b.svg)](https://arxiv.org/abs/2312.14611) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/27931/27884) | | 1788 | [WeditGAN: Few-Shot Image Generation via Latent Space Relocation](https://ojs.aaai.org/index.php/AAAI/article/view/27932) | [![GitHub](https://img.shields.io/github/stars/Ldhlwh/WeditGAN?style=flat)](https://github.com/Ldhlwh/WeditGAN) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27932/27885)
[![arXiv](https://img.shields.io/badge/arXiv-2305.06671-b31b1b.svg)](https://arxiv.org/abs/2305.06671) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/27932/27886) | | 2734 | [SkeletonGait: Gait Recognition using Skeleton Maps](https://ojs.aaai.org/index.php/AAAI/article/view/27933) | [![GitHub](https://img.shields.io/github/stars/ShiqiYu/OpenGait?style=flat)](https://github.com/ShiqiYu/OpenGait) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27933/27887)
[![arXiv](https://img.shields.io/badge/arXiv-2311.13444-b31b1b.svg)](https://arxiv.org/abs/2311.13444) | :heavy_minus_sign: | | 8975 | [TDeLTA: A Light-Weight and Robust Table Detection Method based on Learning Text Arrangement](https://ojs.aaai.org/index.php/AAAI/article/view/27934) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27934/27889)
[![arXiv](https://img.shields.io/badge/arXiv-2312.11043-b31b1b.svg)](https://arxiv.org/abs/2312.11043) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/27934/27890) | | 6529 | [Collaborative Tooth Motion Diffusion Model in Digital Orthodontics](https://ojs.aaai.org/index.php/AAAI/article/view/27935) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27935/27891) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/27935/27892) | | 2811 | [Everything2Motion: Synchronizing Diverse Inputs via a Unified Framework for Human Motion Synthesis](https://ojs.aaai.org/index.php/AAAI/article/view/27936) | [![GitHub](https://img.shields.io/github/stars/robingg1/Everything2Motion?style=flat)](https://github.com/robingg1/Everything2Motion) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27936/27893) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/27936/27894) | | 3253 | [Variance-Insensitive and Target-Preserving Mask Refinement for Interactive Image Segmentation](https://ojs.aaai.org/index.php/AAAI/article/view/27937) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27937/27895)
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[![arXiv](https://img.shields.io/badge/arXiv-2401.11499-b31b1b.svg)](https://arxiv.org/abs/2401.11499) | :heavy_minus_sign: | | 1595 | [Fewer Steps, Better Performance: Efficient Cross-Modal Clip Trimming for Video Moment Retrieval Using Language](https://ojs.aaai.org/index.php/AAAI/article/view/27941) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27941/27902) | :heavy_minus_sign: | | 4117 | [An Embedding-Unleashing Video Polyp Segmentation Framework via Region Linking and Scale Alignment](https://ojs.aaai.org/index.php/AAAI/article/view/27942) | [![GitHub](https://img.shields.io/github/stars/zhixue-fang/EUVPS?style=flat)](https://github.com/zhixue-fang/EUVPS) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27942/27904) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/27942/27905) | | 9707 | [Debiased Novel Category Discovering and Localization](https://ojs.aaai.org/index.php/AAAI/article/view/27943) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27943/27906)
[![arXiv](https://img.shields.io/badge/arXiv-2402.18821-b31b1b.svg)](https://arxiv.org/abs/2402.18821) | :heavy_minus_sign: | | 2899 | [Interpretable3D: An Ad-Hoc Interpretable Classifier for 3D Point Clouds](https://ojs.aaai.org/index.php/AAAI/article/view/27944) | [![GitHub](https://img.shields.io/github/stars/FengZicai/Interpretable3D?style=flat)](https://github.com/FengZicai/Interpretable3D) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27944/27908) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/27944/27909) | | 2829 | [Mimic: Speaking Style Disentanglement for Speech-Driven 3D Facial Animation](https://ojs.aaai.org/index.php/AAAI/article/view/27945) | [![WEB Page](https://img.shields.io/badge/WEB-Page-159957.svg)](https://www.naptmn.cn/Mimic/)
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[![arXiv](https://img.shields.io/badge/arXiv-2312.14915-b31b1b.svg)](https://arxiv.org/abs/2312.14915) | :heavy_minus_sign: | | 6021 | [SDAC: A Multimodal Synthetic Dataset for Anomaly and Corner Case Detection in Autonomous Driving](https://ojs.aaai.org/index.php/AAAI/article/view/27961) | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://sdac-dataset.github.io/) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27961/27941) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/27961/27942) | | 2370 | [ContactGen: Contact-Guided Interactive 3D Human Generation for Partners](https://ojs.aaai.org/index.php/AAAI/article/view/27962) | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://dongjunku.github.io/contactgen/)
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[![arXiv](https://img.shields.io/badge/arXiv-2401.15820-b31b1b.svg)](https://arxiv.org/abs/2401.15820) | :heavy_minus_sign: | | 1676 | [Self-Supervised Representation Learning with Meta Comprehensive Regularization](https://ojs.aaai.org/index.php/AAAI/article/view/27966) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27966/27951)
[![arXiv](https://img.shields.io/badge/arXiv-2403.01549-b31b1b.svg)](https://arxiv.org/abs/2403.01549) | :heavy_minus_sign: | | 2452 | [Graph Context Transformation Learning for Progressive Correspondence Pruning](https://ojs.aaai.org/index.php/AAAI/article/view/27967) | [![GitHub](https://img.shields.io/github/stars/guobaoxiao/GCT-Net?style=flat)](https://github.com/guobaoxiao/GCT-Net) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27967/27953)
[![arXiv](https://img.shields.io/badge/arXiv-2312.15971-b31b1b.svg)](https://arxiv.org/abs/2312.15971) | :heavy_minus_sign: | | 4010 | [Depth-Guided Robust and Fast Point Cloud Fusion NeRF for Sparse Input Views](https://ojs.aaai.org/index.php/AAAI/article/view/27968) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27968/27955)
[![arXiv](https://img.shields.io/badge/arXiv-2403.02063-b31b1b.svg)](https://arxiv.org/abs/2403.02063) | :heavy_minus_sign: | | 2968 | [Improving Panoptic Narrative Grounding by Harnessing Semantic Relationships and Visual Confirmation](https://ojs.aaai.org/index.php/AAAI/article/view/27969) | [![GitHub](https://img.shields.io/github/stars/TianyuGoGO/XPNG?style=flat)](https://github.com/TianyuGoGO/XPNG) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27969/27957) | :heavy_minus_sign: | | 6791 | [Learning to Manipulate Artistic Images](https://ojs.aaai.org/index.php/AAAI/article/view/27970) | [![GitHub](https://img.shields.io/github/stars/SnailForce/SIM-Net?style=flat)](https://github.com/SnailForce/SIM-Net) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27970/27959)
[![arXiv](https://img.shields.io/badge/arXiv-2401.13976-b31b1b.svg)](https://arxiv.org/abs/2401.13976) | :heavy_minus_sign: | | 9517 | [PICNN: A Pathway towards Interpretable Convolutional Neural Networks](https://ojs.aaai.org/index.php/AAAI/article/view/27971) | [![GitHub](https://img.shields.io/github/stars/spdj2271/PICNN?style=flat)](https://github.com/spdj2271/PICNN) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27971/27960)
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[![arXiv](https://img.shields.io/badge/arXiv-2401.15987-b31b1b.svg)](https://arxiv.org/abs/2401.15987) | :heavy_minus_sign: | | 684 | [Progressive Feature Self-Reinforcement for Weakly Supervised Semantic Segmentation](https://ojs.aaai.org/index.php/AAAI/article/view/27980) | [![GitHub](https://img.shields.io/github/stars/Jessie459/feature-self-reinforcement?style=flat)](https://github.com/Jessie459/feature-self-reinforcement) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27980/27978)
[![arXiv](https://img.shields.io/badge/arXiv-2312.08916-b31b1b.svg)](https://arxiv.org/abs/2312.08916) | :heavy_minus_sign: | | 1105 | [Prompting Multi-Modal Image Segmentation with Semantic Grouping](https://ojs.aaai.org/index.php/AAAI/article/view/27981) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27981/27979) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/27981/27980) | | 938 | [Low-Latency Space-Time Supersampling for Real-Time Rendering](https://ojs.aaai.org/index.php/AAAI/article/view/27982) | [![GitHub](https://img.shields.io/github/stars/ryanhe312/STSSNet-AAAI2024?style=flat)](https://github.com/ryanhe312/STSSNet-AAAI2024) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27982/27981)
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[![arXiv](https://img.shields.io/badge/arXiv-2312.11024-b31b1b.svg)](https://arxiv.org/abs/2312.11024) | :heavy_minus_sign: | | 1498 | [Frequency-Adaptive Pan-Sharpening with Mixture of Experts](https://ojs.aaai.org/index.php/AAAI/article/view/27984) | [![GitHub](https://img.shields.io/github/stars/alexhe101/FAME-Net?style=flat)](https://github.com/alexhe101/FAME-Net) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27984/27985)
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[![arXiv](https://img.shields.io/badge/arXiv-2402.12760-b31b1b.svg)](https://arxiv.org/abs/2402.12760) | :heavy_minus_sign: | | 4182 | [Optimize and Reduce: A Top-Down Approach for Image Vectorization](https://ojs.aaai.org/index.php/AAAI/article/view/27987) | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://ajevnisek.github.io/optimize-and-reduce/)
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[![arXiv](https://img.shields.io/badge/arXiv-2401.11115-b31b1b.svg)](https://arxiv.org/abs/2401.11115) | :heavy_minus_sign: | | 7986 | [Commonsense for Zero-Shot Natural Language Video Localization](https://ojs.aaai.org/index.php/AAAI/article/view/27989) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27989/27995)
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[![arXiv](https://img.shields.io/badge/arXiv-2401.00268-b31b1b.svg)](https://arxiv.org/abs/2401.00268) | :heavy_minus_sign: | | 1448 | [Latent Space Editing in Transformer-based Flow Matching](https://ojs.aaai.org/index.php/AAAI/article/view/27998) | [![WEB Page](https://img.shields.io/badge/WEB-Page-159957.svg)](https://taohu.me/lfm/)
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[![arXiv](https://img.shields.io/badge/arXiv-2312.10825-b31b1b.svg)](https://arxiv.org/abs/2312.10825) | :heavy_minus_sign: | | 11111 | [BLIVA: A Simple Multimodal LLM for Better Handling of Text-Rich Visual Questions](https://ojs.aaai.org/index.php/AAAI/article/view/27999) | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://gordonhu608.github.io/bliva/)
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[![arXiv](https://img.shields.io/badge/arXiv-2312.06179-b31b1b.svg)](https://arxiv.org/abs/2312.06179) | :heavy_minus_sign: | | 146 | [NeuSurf: On-Surface Priors for Neural Surface Reconstruction from Sparse Input Views](https://ojs.aaai.org/index.php/AAAI/article/view/28005) | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://alvin528.github.io/NeuSurf/) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28005/28025)
[![arXiv](https://img.shields.io/badge/arXiv-2312.13977-b31b1b.svg)](https://arxiv.org/abs/2312.13977) | :heavy_minus_sign: | | 6026 | [Seeing Dark Videos via Self-Learned Bottleneck Neural Representation](https://ojs.aaai.org/index.php/AAAI/article/view/28006) | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://huangerbai.github.io/SLBNR/) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28006/28027) | :heavy_minus_sign: | | 2492 | [Combinatorial CNN-Transformer Learning with Manifold Constraints for Semi-Supervised Medical Image Segmentation](https://ojs.aaai.org/index.php/AAAI/article/view/28007) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28007/28029) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28007/28030) | | 7491 | [Sparse Bayesian Deep Learning for Cross Domain Medical Image Reconstruction](https://ojs.aaai.org/index.php/AAAI/article/view/28008) | [![GitHub](https://img.shields.io/github/stars/Habseligkeiten87/SBDL?style=flat)](https://github.com/Habseligkeiten87/SBDL) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28008/28031) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28008/28032) | | 118 | [UniCell: Universal Cell Nucleus Classification via Prompt Learning](https://ojs.aaai.org/index.php/AAAI/article/view/28009) | [![GitHub](https://img.shields.io/github/stars/lhaof/UniCell?style=flat)](https://github.com/lhaof/UniCell) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28009/28033)
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[![arXiv](https://img.shields.io/badge/arXiv-2212.04098-b31b1b.svg)](https://arxiv.org/abs/2212.04098) | :heavy_minus_sign: | | 10721 | [G2L-CariGAN: Caricature Generation from Global Structure to Local Features](https://ojs.aaai.org/index.php/AAAI/article/view/28014) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28014/28042) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28014/28043) | | 14085 | [3D Visibility-Aware Generalizable Neural Radiance Fields for Interacting Hands](https://ojs.aaai.org/index.php/AAAI/article/view/28015) | [![GitHub](https://img.shields.io/github/stars/XuanHuang0/VANeRF?style=flat)](https://github.com/XuanHuang0/VANeRF) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28015/28044)
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[![arXiv](https://img.shields.io/badge/arXiv-2304.02867-b31b1b.svg)](https://arxiv.org/abs/2304.02867) | :heavy_minus_sign: | | 12942 | [COMBAT: Alternated Training for Effective Clean-Label Backdoor Attacks](https://ojs.aaai.org/index.php/AAAI/article/view/28019) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28019/28052) | :heavy_minus_sign: | | 9256 | [MagiCapture: High-Resolution Multi-Concept Portrait Customization](https://ojs.aaai.org/index.php/AAAI/article/view/28020) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28020/28054)
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[![arXiv](https://img.shields.io/badge/arXiv-2308.10156-b31b1b.svg)](https://arxiv.org/abs/2308.10156) | :heavy_minus_sign: | | 6626 | [TiMix: Text-Aware Image Mixing for Effective Vision-Language Pre-training](https://ojs.aaai.org/index.php/AAAI/article/view/28025) | [![GitHub](https://img.shields.io/github/stars/chaoyajiang/TiMiX?style=flat)](https://github.com/chaoyajiang/TiMiX) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28025/28064)
[![arXiv](https://img.shields.io/badge/arXiv-2312.08846-b31b1b.svg)](https://arxiv.org/abs/2312.08846) | :heavy_minus_sign: | | 1615 | [Revealing the Proximate Long-Tail Distribution in Compositional Zero-Shot Learning](https://ojs.aaai.org/index.php/AAAI/article/view/28026) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28026/28065)
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[![arXiv](https://img.shields.io/badge/arXiv-2403.07578-b31b1b.svg)](https://arxiv.org/abs/2403.07578) | :heavy_minus_sign: | | 2746 | [Exploring Self- and Cross-Triplet Correlations for Human-Object Interaction Detection](https://ojs.aaai.org/index.php/AAAI/article/view/28031) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28031/28074)
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[![arXiv](https://img.shields.io/badge/arXiv-2312.12094-b31b1b.svg)](https://arxiv.org/abs/2312.12094) | :heavy_minus_sign: | | 5619 | [X4D-SceneFormer: Enhanced Scene Understanding on 4D Point Cloud Videos through Cross-Modal Knowledge Transfer](https://ojs.aaai.org/index.php/AAAI/article/view/28045) | [![GitHub](https://img.shields.io/github/stars/jinglinglingling/X4D?style=flat)](https://github.com/jinglinglingling/X4D) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28045/28100)
[![arXiv](https://img.shields.io/badge/arXiv-2312.07378-b31b1b.svg)](https://arxiv.org/abs/2312.07378) | :heavy_minus_sign: | | 6507 | [VVS: Video-to-Video Retrieval with Irrelevant Frame Suppression](https://ojs.aaai.org/index.php/AAAI/article/view/28046) | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://projectvvs2024.github.io/)
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[![arXiv](https://img.shields.io/badge/arXiv-2303.08906-b31b1b.svg)](https://arxiv.org/abs/2303.08906) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28046/28103) | | 13203 | [Rethinking Robustness of Model Attributions](https://ojs.aaai.org/index.php/AAAI/article/view/28047) | [![GitHub](https://img.shields.io/github/stars/ksandeshk/LENS?style=flat)](https://github.com/ksandeshk/LENS) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28047/28104)
[![arXiv](https://img.shields.io/badge/arXiv-2312.10534-b31b1b.svg)](https://arxiv.org/abs/2312.10534) | :heavy_minus_sign: | | 9576 | [Cross-Constrained Progressive Inference for 3D Hand Pose Estimation with Dynamic Observer-Decision-Adjuster Networks](https://ojs.aaai.org/index.php/AAAI/article/view/28048) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28048/28106) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28048/28107) | | 14158 | [Catch-Up Mix: Catch-Up Class for Struggling Filters in CNN](https://ojs.aaai.org/index.php/AAAI/article/view/28049) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28049/28108)
[![arXiv](https://img.shields.io/badge/arXiv-2401.13193-b31b1b.svg)](https://arxiv.org/abs/2401.13193) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28049/28109) | | 9440 | [VLCounter: Text-Aware Visual Representation for Zero-Shot Object Counting](https://ojs.aaai.org/index.php/AAAI/article/view/28050) | [![GitHub](https://img.shields.io/github/stars/Seunggu0305/VLCounter?style=flat)](https://github.com/Seunggu0305/VLCounter) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28050/28110)
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[![arXiv](https://img.shields.io/badge/arXiv-2312.12659-b31b1b.svg)](https://arxiv.org/abs/2312.12659) | :heavy_minus_sign: | | 7434 | [Weakly Supervised Semantic Segmentation for Driving Scenes](https://ojs.aaai.org/index.php/AAAI/article/view/28053) | [![GitHub](https://img.shields.io/github/stars/k0u-id/CARB?style=flat)](https://github.com/k0u-id/CARB) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28053/28116)
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[![arXiv](https://img.shields.io/badge/arXiv-2401.14919-b31b1b.svg)](https://arxiv.org/abs/2401.14919) | :heavy_minus_sign: | | 877 | [Distribution Matching for Multi-Task Learning of Classification Tasks: A Large-Scale Study on Faces and Beyond](https://ojs.aaai.org/index.php/AAAI/article/view/28061) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28061/28132)
[![arXiv](https://img.shields.io/badge/arXiv-2401.01219-b31b1b.svg)](https://arxiv.org/abs/2401.01219) | :heavy_minus_sign: | | 5322 | [Block Image Compressive Sensing with Local and Global Information Interaction](https://ojs.aaai.org/index.php/AAAI/article/view/28062) | [![GitHub](https://img.shields.io/github/stars/XYkong-CS/BRBCN?style=flat)](https://github.com/XYkong-CS/BRBCN) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28062/28133) | :heavy_minus_sign: | | 4475 | [QDETRv: Query-Guided DETR for One-Shot Object Localization in Videos](https://ojs.aaai.org/index.php/AAAI/article/view/28063) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28063/28134) | :heavy_minus_sign: | | 5492 | [LaViP: Language-Grounded Visual Prompting](https://ojs.aaai.org/index.php/AAAI/article/view/28064) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28064/28136)
[![arXiv](https://img.shields.io/badge/arXiv-2312.10945-b31b1b.svg)](https://arxiv.org/abs/2312.10945) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28064/28137) | | 10590 | [Towards more Faithful Natural Language Explanation using Multi-Level Contrastive Learning in VQA](https://ojs.aaai.org/index.php/AAAI/article/view/28065) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28065/28138)
[![arXiv](https://img.shields.io/badge/arXiv-2312.13594-b31b1b.svg)](https://arxiv.org/abs/2312.13594) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28065/28139) | | 2955 | [MatchDet: A Collaborative Framework for Image Matching and Object Detection](https://ojs.aaai.org/index.php/AAAI/article/view/28066) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28066/28140)
[![arXiv](https://img.shields.io/badge/arXiv-2312.10983-b31b1b.svg)](https://arxiv.org/abs/2312.10983) | :heavy_minus_sign: | | 6273 | [ViTree: Single-Path Neural Tree for Step-Wise Interpretable Fine-Grained Visual Categorization](https://ojs.aaai.org/index.php/AAAI/article/view/28067) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28067/28141)
[![arXiv](https://img.shields.io/badge/arXiv-2401.17050-b31b1b.svg)](https://arxiv.org/abs/2401.17050) | :heavy_minus_sign: | | 2855 | [MaskDiff: Modeling Mask Distribution with Diffusion Probabilistic Model for Few-Shot Instance Segmentation](https://ojs.aaai.org/index.php/AAAI/article/view/28068) | [![GitHub](https://img.shields.io/github/stars/minhquanlecs/MaskDiff?style=flat)](https://github.com/minhquanlecs/MaskDiff) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28068/28143)
[![arXiv](https://img.shields.io/badge/arXiv-2303.05105-b31b1b.svg)](https://arxiv.org/abs/2303.05105) | :heavy_minus_sign: | | 6250 | [FRED: Towards a Full Rotation-Equivariance in Aerial Image Object Detection](https://ojs.aaai.org/index.php/AAAI/article/view/28069) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28069/28144)
[![arXiv](https://img.shields.io/badge/arXiv-2401.06159-b31b1b.svg)](https://arxiv.org/abs/2401.06159) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28069/28145) | | 7319 | [Domain Generalization with Vital Phase Augmentation](https://ojs.aaai.org/index.php/AAAI/article/view/28070) | [![GitHub](https://img.shields.io/github/stars/excitedkid/vipaug?style=flat)](https://github.com/excitedkid/vipaug) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28070/28146)
[![arXiv](https://img.shields.io/badge/arXiv-2312.16451-b31b1b.svg)](https://arxiv.org/abs/2312.16451) | :heavy_minus_sign: | | 12192 | [Modeling Stereo-Confidence out of the End-to-End Stereo-Matching Network via Disparity Plane Sweep](https://ojs.aaai.org/index.php/AAAI/article/view/28071) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28071/28148)
[![arXiv](https://img.shields.io/badge/arXiv-2401.12001-b31b1b.svg)](https://arxiv.org/abs/2401.12001) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28071/28149) | | 13859 | [MFOS: Model-Free and One-Shot Object Pose Estimation](https://ojs.aaai.org/index.php/AAAI/article/view/28072) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28072/28150)
[![arXiv](https://img.shields.io/badge/arXiv-2310.01897-b31b1b.svg)](https://arxiv.org/abs/2310.01897) | :heavy_minus_sign: | | 3325 | [Noise-Free Optimization in Early Training Steps for Image Super-Resolution](https://ojs.aaai.org/index.php/AAAI/article/view/28073) | [![GitHub](https://img.shields.io/github/stars/2minkyulee/ECO?style=flat)](https://github.com/2minkyulee/ECO) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28073/28152)
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[![arXiv](https://img.shields.io/badge/arXiv-2304.10520-b31b1b.svg)](https://arxiv.org/abs/2304.10520) | :heavy_minus_sign: | | 1991 | [Few-Shot Learning from Augmented Label-Uncertain Queries in Bongard-HOI](https://ojs.aaai.org/index.php/AAAI/article/view/28079) | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://chelsielei.github.io/LUQ/)
[![GitHub](https://img.shields.io/github/stars/ChelsieLei/LUQ?style=flat)](https://github.com/ChelsieLei/LUQ) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28079/28164)
[![arXiv](https://img.shields.io/badge/arXiv-2312.10586-b31b1b.svg)](https://arxiv.org/abs/2312.10586) | :heavy_minus_sign: | | 6905 | [Removing Interference and Recovering Content Imaginatively for Visible Watermark Removal](https://ojs.aaai.org/index.php/AAAI/article/view/28080) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28080/28166)
[![arXiv](https://img.shields.io/badge/arXiv-2312.14383-b31b1b.svg)](https://arxiv.org/abs/2312.14383) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28080/28167) | | 4351 | [Data Roaming and Quality Assessment for Composed Image Retrieval](https://ojs.aaai.org/index.php/AAAI/article/view/28081) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28081/28168)
[![arXiv](https://img.shields.io/badge/arXiv-2303.09429-b31b1b.svg)](https://arxiv.org/abs/2303.09429) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28081/28169) | | 605 | [Point Transformer with Federated Learning for Predicting Breast Cancer HER2 Status from Hematoxylin and Eosin-Stained Whole Slide Images](https://ojs.aaai.org/index.php/AAAI/article/view/28082) | [![GitHub](https://img.shields.io/github/stars/boyden/PointTransformerFL?style=flat)](https://github.com/boyden/PointTransformerFL) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28082/28170)
[![arXiv](https://img.shields.io/badge/arXiv-2312.06454-b31b1b.svg)](https://arxiv.org/abs/2312.06454) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28082/28171) | | 11068 | [Unsupervised Cross-Domain Image Retrieval via Prototypical Optimal Transport](https://ojs.aaai.org/index.php/AAAI/article/view/28083) | [![GitHub](https://img.shields.io/github/stars/HCVLAB/ProtoOT?style=flat)](https://github.com/HCVLAB/ProtoOT) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28083/28172)
[![arXiv](https://img.shields.io/badge/arXiv-2402.18411-b31b1b.svg)](https://arxiv.org/abs/2402.18411) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28083/28173) | | 4364 | [Semantic-Guided Generative Image Augmentation Method with Diffusion Models for Image Classification](https://ojs.aaai.org/index.php/AAAI/article/view/28084) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28084/28174)
[![arXiv](https://img.shields.io/badge/arXiv-2302.02070-b31b1b.svg)](https://arxiv.org/abs/2302.02070) | :heavy_minus_sign: | | 13964 | [One at a Time: Progressive Multi-Step Volumetric Probability Learning for Reliable 3D Scene Perception](https://ojs.aaai.org/index.php/AAAI/article/view/28085) | [![GitHub](https://img.shields.io/github/stars/Arlo0o/VPD?style=flat)](https://github.com/Arlo0o/VPD) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28085/28176)
[![arXiv](https://img.shields.io/badge/arXiv-2306.12681-b31b1b.svg)](https://arxiv.org/abs/2306.12681) | :heavy_minus_sign: | | 355 | [AE-NeRF: Audio Enhanced Neural Radiance Field for Few Shot Talking Head Synthesis](https://ojs.aaai.org/index.php/AAAI/article/view/28086) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28086/28178)
[![arXiv](https://img.shields.io/badge/arXiv-2312.10921-b31b1b.svg)](https://arxiv.org/abs/2312.10921) | :heavy_minus_sign: | | 7115 | [Monocular 3D Hand Mesh Recovery via Dual Noise Estimation](https://ojs.aaai.org/index.php/AAAI/article/view/28087) | [![GitHub](https://img.shields.io/github/stars/hanhuili/DNE4Hand?style=flat)](https://github.com/hanhuili/DNE4Hand) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28087/28180)
[![arXiv](https://img.shields.io/badge/arXiv-2312.15916-b31b1b.svg)](https://arxiv.org/abs/2312.15916) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28087/28181) | | 10117 | [Point2Real: Bridging the Gap between Point Cloud and Realistic Image for Open-World 3D Recognition](https://ojs.aaai.org/index.php/AAAI/article/view/28088) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28088/28182) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28088/28183) | | 1067 | [Gradual Residuals Alignment: A Dual-Stream Framework for GAN Inversion and Image Attribute Editing](https://ojs.aaai.org/index.php/AAAI/article/view/28089) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28089/28184)
[![arXiv](https://img.shields.io/badge/arXiv-2402.14398-b31b1b.svg)](https://arxiv.org/abs/2402.14398) | :heavy_minus_sign: | | 5046 | [Towards Automated Chinese Ancient Character Restoration: A Diffusion-based Method with a New Dataset](https://ojs.aaai.org/index.php/AAAI/article/view/28090) | [![GitHub](https://img.shields.io/github/stars/lhl322001/DiffACR?style=flat)](https://github.com/lhl322001/DiffACR) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28090/28186) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28090/28187) | | 2672 | [Learning Deformable Hypothesis Sampling for Accurate PatchMatch Multi-View Stereo](https://ojs.aaai.org/index.php/AAAI/article/view/28091) | [![GitHub](https://img.shields.io/github/stars/Geo-Tell/DS-PMNet?style=flat)](https://github.com/Geo-Tell/DS-PMNet) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28091/28188)
[![arXiv](https://img.shields.io/badge/arXiv-2312.15970-b31b1b.svg)](https://arxiv.org/abs/2312.15970) | :heavy_minus_sign: | | 1990 | [Catalyst for Clustering-based Unsupervised Object Re-Identification: Feature Calibration](https://ojs.aaai.org/index.php/AAAI/article/view/28092) | [![GitHub](https://img.shields.io/github/stars/lhf12278/FCM-ReID?style=flat)](https://github.com/lhf12278/FCM-ReID) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28092/28190) | :heavy_minus_sign: | | 2084 | [EAN: An Efficient Attention Module Guided by Normalization for Deep Neural Networks](https://ojs.aaai.org/index.php/AAAI/article/view/28093) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28093/28191) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28093/28192) | | 1287 | [Label-Efficient Few-Shot Semantic Segmentation with Unsupervised Meta-Training](https://ojs.aaai.org/index.php/AAAI/article/view/28094) | [![GitHub](https://img.shields.io/github/stars/SSSKYue/UMTFSS?style=flat)](https://github.com/SSSKYue/UMTFSS) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28094/28193) | :heavy_minus_sign: | | 799 | [FedDiv: Collaborative Noise Filtering for Federated Learning with Noisy Labels](https://ojs.aaai.org/index.php/AAAI/article/view/28095) | [![GitHub](https://img.shields.io/github/stars/lijichang/FLNL-FedDiv?style=flat)](https://github.com/lijichang/FLNL-FedDiv) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28095/28195)
[![arXiv](https://img.shields.io/badge/arXiv-2312.12263-b31b1b.svg)](https://arxiv.org/abs/2312.12263) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28095/28196) | | 1395 | [Fully Data-Driven Pseudo Label Estimation for Pointly-Supervised Panoptic Segmentation](https://ojs.aaai.org/index.php/AAAI/article/view/28096) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28096/28197) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28096/28198) | | 1533 | [FAVOR: Full-Body AR-Driven Virtual Object Rearrangement Guided by Instruction Text](https://ojs.aaai.org/index.php/AAAI/article/view/28097) | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://kailinli.github.io/FAVOR/) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28097/28199) | :heavy_minus_sign: | | 464 | [Panoptic Scene Graph Generation with Semantics-Prototype Learning](https://ojs.aaai.org/index.php/AAAI/article/view/28098) | [![GitHub](https://img.shields.io/github/stars/lili0415/PSG-biased-annotation?style=flat)](https://github.com/lili0415/PSG-biased-annotation) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28098/28201)
[![arXiv](https://img.shields.io/badge/arXiv-2307.15567-b31b1b.svg)](https://arxiv.org/abs/2307.15567) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28098/28202) | | 4227 | [SpectralNeRF: Physically based Spectral Rendering with Neural Radiance Field](https://ojs.aaai.org/index.php/AAAI/article/view/28099) | [![GitHub](https://img.shields.io/github/stars/liru0126/SpectralNeRF?style=flat)](https://github.com/liru0126/SpectralNeRF) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28099/28203)
[![arXiv](https://img.shields.io/badge/arXiv-2312.08692-b31b1b.svg)](https://arxiv.org/abs/2312.08692) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28099/28204) | | 12752 | [GridFormer: Point-Grid Transformer for Surface Reconstruction](https://ojs.aaai.org/index.php/AAAI/article/view/28100) | [![GitHub](https://img.shields.io/github/stars/list17/GridFormer?style=flat)](https://github.com/list17/GridFormer) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28100/28205)
[![arXiv](https://img.shields.io/badge/arXiv-2401.02292-b31b1b.svg)](https://arxiv.org/abs/2401.02292) | :heavy_minus_sign: | | 9551 | [Adaptive Uncertainty-based Learning for Text-based Person Retrieval](https://ojs.aaai.org/index.php/AAAI/article/view/28101) | [![GitHub](https://img.shields.io/github/stars/CFM-MSG/Code-AUL?style=flat)](https://github.com/CFM-MSG/Code-AUL) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28101/28207) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28101/28208) | | 896 | [Learning Continuous Implicit Field with Local Distance Indicator for Arbitrary-Scale Point Cloud Upsampling](https://ojs.aaai.org/index.php/AAAI/article/view/28102) | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://lisj575.github.io/APU-LDI/)
[![GitHub](https://img.shields.io/github/stars/lisj575/APU-LDI?style=flat)](https://github.com/lisj575/APU-LDI) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28102/28209)
[![arXiv](https://img.shields.io/badge/arXiv-2312.15133-b31b1b.svg)](https://arxiv.org/abs/2312.15133) | :heavy_minus_sign: | | 1763 | [Long-Tailed Learning as Multi-Objective Optimization](https://ojs.aaai.org/index.php/AAAI/article/view/28103) | [![GitHub](https://img.shields.io/github/stars/WickyLee1998/GBG_v1?style=flat)](https://github.com/WickyLee1998/GBG_v1) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28103/28211)
[![arXiv](https://img.shields.io/badge/arXiv-2310.20490-b31b1b.svg)](https://arxiv.org/abs/2310.20490) | :heavy_minus_sign: | | 11817 | [Temporal-Distributed Backdoor Attack against Video based Action Recognition](https://ojs.aaai.org/index.php/AAAI/article/view/28104) | [![GitHub](https://img.shields.io/github/stars/lixi1994/Temporal-Distributed-Backdoor-Attack-Against-Video-Based-Action-Recognition?style=flat)](https://github.com/lixi1994/Temporal-Distributed-Backdoor-Attack-Against-Video-Based-Action-Recognition) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28104/28213)
[![arXiv](https://img.shields.io/badge/arXiv-2308.11070-b31b1b.svg)](https://arxiv.org/abs/2308.11070) | :heavy_minus_sign: | | 714 | [DI-V2X: Learning Domain-Invariant Representation for Vehicle-Infrastructure Collaborative 3D Object Detection](https://ojs.aaai.org/index.php/AAAI/article/view/28105) | [![GitHub](https://img.shields.io/github/stars/Serenos/DI-V2X?style=flat)](https://github.com/Serenos/DI-V2X) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28105/28215)
[![arXiv](https://img.shields.io/badge/arXiv-2312.15742-b31b1b.svg)](https://arxiv.org/abs/2312.15742) | :heavy_minus_sign: | | 10690 | [Multi-Modality Affinity Inference for Weakly Supervised 3D Semantic Segmentation](https://ojs.aaai.org/index.php/AAAI/article/view/28106) | [![GitHub](https://img.shields.io/github/stars/Sunny599/AAAI24-3DWSSS-MMA?style=flat)](https://github.com/Sunny599/AAAI24-3DWSSS-MMA) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28106/28216)
[![arXiv](https://img.shields.io/badge/arXiv-2312.16578-b31b1b.svg)](https://arxiv.org/abs/2312.16578) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28106/28217) | | 3737 | [IINet: Implicit Intra-Inter Information Fusion for Real-Time Stereo Matching](https://ojs.aaai.org/index.php/AAAI/article/view/28107) | [![GitHub](https://img.shields.io/github/stars/blindwatch/IINet?style=flat)](https://github.com/blindwatch/IINet) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28107/28218) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28107/28219) | | 154 | [Causal Representation Learning via Counterfactual Intervention](https://ojs.aaai.org/index.php/AAAI/article/view/28108) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28108/28220) | :heavy_minus_sign: | | 7415 | [Bi-ViT: Pushing the Limit of Vision Transformer Quantization](https://ojs.aaai.org/index.php/AAAI/article/view/28109) | [![GitHub](https://img.shields.io/github/stars/YanjingLi0202/Bi-ViT?style=flat)](https://github.com/YanjingLi0202/Bi-ViT) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28109/28222)
[![arXiv](https://img.shields.io/badge/arXiv-2305.12354-b31b1b.svg)](https://arxiv.org/abs/2305.12354) | :heavy_minus_sign: | | 1608 | [Harnessing Edge Information for Improved Robustness in Vision Transformers](https://ojs.aaai.org/index.php/AAAI/article/view/28110) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28110/28224) | :heavy_minus_sign: | | 1286 | [Multi-Region Text-Driven Manipulation of Diffusion Imagery](https://ojs.aaai.org/index.php/AAAI/article/view/28111) | [![GitHub](https://img.shields.io/github/stars/liyiming09/multi-region-guided-diffusion?style=flat)](https://github.com/liyiming09/multi-region-guided-diffusion) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28111/28226) | :heavy_minus_sign: | | 3868 | [Direct May Not Be the Best: An Incremental Evolution View of Pose Generation](https://ojs.aaai.org/index.php/AAAI/article/view/28112) | [![GitHub](https://img.shields.io/github/stars/Xiaofei-CN/Incremental-Evolution-Pose-Generation?style=flat)](https://github.com/Xiaofei-CN/Incremental-Evolution-Pose-Generation) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28112/28228)
[![arXiv](https://img.shields.io/badge/arXiv-2404.08419-b31b1b.svg)](https://arxiv.org/abs/2404.08419) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28112/28229) | | 1155 | [FocalDreamer: Text-Driven 3D Editing via Focal-Fusion Assembly](https://ojs.aaai.org/index.php/AAAI/article/view/28113) | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://focaldreamer.github.io/)
[![GitHub](https://img.shields.io/github/stars/colorful-liyu/focaldreamer?style=flat)](https://github.com/colorful-liyu/focaldreamer) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28113/28230)
[![arXiv](https://img.shields.io/badge/arXiv-2308.10608-b31b1b.svg)](https://arxiv.org/abs/2308.10608) | :heavy_minus_sign: | | 5758 | [SAVSR: Arbitrary-Scale Video Super-Resolution via a Learned Scale-Adaptive Network](https://ojs.aaai.org/index.php/AAAI/article/view/28114) | [![GitHub](https://img.shields.io/github/stars/Weepingchestnut/SAVSR?style=flat)](https://github.com/Weepingchestnut/SAVSR) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28114/28232) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28114/28233) | | 8574 | [Sampling-Resilient Multi-Object Tracking](https://ojs.aaai.org/index.php/AAAI/article/view/28115) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28115/28234) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28115/28235) | | 1785 | [Object-Aware Adaptive-Positivity Learning for Audio-Visual Question Answering](https://ojs.aaai.org/index.php/AAAI/article/view/28116) | [![GitHub](https://img.shields.io/github/stars/zhangbin-ai/APL?style=flat)](https://github.com/zhangbin-ai/APL) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28116/28236)
[![arXiv](https://img.shields.io/badge/arXiv-2312.12816-b31b1b.svg)](https://arxiv.org/abs/2312.12816) | :heavy_minus_sign: | | 1198 | [Hypercorrelation Evolution for Video Class-Incremental Learning](https://ojs.aaai.org/index.php/AAAI/article/view/28117) | [![GitHub](https://img.shields.io/github/stars/Lsen991031/HCE?style=flat)](https://github.com/Lsen991031/HCE) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28117/28238) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28117/28239) | | 1881 | [CoSTA: End-to-End Comprehensive Space-Time Entanglement for Spatio-Temporal Video Grounding](https://ojs.aaai.org/index.php/AAAI/article/view/28118) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28118/28240) | :heavy_minus_sign: | | 8126 | [Any-Stereo: Arbitrary Scale Disparity Estimation for Iterative Stereo Matching](https://ojs.aaai.org/index.php/AAAI/article/view/28119) | [![GitHub](https://img.shields.io/github/stars/Zhaohuai-L/Any-Stereo?style=flat)](https://github.com/Zhaohuai-L/Any-Stereo) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28119/28242) | :heavy_minus_sign: | | 6436 | [Impartial Adversarial Distillation: Addressing Biased Data-Free Knowledge Distillation via Adaptive Constrained Optimization](https://ojs.aaai.org/index.php/AAAI/article/view/28120) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28120/28244) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28120/28245) | | 10450 | [VLM2Scene: Self-Supervised Image-Text-LiDAR Learning with Foundation Models for Autonomous Driving Scene Understanding](https://ojs.aaai.org/index.php/AAAI/article/view/28121) | [![GitHub](https://img.shields.io/github/stars/gbliao/VLM2Scene?style=flat)](https://github.com/gbliao/VLM2Scene) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28121/28246) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28121/28247) | | 5213 | [Text-to-Image Generation for Abstract Concepts](https://ojs.aaai.org/index.php/AAAI/article/view/28122) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28122/28248)
[![arXiv](https://img.shields.io/badge/arXiv-2309.14623-b31b1b.svg)](https://arxiv.org/abs/2309.14623) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28122/28249) | | 5928 | [VSFormer: Visual-Spatial Fusion Transformer for Correspondence Pruning](https://ojs.aaai.org/index.php/AAAI/article/view/28123) | [![GitHub](https://img.shields.io/github/stars/sugar-fly/VSFormer?style=flat)](https://github.com/sugar-fly/VSFormer) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28123/28250)
[![arXiv](https://img.shields.io/badge/arXiv-2312.08774-b31b1b.svg)](https://arxiv.org/abs/2312.08774) | :heavy_minus_sign: | | 7126 | [NightRain: Nighttime Video Deraining via Adaptive-Rain-Removal and Adaptive-Correction](https://ojs.aaai.org/index.php/AAAI/article/view/28124) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28124/28252)
[![arXiv](https://img.shields.io/badge/arXiv-2401.00729-b31b1b.svg)](https://arxiv.org/abs/2401.00729) | :heavy_minus_sign: | | 1476 | [Unsupervised Pan-Sharpening via Mutually Guided Detail Restoration](https://ojs.aaai.org/index.php/AAAI/article/view/28125) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28125/28253) | :heavy_minus_sign: | | 1567 | [Gramformer: Learning Crowd Counting via Graph-Modulated Transformer](https://ojs.aaai.org/index.php/AAAI/article/view/28126) | [![GitHub](https://img.shields.io/github/stars/LoraLinH/Gramformer?style=flat)](https://github.com/LoraLinH/Gramformer) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28126/28255)
[![arXiv](https://img.shields.io/badge/arXiv-2401.03870-b31b1b.svg)](https://arxiv.org/abs/2401.03870) | :heavy_minus_sign: | | 622 | [Weakly Supervised Open-Vocabulary Object Detection](https://ojs.aaai.org/index.php/AAAI/article/view/28127) | [![GitHub](https://img.shields.io/github/stars/HunterJ-Lin/WSOVOD?style=flat)](https://github.com/HunterJ-Lin/WSOVOD) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28127/28257)
[![arXiv](https://img.shields.io/badge/arXiv-2312.12437-b31b1b.svg)](https://arxiv.org/abs/2312.12437) | :heavy_minus_sign: | | 1668 | [Spot the Error: Non-Autoregressive Graphic Layout Generation with Wireframe Locator](https://ojs.aaai.org/index.php/AAAI/article/view/28128) | [![GitHub](https://img.shields.io/github/stars/ffffatgoose/SpotError?style=flat)](https://github.com/ffffatgoose/SpotError) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28128/28259)
[![arXiv](https://img.shields.io/badge/arXiv-2401.16375-b31b1b.svg)](https://arxiv.org/abs/2401.16375) | :heavy_minus_sign: | | 9901 | [M2SD: Multiple Mixing Self-Distillation for Few-Shot Class-Incremental Learning](https://ojs.aaai.org/index.php/AAAI/article/view/28129) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28129/28261) | :heavy_minus_sign: | | 5869 | [EDA: Evolving and Distinct Anchors for Multimodal Motion Prediction](https://ojs.aaai.org/index.php/AAAI/article/view/28130) | [![GitHub](https://img.shields.io/github/stars/Longzhong-Lin/EDA?style=flat)](https://github.com/Longzhong-Lin/EDA) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28130/28263)
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[![arXiv](https://img.shields.io/badge/arXiv-2402.03951-b31b1b.svg)](https://arxiv.org/abs/2402.03951) | :heavy_minus_sign: | | 4595 | [A Fixed-Point Approach to Unified Prompt-based Counting](https://ojs.aaai.org/index.php/AAAI/article/view/28134) | [![GitHub](https://img.shields.io/github/stars/Elin24/fixedpoint_prompt_counting?style=flat)](https://github.com/Elin24/fixedpoint_prompt_counting) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28134/28271)
[![arXiv](https://img.shields.io/badge/arXiv-2403.10236-b31b1b.svg)](https://arxiv.org/abs/2403.10236) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28134/28272) | | 7783 | [Boosting Multiple Instance Learning Models for whole Slide Image Classification: A Model-Agnostic Framework based on Counterfactual Inference](https://ojs.aaai.org/index.php/AAAI/article/view/28135) | [![GitHub](https://img.shields.io/github/stars/centurion-crawler/CIMIL?style=flat)](https://github.com/centurion-crawler/CIMIL) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28135/28273) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28135/28274) | | 4848 | [Relightable and Animatable Neural Avatars from Videos](https://ojs.aaai.org/index.php/AAAI/article/view/28136) | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://wenbin-lin.github.io/RelightableAvatar-page/)
[![GitHub](https://img.shields.io/github/stars/wenbin-lin/RelightableAvatar?style=flat)](https://github.com/wenbin-lin/RelightableAvatar) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28136/28275)
[![arXiv](https://img.shields.io/badge/arXiv-2312.12877-b31b1b.svg)](https://arxiv.org/abs/2312.12877) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28136/28276) | | 2205 | [TD2-Net: Toward Denoising and Debiasing for Video Scene Graph Generation](https://ojs.aaai.org/index.php/AAAI/article/view/28137) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28137/28277)
[![arXiv](https://img.shields.io/badge/arXiv-2401.12479-b31b1b.svg)](https://arxiv.org/abs/2401.12479) | :heavy_minus_sign: | | 8952 | [Ced-NeRF: A Compact and Efficient Method for Dynamic Neural Radiance Fields](https://ojs.aaai.org/index.php/AAAI/article/view/28138) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28138/28279) | :heavy_minus_sign: | | 1994 | [TagCLIP: A Local-to-Global Framework to Enhance Open-Vocabulary Multi-Label Classification of CLIP without Training](https://ojs.aaai.org/index.php/AAAI/article/view/28139) | [![GitHub](https://img.shields.io/github/stars/linyq2117/TagCLIP?style=flat)](https://github.com/linyq2117/TagCLIP) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28139/28281)
[![arXiv](https://img.shields.io/badge/arXiv-2312.12828-b31b1b.svg)](https://arxiv.org/abs/2312.12828) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28139/28282) | | 7232 | [Independency Adversarial Learning for Cross-Modal Sound Separation](https://ojs.aaai.org/index.php/AAAI/article/view/28140) | [![GitHub](https://img.shields.io/github/stars/ZhenkaiLin/IAL-CMS?style=flat)](https://github.com/ZhenkaiLin/IAL-CMS) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28140/28283) | :heavy_minus_sign: | | 747 | [BEV-MAE: Bird's Eye View Masked Autoencoders for Point Cloud Pre-Training in Autonomous Driving Scenarios](https://ojs.aaai.org/index.php/AAAI/article/view/28141) | [![GitHub](https://img.shields.io/github/stars/VDIGPKU/BEV-MAE?style=flat)](https://github.com/VDIGPKU/BEV-MAE) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28141/28284)
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[![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28609/29184) | | | [Finding Visual Saliency in Continuous Spike Stream](https://ojs.aaai.org/index.php/AAAI/article/view/28610) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28610/29185) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28610/29186) | | | [SEER: Backdoor Detection for Vision-Language Models through Searching Target Text and Image Trigger Jointly](https://ojs.aaai.org/index.php/AAAI/article/view/28611) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28611/29187) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28611/29188) | | | [Text Image Inpainting via Global Structure-Guided Diffusion Models](https://ojs.aaai.org/index.php/AAAI/article/view/28612) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28612/29189) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28612/29190) | | | [Rethinking Mesh Watermark: Towards Highly Robust and Adaptable Deep 3D Mesh Watermarking](https://ojs.aaai.org/index.php/AAAI/article/view/28613) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28613/29191) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28613/29192) | | | [Boosting Few-Shot Learning via Attentive Feature Regularization](https://ojs.aaai.org/index.php/AAAI/article/view/28614) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28614/29193) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28614/29194) | | | [Memory-Efficient Prompt Tuning for Incremental Histopathology Classification](https://ojs.aaai.org/index.php/AAAI/article/view/28615) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28615/29195) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28615/29196) | | | [SPGroup3D: Superpoint Grouping Network for Indoor 3D Object Detection](https://ojs.aaai.org/index.php/AAAI/article/view/28616) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28616/29197) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28616/29198) | | | [SEIT: Structural Enhancement for Unsupervised Image Translation in Frequency Domain](https://ojs.aaai.org/index.php/AAAI/article/view/28617) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28617/29199) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28617/29200) | | | [A Pre-convolved Representation for Plug-and-Play Neural Illumination Fields](https://ojs.aaai.org/index.php/AAAI/article/view/28618) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28618/29201) | | | | [IPRemover: A Generative Model Inversion Attack against Deep Neural Network Fingerprinting and Watermarking](https://ojs.aaai.org/index.php/AAAI/article/view/28619) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28619/29202) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28619/29203) | | | [DiffBEV: Conditional Diffusion Model for Bird’s Eye View Perception](https://ojs.aaai.org/index.php/AAAI/article/view/28620) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28620/29204) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28620/29205) | | | [Cross-Covariate Gait Recognition: A Benchmark](https://ojs.aaai.org/index.php/AAAI/article/view/28621) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28621/29206) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28621/29207) | | | [Towards Efficient Diffusion-Based Image Editing with Instant Attention Masks](https://ojs.aaai.org/index.php/AAAI/article/view/28622) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28622/29208) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28622/29209) | | | [VQCNIR: Clearer Night Image Restoration with Vector-Quantized Codebook](https://ojs.aaai.org/index.php/AAAI/article/view/28623) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28623/29210) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28623/29211) | | | [Enhancing Neural Radiance Fields with Adaptive Multi-Exposure Fusion: A Bilevel Optimization Approach for Novel View Synthesis](https://ojs.aaai.org/index.php/AAAI/article/view/28624) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28624/29212) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28624/29213) | | | [Improved MLP Point Cloud Processing with High-Dimensional Positional Encoding](https://ojs.aaai.org/index.php/AAAI/article/view/28625) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28625/29214) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28625/29215) | | | [Sparse3D: Distilling Multiview-Consistent Diffusion for Object Reconstruction from Sparse Views](https://ojs.aaai.org/index.php/AAAI/article/view/28626) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28626/29216) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28626/29217) | | | [CEDFlow: Latent Contour Enhancement for Dark Optical Flow Estimation](https://ojs.aaai.org/index.php/AAAI/article/view/28627) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28627/29218) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28627/29219) | ================================================ FILE: sections/2024/main/constraint_satisfaction_and_optimization.md ================================================ # AAAI-2024-Papers
Application App
## Constraint Satisfaction and Optimization ![Section Papers](https://img.shields.io/badge/Section%20Papers-35-42BA16) ![Preprint Papers](https://img.shields.io/badge/Preprint%20Papers-19-b31b1b) ![Papers with Open Code](https://img.shields.io/badge/Papers%20with%20Open%20Code-12-1D7FBF) ![Papers with Video](https://img.shields.io/badge/Papers%20with%20Video-23-FF0000) | :id: | **Title** | **Repo** | **Paper** | **Video** | |------|-----------|:--------:|:---------:|:---------:| | 2813 | [Parameterization of (Partial) Maximum Satisfiability above Matching in a Variable-Clause Graph](https://ojs.aaai.org/index.php/AAAI/article/view/28628) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28628/29220) | :heavy_minus_sign: | | 14215 | [Approximation Scheme for Weighted Metric Clustering via Sherali-Adams](https://ojs.aaai.org/index.php/AAAI/article/view/28629) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28629/29221) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28629/29222) | | 7293 | [Neural Time-Reversed Generalized Riccati Equation](https://ojs.aaai.org/index.php/AAAI/article/view/28630) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28630/29223)
[![arXiv](https://img.shields.io/badge/arXiv-2312.09310-b31b1b.svg)](https://arxiv.org/abs/2312.09310) | :heavy_minus_sign: | | 3140 | [Runtime vs. Extracted Proof Size: An Exponential Gap for CDCL on QBFs](https://ojs.aaai.org/index.php/AAAI/article/view/28631) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28631/29225) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28631/29226) | | 8072 | [Testing Self-Reducible Samplers](https://ojs.aaai.org/index.php/AAAI/article/view/28632) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28632/29227)
[![arXiv](https://img.shields.io/badge/arXiv-2312.10999-b31b1b.svg)](https://arxiv.org/abs/2312.10999) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28632/29228) | | 3887 | [Using Symmetries to Lift Satisfiability Checking](https://ojs.aaai.org/index.php/AAAI/article/view/28633) | [![GitLab](https://img.shields.io/gitlab/stars/pierre.carbonnelle/idp-z3-generative?style=flat)](https://gitlab.com/pierre.carbonnelle/idp-z3-generative) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28633/29229)
[![arXiv](https://img.shields.io/badge/arXiv-2311.03424-b31b1b.svg)](https://arxiv.org/abs/2311.03424) | :heavy_minus_sign: | | 12641 | [Robust Beamforming for Downlink Multi-Cell Systems: A Bilevel Optimization Perspective](https://ojs.aaai.org/index.php/AAAI/article/view/28634) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28634/29231)
[![arXiv](https://img.shields.io/badge/arXiv-2401.11409-b31b1b.svg)](https://arxiv.org/abs/2401.11409) | :heavy_minus_sign: | | 7571 | [Hardness of Random Reordered Encodings of Parity for Resolution and CDCL](https://ojs.aaai.org/index.php/AAAI/article/view/28635) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28635/29233)
[![arXiv](https://img.shields.io/badge/arXiv-2402.00542-b31b1b.svg)](https://arxiv.org/abs/2402.00542) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28635/29234) | | 6925 | [Percentile Risk-Constrained Budget Pacing for Guaranteed Display Advertising in Online Optimization](https://ojs.aaai.org/index.php/AAAI/article/view/28636) | [![GitHub](https://img.shields.io/github/stars/danifree/RCPacing?style=flat)](https://github.com/danifree/RCPacing) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28636/29235)
[![arXiv](https://img.shields.io/badge/arXiv-2312.06174-b31b1b.svg)](https://arxiv.org/abs/2312.06174) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28636/29236) | | 11006 | [Unifying Decision and Function Queries in Stochastic Boolean Satisfiability](https://ojs.aaai.org/index.php/AAAI/article/view/28637) | [![GitHub](https://img.shields.io/github/stars/NTU-ALComLab/ClauSSat-Theta?style=flat)](https://github.com/NTU-ALComLab/ClauSSat-Theta) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28637/29237) | :heavy_minus_sign: | | 3284 | [Parallel Empirical Evaluations: Resilience despite Concurrency](https://ojs.aaai.org/index.php/AAAI/article/view/28638) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28638/29239) | :heavy_minus_sign: | | 13176 | [Locally Rainbow Paths](https://ojs.aaai.org/index.php/AAAI/article/view/28639) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28639/29241)
[![arXiv](https://img.shields.io/badge/arXiv-2402.12905-b31b1b.svg)](https://arxiv.org/abs/2402.12905) | :heavy_minus_sign: | | 6903 | [Approximate Integer Solution Counts over Linear Arithmetic Constraints](https://ojs.aaai.org/index.php/AAAI/article/view/28640) | [![GitHub](https://img.shields.io/github/stars/bearben/ALC?style=flat)](https://github.com/bearben/ALC) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28640/29242)
[![arXiv](https://img.shields.io/badge/arXiv-2312.08776-b31b1b.svg)](https://arxiv.org/abs/2312.08776) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28640/29243) | | 5483 | [Composing Biases by using CP to Decompose Minimal Functional Dependencies for Acquiring Complex Formulae](https://ojs.aaai.org/index.php/AAAI/article/view/28641) | [![GitHub](https://img.shields.io/github/stars/cquimper/MapSeekerAAAI24?style=flat)](https://github.com/cquimper/MapSeekerAAAI24) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28641/29244) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28641/29245) | | 5295 | [End-to-End Verification for Subgraph Solving](https://ojs.aaai.org/index.php/AAAI/article/view/28642) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28642/29246) | :heavy_minus_sign: | | 11029 | [SAT-based Techniques for Lexicographically Smallest Finite Models](https://ojs.aaai.org/index.php/AAAI/article/view/28643) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28643/29248) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28643/29249) | | 1426 | [Theoretical and Empirical Analysis of Cost-Function Merging for Implicit Hitting Set WCSP Solving](https://ojs.aaai.org/index.php/AAAI/article/view/28644) | [![GitHub](https://img.shields.io/github/stars/erollon/MHS-WCSP?style=flat)](https://github.com/erollon/MHS-WCSP) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28644/29250) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28644/29251) | | 9491 | [Automatic Core-Guided Reformulation via Constraint Explanation and Condition Learning](https://ojs.aaai.org/index.php/AAAI/article/view/28645) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28645/29252) | :heavy_minus_sign: | | 10424 | [Learning to Pivot as a Smart Expert](https://ojs.aaai.org/index.php/AAAI/article/view/28646) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28646/29254)
[![arXiv](https://img.shields.io/badge/arXiv-2308.08171-b31b1b.svg)](https://arxiv.org/abs/2308.08171) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28646/29255) | | 13719 | [Using Clustering to Strengthen Decision Diagram Bounds for Discrete Optimization](https://ojs.aaai.org/index.php/AAAI/article/view/28647) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28647/29256) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28647/29257) | | 14164 | [On Partial Optimal Transport: Revising the Infeasibility of Sinkhorn and Efficient Gradient Methods](https://ojs.aaai.org/index.php/AAAI/article/view/28648) | [![GitHub](https://img.shields.io/github/stars/joshnguyen99/partialot?style=flat)](https://github.com/joshnguyen99/partialot) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28648/29258)
[![arXiv](https://img.shields.io/badge/arXiv-2312.13970-b31b1b.svg)](https://arxiv.org/abs/2312.13970) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28648/29259) | | 12173 | [An Eager Satisfiability Modulo Theories Solver for Algebraic Datatypes](https://ojs.aaai.org/index.php/AAAI/article/view/28649) | [![GitHub](https://img.shields.io/github/stars/uclid-org/algaroba?style=flat)](https://github.com/uclid-org/algaroba) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28649/29260)
[![arXiv](https://img.shields.io/badge/arXiv-2310.12234-b31b1b.svg)](https://arxiv.org/abs/2310.12234) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28649/29261) | | 7159 | [An Approximate Skolem Function Counter](https://ojs.aaai.org/index.php/AAAI/article/view/28650) | [![GitHub](https://img.shields.io/github/stars/meelgroup/skolemfc?style=flat)](https://github.com/meelgroup/skolemfc) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28650/29262)
[![arXiv](https://img.shields.io/badge/arXiv-2312.12026-b31b1b.svg)](https://arxiv.org/abs/2312.12026) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28650/29263) | | 10706 | [Optimizing ADMM and Over-Relaxed ADMM Parameters for Linear Quadratic Problems](https://ojs.aaai.org/index.php/AAAI/article/view/28651) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28651/29264)
[![arXiv](https://img.shields.io/badge/arXiv-2401.00657-b31b1b.svg)](https://arxiv.org/abs/2401.00657) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28651/29265) | | 7009 | [Disjoint Partial Enumeration without Blocking Clauses](https://ojs.aaai.org/index.php/AAAI/article/view/28652) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28652/29266)
[![arXiv](https://img.shields.io/badge/arXiv-2306.00461-b31b1b.svg)](https://arxiv.org/abs/2306.00461) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28652/29267) | | 6717 | [SAT-based Algorithms for Regular Graph Pattern Matching](https://ojs.aaai.org/index.php/AAAI/article/view/28653) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28653/29268)
[![arXiv](https://img.shields.io/badge/arXiv-2312.09995-b31b1b.svg)](https://arxiv.org/abs/2312.09995) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28653/29269) | | 7882 | [CEGAR-based Approach for Solving Combinatorial Optimization Modulo Quantified Linear Arithmetics Problems](https://ojs.aaai.org/index.php/AAAI/article/view/28654) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28654/29270) | :heavy_minus_sign: | | 11731 | [Learning to Learn in Interactive Constraint Acquisition](https://ojs.aaai.org/index.php/AAAI/article/view/28655) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28655/29272)
[![arXiv](https://img.shields.io/badge/arXiv-2312.10795-b31b1b.svg)](https://arxiv.org/abs/2312.10795) | :heavy_minus_sign: | | 9701 | [GSO-Net: Grid Surface Optimization via Learning Geometric Constraints](https://ojs.aaai.org/index.php/AAAI/article/view/28656) | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://chaoyunwang.github.io/GSO-Net/)
[![GitHub](https://img.shields.io/github/stars/chaoyunwang/GSO-Net?style=flat)](https://github.com/chaoyunwang/GSO-Net) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28656/29274) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28656/29275) | | 13283 | [Encoding Constraints as Binary Constraint Networks Satisfying BTP](https://ojs.aaai.org/index.php/AAAI/article/view/28657) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28657/29276) | :heavy_minus_sign: | | 2756 | [What are the Rules? Discovering Constraints from Data](https://ojs.aaai.org/index.php/AAAI/article/view/28658) | [![WEB Page](https://img.shields.io/badge/WEB-Page-159957.svg)](https://eda.rg.cispa.io/prj/urpils/) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28658/29278) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28658/29279) | | 10725 | [SAT-based Tree Decomposition with Iterative Cascading Policy Selection](https://ojs.aaai.org/index.php/AAAI/article/view/28659) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28659/29280) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28659/29281) | | 4889 | [Engineering an Exact Pseudo-Boolean Model Counter](https://ojs.aaai.org/index.php/AAAI/article/view/28660) | [![GitHub](https://img.shields.io/github/stars/grab/pbcount?style=flat)](https://github.com/grab/pbcount) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28660/29282)
[![arXiv](https://img.shields.io/badge/arXiv-2312.12341-b31b1b.svg)](https://arxiv.org/abs/2312.12341) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28660/29283) | | 1253 | [A Reinforcement-Learning-based Multiple-Column Selection Strategy for Column Generation](https://ojs.aaai.org/index.php/AAAI/article/view/28661) |
[![GitHub](https://img.shields.io/github/stars/Xyz-yuanhf/rl4cg?style=flat)](https://github.com/Xyz-yuanhf/rl4cg) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28661/29284)
[![arXiv](https://img.shields.io/badge/arXiv-2312.14213-b31b1b.svg)](https://arxiv.org/abs/2312.14213) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28661/29285) | | 5400 | [Large-Scale Non-Convex Stochastic Constrained Distributionally Robust Optimization](https://ojs.aaai.org/index.php/AAAI/article/view/28662) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28662/29286)
[![arXiv](https://img.shields.io/badge/arXiv-2404.01200-b31b1b.svg)](https://arxiv.org/abs/2404.01200) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28662/29287) | ================================================ FILE: sections/2024/main/data_mining_and_knowledge_management.md ================================================ # AAAI-2024-Papers
Application App
## Data Mining and Knowledge Management ![Section Papers](https://img.shields.io/badge/Section%20Papers-135-42BA16) ![Preprint Papers](https://img.shields.io/badge/Preprint%20Papers-soon-b31b1b) ![Papers with Open Code](https://img.shields.io/badge/Papers%20with%20Open%20Code-soon-1D7FBF) ![Papers with Video](https://img.shields.io/badge/Papers%20with%20Video-soon-FF0000) | :id: | **Title** | **Repo** | **Paper** | **Video** | |------|-----------|:--------:|:---------:|:---------:| | | [Multimodal Graph Neural Architecture Search under Distribution Shifts](https://ojs.aaai.org/index.php/AAAI/article/view/28663) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28663/29288) | | | | [Make Lossy Compression Meaningful for Low-Light Images](https://ojs.aaai.org/index.php/AAAI/article/view/28664) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28664/29289) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28664/29290) | | | [RR-PU: A Synergistic Two-Stage Positive and Unlabeled Learning Framework for Robust Tax Evasion Detection](https://ojs.aaai.org/index.php/AAAI/article/view/28665) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28665/29291) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28665/29292) | | | [Hierarchical and Incremental Structural Entropy Minimization for Unsupervised Social Event Detection](https://ojs.aaai.org/index.php/AAAI/article/view/28666) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28666/29293) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28666/29294) | | | [Distributional Off-Policy Evaluation for Slate Recommendations](https://ojs.aaai.org/index.php/AAAI/article/view/28667) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28667/29295) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28667/29296) | | | [Uncertainty-Aware Yield Prediction with Multimodal Molecular Features](https://ojs.aaai.org/index.php/AAAI/article/view/28668) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28668/29297) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28668/29298) | | | [Sparse Enhanced Network: An Adversarial Generation Method for Robust Augmentation in Sequential Recommendation](https://ojs.aaai.org/index.php/AAAI/article/view/28669) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28669/29299) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28669/29300) | | | [Signed Graph Neural Ordinary Differential Equation for Modeling Continuous-Time Dynamics](https://ojs.aaai.org/index.php/AAAI/article/view/28670) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28670/29301) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28670/29302) | | | [Deep Structural Knowledge Exploitation and Synergy for Estimating Node Importance Value on Heterogeneous Information Networks](https://ojs.aaai.org/index.php/AAAI/article/view/28671) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28671/29303) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28671/29304) | | | [KGTS: Contrastive Trajectory Similarity Learning over Prompt Knowledge Graph Embedding](https://ojs.aaai.org/index.php/AAAI/article/view/28672) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28672/29305) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28672/29306) | | | [Learning to Reweight for Generalizable Graph Neural Network](https://ojs.aaai.org/index.php/AAAI/article/view/28673) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28673/29307) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28673/29308) | | | [Effective Comparative Prototype Hashing for Unsupervised Domain Adaptation](https://ojs.aaai.org/index.php/AAAI/article/view/28674) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28674/29309) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28674/29310) | | | [Modeling Knowledge Graphs with Composite Reasoning](https://ojs.aaai.org/index.php/AAAI/article/view/28675) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28675/29311) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28675/29312) | | | [Discovering Sequential Patterns with Predictable Inter-event Delays](https://ojs.aaai.org/index.php/AAAI/article/view/28676) | :heavy_minus_sign: | 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[![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28769/29477) | | | [CI-STHPAN: Pre-trained Attention Network for Stock Selection with Channel-Independent Spatio-Temporal Hypergraph](https://ojs.aaai.org/index.php/AAAI/article/view/28770) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28770/29478) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28770/29479) | | | [Feature Distribution Matching by Optimal Transport for Effective and Robust Coreset Selection](https://ojs.aaai.org/index.php/AAAI/article/view/28771) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28771/29480) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28771/29481) | | | [NestE: Modeling Nested Relational Structures for Knowledge Graph Reasoning](https://ojs.aaai.org/index.php/AAAI/article/view/28772) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28772/29482) | | | | [Revisiting Graph-Based Fraud Detection in Sight of Heterophily and Spectrum](https://ojs.aaai.org/index.php/AAAI/article/view/28773) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28773/29483) | | | | [Empowering Dual-Level Graph Self-Supervised Pretraining with Motif Discovery](https://ojs.aaai.org/index.php/AAAI/article/view/28774) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28774/29484) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28774/29485) | | | [Hypergraph Joint Representation Learning for Hypervertices and Hyperedges via Cross Expansion](https://ojs.aaai.org/index.php/AAAI/article/view/28775) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28775/29486) | | | | [FairSIN: Achieving Fairness in Graph Neural Networks through Sensitive Information Neutralization](https://ojs.aaai.org/index.php/AAAI/article/view/28776) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28776/29487) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28776/29488) | | | [Fine-Tuning Large Language Model Based Explainable Recommendation with Explainable Quality Reward](https://ojs.aaai.org/index.php/AAAI/article/view/28777) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28777/29489) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28777/29490) | | | [Graph Neural Networks with Soft Association between Topology and Attribute](https://ojs.aaai.org/index.php/AAAI/article/view/28778) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28778/29491) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28778/29492) | | | [TriSampler: A Better Negative Sampling Principle for Dense Retrieval](https://ojs.aaai.org/index.php/AAAI/article/view/28779) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28779/29493) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28779/29494) | | | [Parallel Ranking of Ads and Creatives in Real-Time Advertising Systems](https://ojs.aaai.org/index.php/AAAI/article/view/28780) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28780/29495) | | | | [WaveNet: Tackling Non-stationary Graph Signals via Graph Spectral Wavelets](https://ojs.aaai.org/index.php/AAAI/article/view/28781) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28781/29496) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28781/29497) | | | [RRL: Recommendation Reverse Learning](https://ojs.aaai.org/index.php/AAAI/article/view/28782) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28782/29498) | | | | [UNEX-RL: Reinforcing Long-Term Rewards in Multi-Stage Recommender Systems with UNidirectional EXecution](https://ojs.aaai.org/index.php/AAAI/article/view/28783) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28783/29499) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28783/29500) | | | [M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy](https://ojs.aaai.org/index.php/AAAI/article/view/28784) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28784/29501) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28784/29502) | | | [DiG-In-GNN: Discriminative Feature Guided GNN-Based Fraud Detector against Inconsistencies in Multi-Relation Fraud Graph](https://ojs.aaai.org/index.php/AAAI/article/view/28785) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28785/29503) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28785/29504) | | | [Dual-View Whitening on Pre-trained Text Embeddings for Sequential Recommendation](https://ojs.aaai.org/index.php/AAAI/article/view/28786) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28786/29505) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28786/29506) | | | [CAMEL: Capturing Metaphorical Alignment with Context Disentangling for Multimodal Emotion Recognition](https://ojs.aaai.org/index.php/AAAI/article/view/28787) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28787/29507) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28787/29508) | | | [ROG_PL: Robust Open-Set Graph Learning via Region-Based Prototype Learning](https://ojs.aaai.org/index.php/AAAI/article/view/28788) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28788/29509) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28788/29510) | | | [Temporal Graph Contrastive Learning for Sequential Recommendation](https://ojs.aaai.org/index.php/AAAI/article/view/28789) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28789/29511) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28789/29512) | | | [Influential Exemplar Replay for Incremental Learning in Recommender Systems](https://ojs.aaai.org/index.php/AAAI/article/view/28790) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28790/29513) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28790/29514) | | | [Another Way to the Top: Exploit Contextual Clustering in Learned Image Coding](https://ojs.aaai.org/index.php/AAAI/article/view/28791) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28791/29515) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28791/29516) | | | [Multi-Domain Deep Learning from a Multi-View Perspective for Cross-Border E-commerce Search](https://ojs.aaai.org/index.php/AAAI/article/view/28792) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28792/29517) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28792/29518) | | | [Spatial-Temporal Interplay in Human Mobility: A Hierarchical Reinforcement Learning Approach with Hypergraph Representation](https://ojs.aaai.org/index.php/AAAI/article/view/28793) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28793/29519) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28793/29520) | | | [FacetCRS: Multi-Faceted Preference Learning for Pricking Filter Bubbles in Conversational Recommender System](https://ojs.aaai.org/index.php/AAAI/article/view/28794) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28794/29521) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28794/29522) | | | [GMP-AR: Granularity Message Passing and Adaptive Reconciliation for Temporal Hierarchy Forecasting](https://ojs.aaai.org/index.php/AAAI/article/view/28795) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28795/29523) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28795/29524) | | | [Explainable Origin-Destination Crowd Flow Interpolation via Variational Multi-Modal Recurrent Graph Auto-Encoder](https://ojs.aaai.org/index.php/AAAI/article/view/28796) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28796/29525) | | | | [An Efficient Subgraph-Inferring Framework for Large-Scale Heterogeneous Graphs](https://ojs.aaai.org/index.php/AAAI/article/view/28797) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28797/29526) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28797/29527) | ================================================ FILE: sections/2024/main/game_theory_and_economic_paradigms.md ================================================ # AAAI-2024-Papers
Application App
## Game Theory and Economic Paradigms ![Section Papers](https://img.shields.io/badge/Section%20Papers-65-42BA16) ![Preprint Papers](https://img.shields.io/badge/Preprint%20Papers-soon-b31b1b) ![Papers with Open Code](https://img.shields.io/badge/Papers%20with%20Open%20Code-soon-1D7FBF) ![Papers with Video](https://img.shields.io/badge/Papers%20with%20Video-soon-FF0000) | :id: | **Title** | **Repo** | **Paper** | **Video** | |------|-----------|:--------:|:---------:|:---------:| | | [Analytically Tractable Models for Decision Making under Present Bias](https://ojs.aaai.org/index.php/AAAI/article/view/28798) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28798/29528) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28798/29529) | | | [Optimistic Policy Gradient in Multi-Player Markov Games with a Single Controller: Convergence beyond the Minty Property](https://ojs.aaai.org/index.php/AAAI/article/view/28799) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28799/29530) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28799/29531) | | | [Improved Metric Distortion via Threshold Approvals](https://ojs.aaai.org/index.php/AAAI/article/view/28800) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28800/29532) | | | | [Fair Lotteries for Participatory Budgeting](https://ojs.aaai.org/index.php/AAAI/article/view/28801) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28801/29533) | | | | [Envy-Free House Allocation under Uncertain Preferences](https://ojs.aaai.org/index.php/AAAI/article/view/28802) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28802/29534) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28802/29535) | | | [Content Filtering with Inattentive Information Consumers](https://ojs.aaai.org/index.php/AAAI/article/view/28803) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28803/29536) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28803/29537) | | | [Nearly Equitable Allocations beyond Additivity and Monotonicity](https://ojs.aaai.org/index.php/AAAI/article/view/28804) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28804/29538) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28804/29539) | | | [Principal-Agent Reward Shaping in MDPs](https://ojs.aaai.org/index.php/AAAI/article/view/28805) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28805/29540) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28805/29541) | | | [Enhancing the Efficiency of Altruism and Taxes in Affine Congestion Games through Signalling](https://ojs.aaai.org/index.php/AAAI/article/view/28806) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28806/29542) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28806/29543) | | | [Approval-Based Committee Voting in Practice: A Case Study of (over-)Representation in the Polkadot Blockchain](https://ojs.aaai.org/index.php/AAAI/article/view/28807) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28807/29544) | | | | [Completing Priceable Committees: Utilitarian and Representation Guarantees for Proportional Multiwinner Voting](https://ojs.aaai.org/index.php/AAAI/article/view/28808) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28808/29545) | | | | [Stability in Online Coalition Formation](https://ojs.aaai.org/index.php/AAAI/article/view/28809) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28809/29546) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28809/29547) | | | [Participation Incentives in Approval-Based Committee Elections](https://ojs.aaai.org/index.php/AAAI/article/view/28810) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28810/29548) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28810/29549) | | | [Low-Distortion Clustering with Ordinal and Limited Cardinal Information](https://ojs.aaai.org/index.php/AAAI/article/view/28811) | :heavy_minus_sign: | 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[![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28851/29619) | | | [The Moderating Effect of Instant Runoff Voting](https://ojs.aaai.org/index.php/AAAI/article/view/28852) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28852/29620) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28852/29621) | | | [Unravelling Expressive Delegations: Complexity and Normative Analysis](https://ojs.aaai.org/index.php/AAAI/article/view/28853) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28853/29622) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28853/29623) | | | [Predicting Real-World Penny Auction Durations by Integrating Game Theory and Machine Learning](https://ojs.aaai.org/index.php/AAAI/article/view/28854) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28854/29624) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28854/29625) | | | [Simultaneous Optimization of Bid Shading and Internal Auction for Demand-Side Platforms](https://ojs.aaai.org/index.php/AAAI/article/view/28855) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28855/29626) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28855/29627) | | | [Learning Coalition Structures with Games](https://ojs.aaai.org/index.php/AAAI/article/view/28856) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28856/29628) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28856/29629) | | | [Non-excludable Bilateral Trade between Groups](https://ojs.aaai.org/index.php/AAAI/article/view/28857) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28857/29630) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28857/29631) | | | [Greedy-Based Online Fair Allocation with Adversarial Input: Enabling Best-of-Many-Worlds Guarantees](https://ojs.aaai.org/index.php/AAAI/article/view/28858) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28858/29632) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28858/29633) | | | [On the Outcome Equivalence of Extensive-Form and Behavioral Correlated Equilibria](https://ojs.aaai.org/index.php/AAAI/article/view/28859) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28859/29634) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28859/29635) | | | [Eliciting Honest Information from Authors Using Sequential Review](https://ojs.aaai.org/index.php/AAAI/article/view/28860) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28860/29636) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28860/29637) | | | [Fair Allocation of Items in Multiple Regions](https://ojs.aaai.org/index.php/AAAI/article/view/28861) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28861/29638) | | | | [Altruism in Facility Location Problems](https://ojs.aaai.org/index.php/AAAI/article/view/28862) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28862/29639) | | ================================================ FILE: sections/2024/main/humans_and_ai.md ================================================ # AAAI-2024-Papers
Application App
## Humans and AI ![Section Papers](https://img.shields.io/badge/Section%20Papers-31-42BA16) ![Preprint Papers](https://img.shields.io/badge/Preprint%20Papers-15-b31b1b) ![Papers with Open Code](https://img.shields.io/badge/Papers%20with%20Open%20Code-15-1D7FBF) ![Papers with Video](https://img.shields.io/badge/Papers%20with%20Video-15-FF0000) | :id: | **Title** | **Repo** | **Paper** | **Video** | |------|-----------|:--------:|:---------:|:---------:| | 5006 | [Explaining Reinforcement Learning Agents through Counterfactual Action Outcomes](https://ojs.aaai.org/index.php/AAAI/article/view/28863) | [![GitHub](https://img.shields.io/github/stars/yotamitai/COViz?style=flat)](https://github.com/yotamitai/COViz) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28863/29640)
[![arXiv](https://img.shields.io/badge/arXiv-2312.11118-b31b1b.svg)](https://arxiv.org/abs/2312.11118) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28863/29641) | | 4113 | [Data-Driven Knowledge-Aware Inference of Private Information in Continuous Double Auctions](https://ojs.aaai.org/index.php/AAAI/article/view/28864) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28864/29642) | :heavy_minus_sign: | | 13469 | [Procedural Level Generation with Diffusion Models from a Single Example](https://ojs.aaai.org/index.php/AAAI/article/view/28865) | [![GitHub](https://img.shields.io/github/stars/shiqi-dai/diffusioncraft?style=flat)](https://github.com/shiqi-dai/diffusioncraft) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28865/29644) | :heavy_minus_sign: | | 8410 | [When are Two Lists Better than One?: Benefits and Harms in Joint Decision-Making](https://ojs.aaai.org/index.php/AAAI/article/view/28866) | [![GitHub](https://img.shields.io/github/stars/kpdonahue/benefits_harms_joint_decision_making?style=flat)](https://github.com/kpdonahue/benefits_harms_joint_decision_making) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28866/29646)
[![arXiv](https://img.shields.io/badge/arXiv-2308.11721-b31b1b.svg)](https://arxiv.org/abs/2308.11721) | :heavy_minus_sign: | | 7853 | [A Local-Ascending-Global Learning Strategy for Brain-Computer Interface](https://ojs.aaai.org/index.php/AAAI/article/view/28867) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28867/29647) | :heavy_minus_sign: | | 4466 | [Working Memory Capacity of ChatGPT: An Empirical Study](https://ojs.aaai.org/index.php/AAAI/article/view/28868) | [![GitHub](https://img.shields.io/github/stars/Daniel-Gong/ChatGPT-WM?style=flat)](https://github.com/Daniel-Gong/ChatGPT-WM) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28868/29649)
[![arXiv](https://img.shields.io/badge/arXiv-2305.03731-b31b1b.svg)](https://arxiv.org/abs/2305.03731) | :heavy_minus_sign: | | 3837 | [Count What You Want: Exemplar Identification and Few-Shot Counting of Human Actions in the Wild](https://ojs.aaai.org/index.php/AAAI/article/view/28869) | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://yifehuang97.github.io/ExRAC.github.io/)
[![GitHub](https://img.shields.io/github/stars/cvlab-stonybrook/ExRAC?style=flat)](https://github.com/cvlab-stonybrook/ExRAC) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28869/29651)
[![arXiv](https://img.shields.io/badge/arXiv-2312.17330-b31b1b.svg)](https://arxiv.org/abs/2312.17330) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28869/29652) | | 12167 | [Learning Optimal Advantage from Preferences and Mistaking it for Reward](https://ojs.aaai.org/index.php/AAAI/article/view/28870) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28870/29653)
[![arXiv](https://img.shields.io/badge/arXiv-2310.02456-b31b1b.svg)](https://arxiv.org/abs/2310.02456) | :heavy_minus_sign: | | 14064 | [A Unified Self-Distillation Framework for Multimodal Sentiment Analysis with Uncertain Missing Modalities](https://ojs.aaai.org/index.php/AAAI/article/view/28871) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28871/29655) | :heavy_minus_sign: | | 1022 | [Decoding AI's Nudge: A Unified Framework to Predict Human Behavior in AI-Assisted Decision Making](https://ojs.aaai.org/index.php/AAAI/article/view/28872) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28872/29657)
[![arXiv](https://img.shields.io/badge/arXiv-2401.05840-b31b1b.svg)](https://arxiv.org/abs/2401.05840) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28872/29658) | | 998 | [GigaHumanDet: Exploring Full-Body Detection on Gigapixel-Level Images](https://ojs.aaai.org/index.php/AAAI/article/view/28873) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28873/29659) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28873/29660) | | 11412 | [Hypergraph-Guided Disentangled Spectrum Transformer Networks for Near-Infrared Facial Expression Recognition](https://ojs.aaai.org/index.php/AAAI/article/view/28874) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28874/29661)
[![arXiv](https://img.shields.io/badge/arXiv-2312.05907-b31b1b.svg)](https://arxiv.org/abs/2312.05907) | :heavy_minus_sign: | | 12314 | [Goal Alignment: Re-Analyzing Value Alignment Problems using Human-Aware AI](https://ojs.aaai.org/index.php/AAAI/article/view/28875) | [![GitHub](https://img.shields.io/github/stars/HAPILab/GoalAlignment?style=flat)](https://github.com/HAPILab/GoalAlignment) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28875/29663) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28875/29664) | | 9125 | [Efficient Online Crowdsourcing with Complex Annotations](https://ojs.aaai.org/index.php/AAAI/article/view/28876) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28876/29665)
[![arXiv](https://img.shields.io/badge/arXiv-2401.15116-b31b1b.svg)](https://arxiv.org/abs/2401.15116) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28876/29666) | | 11581 | [Can You Rely on Synthetic Labellers in Preference-based Reinforcement Learning? It's Complicated](https://ojs.aaai.org/index.php/AAAI/article/view/28877) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28877/29667) | :heavy_minus_sign: | | 8781 | [When to Show a Suggestion? Integrating Human Feedback in AI-Assisted Programming](https://ojs.aaai.org/index.php/AAAI/article/view/28878) | [![GitHub](https://img.shields.io/github/stars/microsoft/coderec_programming_states?style=flat)](https://github.com/microsoft/coderec_programming_states) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28878/29669)
[![arXiv](https://img.shields.io/badge/arXiv-2306.04930-b31b1b.svg)](https://arxiv.org/abs/2306.04930) | :heavy_minus_sign: | | 4372 | [Improving Transferability for Cross-Domain Trajectory Prediction via Neural Stochastic Differential Equation](https://ojs.aaai.org/index.php/AAAI/article/view/28879) | [![GitHub](https://img.shields.io/github/stars/daeheepark/TrajSDE?style=flat)](https://github.com/daeheepark/TrajSDE) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28879/29670)
[![arXiv](https://img.shields.io/badge/arXiv-2312.15906-b31b1b.svg)](https://arxiv.org/abs/2312.15906) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28879/29671) | | 4976 | [Exploring Domain Incremental Video Highlights Detection with the LiveFood Benchmark](https://ojs.aaai.org/index.php/AAAI/article/view/28880) | [![GitHub](https://img.shields.io/github/stars/ForeverPs/IncrementalVHD_GPE?style=flat)](https://github.com/ForeverPs/IncrementalVHD_GPE) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28880/29672)
[![arXiv](https://img.shields.io/badge/arXiv-2209.05166-b31b1b.svg)](https://arxiv.org/abs/2209.05166) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28880/29673) | | 12107 | [Sample-Constrained Black Box Optimization for Audio Personalization](https://ojs.aaai.org/index.php/AAAI/article/view/28881) | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://oraclebo.github.io/) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28881/29674) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28881/29675) | | 8013 | [Intelligent Calibration for Bias Reduction in Sentiment Corpora Annotation Process](https://ojs.aaai.org/index.php/AAAI/article/view/28882) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28882/29676) | :heavy_minus_sign: | | 5554 | [TransGOP: Transformer-based Gaze Object Prediction](https://ojs.aaai.org/index.php/AAAI/article/view/28883) | [![GitHub](https://img.shields.io/github/stars/chenxi-Guo/TransGOP?style=flat)](https://github.com/chenxi-Guo/TransGOP) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28883/29678)
[![arXiv](https://img.shields.io/badge/arXiv-2402.13578-b31b1b.svg)](https://arxiv.org/abs/2402.13578) | :heavy_minus_sign: | | 1102 | [Visual Redundancy Removal for Composite Images: A Benchmark Dataset and a Multi-Visual-Effects Driven Incremental Method](https://ojs.aaai.org/index.php/AAAI/article/view/28884) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28884/29680) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28884/29681) | | 12348 | [TexFit: Text-Driven Fashion Image Editing with Diffusion Models](https://ojs.aaai.org/index.php/AAAI/article/view/28885) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28885/29682) | :heavy_minus_sign: | | 8024 | [Rating-based Reinforcement Learning](https://ojs.aaai.org/index.php/AAAI/article/view/28886) | [![GitHub](https://img.shields.io/github/stars/Dev1nW/Rating-based-Reinforcement-Learning?style=flat)](https://github.com/Dev1nW/Rating-based-Reinforcement-Learning) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28886/29684)
[![arXiv](https://img.shields.io/badge/arXiv-2307.16348-b31b1b.svg)](https://arxiv.org/abs/2307.16348) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28886/29685) | | 12668 | [MKG-FENN: A Multimodal Knowledge Graph Fused End-to-End Neural Network for Accurate Drug–Drug Interaction Prediction](https://ojs.aaai.org/index.php/AAAI/article/view/28887) | [![GitHub](https://img.shields.io/github/stars/wudi1989/MKG-FENN?style=flat)](https://github.com/wudi1989/MKG-FENN) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28887/29686) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28887/29687) | | 8806 | [Spatial-Related Sensors Matters: 3D Human Motion Reconstruction Assisted with Textual Semantics](https://ojs.aaai.org/index.php/AAAI/article/view/28888) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28888/29688)
[![arXiv](https://img.shields.io/badge/arXiv-2401.05412-b31b1b.svg)](https://arxiv.org/abs/2401.05412) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28888/29689) | | 5085 | [Scalable Motion Style Transfer with Constrained Diffusion Generation](https://ojs.aaai.org/index.php/AAAI/article/view/28889) | [![GitHub](https://img.shields.io/github/stars/anonymous-user-2023/ddst?style=flat)](https://github.com/anonymous-user-2023/ddst) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28889/29690)
[![arXiv](https://img.shields.io/badge/arXiv-2312.07311-b31b1b.svg)](https://arxiv.org/abs/2312.07311) | :heavy_minus_sign: | | 12188 | ['Why Didn't You Allocate This Task to Them?' Negotiation-Aware Task Allocation and Contrastive Explanation Generation](https://ojs.aaai.org/index.php/AAAI/article/view/28890) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28890/29692) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28890/29693) | | 3130 | [Beyond Mimicking Under-Represented Emotions: Deep Data Augmentation with Emotional Subspace Constraints for EEG-based Emotion Recognition](https://ojs.aaai.org/index.php/AAAI/article/view/28891) | [![GitHub](https://img.shields.io/github/stars/tczhangzhi/PyTorch-ESCGAN?style=flat)](https://github.com/tczhangzhi/PyTorch-ESCGAN) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28891/29694) | :heavy_minus_sign: | | 3305 | [MetaRLEC: Meta-Reinforcement Learning for Discovery of Brain Effective Connectivity](https://ojs.aaai.org/index.php/AAAI/article/view/28892) | [![GitHub](https://img.shields.io/github/stars/layzoom/MetaRLEC?style=flat)](https://github.com/layzoom/MetaRLEC) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28892/29696) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28892/29697) | | 6962 | [DanceMVP: Self-Supervised Learning for Multi-Task Primitive-Based Dance Performance Assessment via Transformer Text Prompting](https://ojs.aaai.org/index.php/AAAI/article/view/28893) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28893/29698) | :heavy_minus_sign: | ================================================ FILE: sections/2024/main/intelligent_robots.md ================================================ # AAAI-2024-Papers
Application App
## Intelligent Robots ![Section Papers](https://img.shields.io/badge/Section%20Papers-16-42BA16) ![Preprint Papers](https://img.shields.io/badge/Preprint%20Papers-9-b31b1b) ![Papers with Open Code](https://img.shields.io/badge/Papers%20with%20Open%20Code-13-1D7FBF) ![Papers with Video](https://img.shields.io/badge/Papers%20with%20Video-10-FF0000) | :id: | **Title** | **Repo** | **Paper** | **Video** | |------|-----------|:--------:|:---------:|:---------:| | 3619 | [Optimal Makespan in a Minute Timespan! A Scalable Multi-Robot Goal Assignment Algorithm for Minimizing Mission Time](https://ojs.aaai.org/index.php/AAAI/article/view/28894) | [![GitHub](https://img.shields.io/github/stars/iitkcpslab/H-Scalable-MRGA-Makespan?style=flat)](https://github.com/iitkcpslab/H-Scalable-MRGA-Makespan) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28894/29700) | :heavy_minus_sign: | | 8186 | [On Computing Makespan-Optimal Solutions for Generalized Sliding-Tile Puzzles](https://ojs.aaai.org/index.php/AAAI/article/view/28895) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28895/29702)
[![arXiv](https://img.shields.io/badge/arXiv-2312.10887-b31b1b.svg)](https://arxiv.org/abs/2312.10887) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28895/29703) | | 12074 | [Interactive Visual Task Learning for Robots](https://ojs.aaai.org/index.php/AAAI/article/view/28896) | [![WEB Page](https://img.shields.io/badge/WEB-Page-159957.svg)](https://sites.google.com/view/ivtl)
[![GitHub](https://img.shields.io/github/stars/WeiweiGu1998/HiViscont?style=flat)](https://github.com/WeiweiGu1998/HiViscont) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28896/29704)
[![arXiv](https://img.shields.io/badge/arXiv-2312.13219-b31b1b.svg)](https://arxiv.org/abs/2312.13219) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28896/29705) | | 7400 | [DexFuncGrasp: A Robotic Dexterous Functional Grasp Dataset Constructed from a Cost-Effective Real-Simulation Annotation System](https://ojs.aaai.org/index.php/AAAI/article/view/28897) | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://hjlllll.github.io/DFG/)
[![GitHub](https://img.shields.io/github/stars/hjlllll/DexFuncGrasp?style=flat)](https://github.com/hjlllll/DexFuncGrasp) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28897/29706) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28897/29707) | | 10606 | [LINGO-Space: Language-Conditioned Incremental Grounding for Space](https://ojs.aaai.org/index.php/AAAI/article/view/28898) | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://lingo-space.github.io/)
[![GitHub](https://img.shields.io/github/stars/rirolab/LINGO-Space?style=flat)](https://github.com/rirolab/LINGO-Space) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28898/29708)
[![arXiv](https://img.shields.io/badge/arXiv-2402.01183-b31b1b.svg)](https://arxiv.org/abs/2402.01183) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28898/29709) | | 11249 | [CTO-SLAM: Contour Tracking for Object-Level Robust 4D SLAM](https://ojs.aaai.org/index.php/AAAI/article/view/28899) | [![GitHub](https://img.shields.io/github/stars/realXiaohan/CTO-SLAM?style=flat)](https://github.com/realXiaohan/CTO-SLAM) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28899/29710) | :heavy_minus_sign: | | 4666 | [BAT: Behavior-Aware Human-Like Trajectory Prediction for Autonomous Driving](https://ojs.aaai.org/index.php/AAAI/article/view/28900) | [![GitHub](https://img.shields.io/github/stars/Petrichor625/BATraj-Behavior-aware-Model?style=flat)](https://github.com/Petrichor625/BATraj-Behavior-aware-Model) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28900/29712)
[![arXiv](https://img.shields.io/badge/arXiv-2312.06371-b31b1b.svg)](https://arxiv.org/abs/2312.06371) | :heavy_minus_sign: | | 1088 | [Deep Homography Estimation for Visual Place Recognition](https://ojs.aaai.org/index.php/AAAI/article/view/28901) | [![GitHub](https://img.shields.io/github/stars/Lu-Feng/DHE-VPR?style=flat)](https://github.com/Lu-Feng/DHE-VPR) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28901/29714)
[![arXiv](https://img.shields.io/badge/arXiv-2402.16086-b31b1b.svg)](https://arxiv.org/abs/2402.16086) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28901/29715) | | 14043 | [Task Planning for Object Rearrangement in Multi-Room Environments](https://ojs.aaai.org/index.php/AAAI/article/view/28902) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28902/29716) | :heavy_minus_sign: | | 11647 | [Hierarchical Planning and Learning for Robots in Stochastic Settings using Zero-Shot Option Invention](https://ojs.aaai.org/index.php/AAAI/article/view/28903) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28903/29718) | :heavy_minus_sign: | | 3638 | [MorphVAE: Advancing Morphological Design of Voxel-based Soft Robots with Variational Autoencoders](https://ojs.aaai.org/index.php/AAAI/article/view/28904) | [![GitHub](https://img.shields.io/github/stars/WoodySJR/MorphVAE?style=flat)](https://github.com/WoodySJR/MorphVAE) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28904/29720) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28904/29721) | | 7190 | [DistilVPR: Cross-Modal Knowledge Distillation for Visual Place Recognition](https://ojs.aaai.org/index.php/AAAI/article/view/28905) | [![GitHub](https://img.shields.io/github/stars/sijieaaa/DistilVPR?style=flat)](https://github.com/sijieaaa/DistilVPR) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28905/29722)
[![arXiv](https://img.shields.io/badge/arXiv-2312.10616-b31b1b.svg)](https://arxiv.org/abs/2312.10616) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28905/29723) | | 5770 | [Angle Robustness Unmanned Aerial Vehicle Navigation in GNSS-Denied Scenarios](https://ojs.aaai.org/index.php/AAAI/article/view/28906) | [![GitHub](https://img.shields.io/github/stars/Katherine121/AngleRobust?style=flat)](https://github.com/Katherine121/AngleRobust) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28906/29724)
[![arXiv](https://img.shields.io/badge/arXiv-2402.02405-b31b1b.svg)](https://arxiv.org/abs/2402.02405) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28906/29725) | | 8761 | [Learning from Ambiguous Demonstrations with Self-Explanation Guided Reinforcement Learning](https://ojs.aaai.org/index.php/AAAI/article/view/28907) | [![GitHub](https://img.shields.io/github/stars/YantianZha/SERLfD?style=flat)](https://github.com/YantianZha/SERLfD) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28907/29726)
[![arXiv](https://img.shields.io/badge/arXiv-2110.05286-b31b1b.svg)](https://arxiv.org/abs/2110.05286) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28907/29727) | | 6212 | [Multi-Constellation-Inspired Single-Shot Global LiDAR Localization](https://ojs.aaai.org/index.php/AAAI/article/view/28908) | [![GitHub](https://img.shields.io/github/stars/jlurobot/multi-constellation-localization?style=flat)](https://github.com/jlurobot/multi-constellation-localization) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28908/29728) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28908/29729) | | 6636 | [DeepPointMap: Advancing LiDAR SLAM with Unified Neural Descriptors](https://ojs.aaai.org/index.php/AAAI/article/view/28909) | [![GitHub](https://img.shields.io/github/stars/ZhangXiaze/DeepPointMap?style=flat)](https://github.com/ZhangXiaze/DeepPointMap) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28909/29730)
[![arXiv](https://img.shields.io/badge/arXiv-2312.02684-b31b1b.svg)](https://arxiv.org/abs/2312.02684) | :heavy_minus_sign: | ================================================ FILE: sections/2024/main/knowledge_representation_and_reasoning.md ================================================ # AAAI-2024-Papers
Application App
## Knowledge Representation and Reasoning ![Section Papers](https://img.shields.io/badge/Section%20Papers-38-42BA16) ![Preprint Papers](https://img.shields.io/badge/Preprint%20Papers-soon-b31b1b) ![Papers with Open Code](https://img.shields.io/badge/Papers%20with%20Open%20Code-soon-1D7FBF) ![Papers with Video](https://img.shields.io/badge/Papers%20with%20Video-soon-FF0000) | :id: | **Title** | **Repo** | **Paper** | **Video** | |------|-----------|:--------:|:---------:|:---------:| | | [Complexity of Credulous and Skeptical Acceptance in Epistemic Argumentation Framework](https://ojs.aaai.org/index.php/AAAI/article/view/28910) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28910/29731) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28910/29732) | | | [Approximation Algorithms for Preference Aggregation Using CP-Nets](https://ojs.aaai.org/index.php/AAAI/article/view/28911) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28911/29733) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28911/29734) | | | [What Does a Query Answer Tell You? Informativeness of Query Answers for Knowledge Bases](https://ojs.aaai.org/index.php/AAAI/article/view/28912) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28912/29735) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28912/29736) | | | [Defeasible Normative Reasoning: A Proof-Theoretic Integration of Logical Argumentation](https://ojs.aaai.org/index.php/AAAI/article/view/28913) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28913/29737) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28913/29738) | | | [Computing the Why-Provenance for Datalog Queries via SAT Solvers](https://ojs.aaai.org/index.php/AAAI/article/view/28914) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28914/29739) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28914/29740) | | | [Generalisation through Negation and Predicate Invention](https://ojs.aaai.org/index.php/AAAI/article/view/28915) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28915/29741) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28915/29742) | | | [Learning Small Decision Trees for Data of Low Rank-Width](https://ojs.aaai.org/index.php/AAAI/article/view/28916) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28916/29743) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28916/29744) | | | [Stable Model Semantics for Description Logic Terminologies](https://ojs.aaai.org/index.php/AAAI/article/view/28917) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28917/29745) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28917/29746) | | | [Redefining ABA+ Semantics via Abstract Set-to-Set Attacks](https://ojs.aaai.org/index.php/AAAI/article/view/28918) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28918/29747) | | | | [Towards Epistemic-Doxastic Planning with Observation and Revision](https://ojs.aaai.org/index.php/AAAI/article/view/28919) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28919/29748) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28919/29749) | | | [Dynamic Tangled Derivative Logic of Metric Spaces](https://ojs.aaai.org/index.php/AAAI/article/view/28920) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28920/29750) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28920/29751) | | | [Submodel Enumeration for CTL Is Hard](https://ojs.aaai.org/index.php/AAAI/article/view/28921) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28921/29752) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28921/29753) | | | [Linear-Time Verification of Data-Aware Processes Modulo Theories via Covers and Automata](https://ojs.aaai.org/index.php/AAAI/article/view/28922) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28922/29754) | | | | [On the Structural Hardness of Answer Set Programming: Can Structure Efficiently Confine the Power of Disjunctions?](https://ojs.aaai.org/index.php/AAAI/article/view/28923) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28923/29755) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28923/29756) | | | [Knowledge Enhanced Representation Learning for Drug Discovery](https://ojs.aaai.org/index.php/AAAI/article/view/28924) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28924/29757) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28924/29758) | | | [Learning MDL Logic Programs from Noisy Data](https://ojs.aaai.org/index.php/AAAI/article/view/28925) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28925/29759) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28925/29760) | | | [A Compiler for Weak Decomposable Negation Normal Form](https://ojs.aaai.org/index.php/AAAI/article/view/28926) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28926/29761) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28926/29762) | | | [Exact ASP Counting with Compact Encodings](https://ojs.aaai.org/index.php/AAAI/article/view/28927) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28927/29763) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28927/29764) | | | [Minimal Macro-Based Rewritings of Formal Languages: Theory and Applications in Ontology Engineering (and Beyond)](https://ojs.aaai.org/index.php/AAAI/article/view/28928) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28928/29765) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28928/29766) | | | [On the Expressivity of Recurrent Neural Cascades](https://ojs.aaai.org/index.php/AAAI/article/view/28929) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28929/29767) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28929/29768) | | | [Efficient Axiomatization of OWL 2 EL Ontologies from Data by Means of Formal Concept Analysis](https://ojs.aaai.org/index.php/AAAI/article/view/28930) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28930/29769) | | | | [BAIT: Benchmarking (Embedding) Architectures for Interactive Theorem-Proving](https://ojs.aaai.org/index.php/AAAI/article/view/28931) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28931/29770) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28931/29771) | | | [INFORMEDQX: Informed Conflict Detection for Over-Constrained Problems](https://ojs.aaai.org/index.php/AAAI/article/view/28932) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28932/29772) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28932/29773) | | | [Abstraction of Situation Calculus Concurrent Game Structures](https://ojs.aaai.org/index.php/AAAI/article/view/28933) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28933/29774) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28933/29775) | | | [Relational Programming with Foundational Models](https://ojs.aaai.org/index.php/AAAI/article/view/28934) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28934/29776) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28934/29777) | | | [MINES: Message Intercommunication for Inductive Relation Reasoning over Neighbor-Enhanced Subgraphs](https://ojs.aaai.org/index.php/AAAI/article/view/28935) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28935/29778) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28935/29779) | | | [Auditable Algorithms for Approximate Model Counting](https://ojs.aaai.org/index.php/AAAI/article/view/28936) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28936/29780) | | | | [A General Theoretical Framework for Learning Smallest Interpretable Models](https://ojs.aaai.org/index.php/AAAI/article/view/28937) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28937/29781) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28937/29782) | | | [Reinforcement Learning and Data-Generation for Syntax-Guided Synthesis](https://ojs.aaai.org/index.php/AAAI/article/view/28938) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28938/29783) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28938/29784) | | | [Adaptive Reactive Synthesis for LTL and LTLf Modulo Theories](https://ojs.aaai.org/index.php/AAAI/article/view/28939) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28939/29785) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28939/29786) | | | [A Unified View on Forgetting and Strong Equivalence Notions in Answer Set Programming](https://ojs.aaai.org/index.php/AAAI/article/view/28940) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28940/29787) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28940/29788) | | | [BeliefFlow: A Framework for Logic-Based Belief Diffusion via Iterated Belief Change](https://ojs.aaai.org/index.php/AAAI/article/view/28941) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28941/29789) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28941/29790) | | | [NegVSR: Augmenting Negatives for Generalized Noise Modeling in Real-world Video Super-Resolution](https://ojs.aaai.org/index.php/AAAI/article/view/28942) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28942/29791) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28942/29792) | | | [Scalable Enumeration of Trap Spaces in Boolean Networks via Answer Set Programming](https://ojs.aaai.org/index.php/AAAI/article/view/28943) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28943/29793) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28943/29794) | | | [Non-flat ABA Is an Instance of Bipolar Argumentation](https://ojs.aaai.org/index.php/AAAI/article/view/28944) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28944/29795) | | | | [Bilateral Gradual Semantics for Weighted Argumentation](https://ojs.aaai.org/index.php/AAAI/article/view/28945) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28945/29796) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28945/29797) | | | [Decomposing Constraint Networks for Calculating c-Representations](https://ojs.aaai.org/index.php/AAAI/article/view/28946) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28946/29798) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28946/29799) | | | [Optimised Storage for Datalog Reasoning](https://ojs.aaai.org/index.php/AAAI/article/view/28947) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28947/29800) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28947/29801) | ================================================ FILE: sections/2024/main/machine_learning.md ================================================ # AAAI-2024-Papers
Application App
## Machine Learning ![Section Papers](https://img.shields.io/badge/Section%20Papers-728-42BA16) ![Preprint Papers](https://img.shields.io/badge/Preprint%20Papers-soon-b31b1b) ![Papers with Open Code](https://img.shields.io/badge/Papers%20with%20Open%20Code-soon-1D7FBF) ![Papers with Video](https://img.shields.io/badge/Papers%20with%20Video-soon-FF0000) | :id: | **Title** | **Repo** | **Paper** | **Video** | |------|-----------|:--------:|:---------:|:---------:| | | [Prot2Text: Multimodal Protein’s Function Generation with GNNs and Transformers](https://ojs.aaai.org/index.php/AAAI/article/view/28948) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28948/29802) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28948/29803) | | | [Unsupervised Neighborhood Propagation Kernel Layers for Semi-supervised Node Classification](https://ojs.aaai.org/index.php/AAAI/article/view/28949) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28949/29804) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28949/29805) | | | [No Prejudice! Fair Federated Graph Neural Networks for Personalized Recommendation](https://ojs.aaai.org/index.php/AAAI/article/view/28950) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28950/29806) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28950/29807) | | | [Pareto Front-Diverse Batch Multi-Objective Bayesian Optimization](https://ojs.aaai.org/index.php/AAAI/article/view/28951) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28951/29808) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28951/29809) | | | [SimCS: Simulation for Domain Incremental Online Continual Segmentation](https://ojs.aaai.org/index.php/AAAI/article/view/28952) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28952/29810) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28952/29811) | | | [Sample Efficient Reinforcement Learning with Partial Dynamics Knowledge](https://ojs.aaai.org/index.php/AAAI/article/view/28953) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28953/29812) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28953/29813) | | | [Understanding and Improving Optimization in Predictive Coding Networks](https://ojs.aaai.org/index.php/AAAI/article/view/28954) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28954/29814) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28954/29815) | | | [Limited Memory Online Gradient Descent for Kernelized Pairwise Learning with Dynamic Averaging](https://ojs.aaai.org/index.php/AAAI/article/view/28955) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28955/29816) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28955/29817) | | | [Faithful Model Explanations through Energy-Constrained Conformal Counterfactuals](https://ojs.aaai.org/index.php/AAAI/article/view/28956) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28956/29818) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28956/29819) | | | [Optimal Transport with Tempered Exponential Measures](https://ojs.aaai.org/index.php/AAAI/article/view/28957) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28957/29820) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28957/29821) | | | [Elijah: Eliminating Backdoors Injected in Diffusion Models via Distribution Shift](https://ojs.aaai.org/index.php/AAAI/article/view/28958) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28958/29822) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28958/29823) | | | [Transfer and Alignment Network for Generalized Category Discovery](https://ojs.aaai.org/index.php/AAAI/article/view/28959) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/28959/29824) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/28959/29825) | | | [Fluctuation-Based Adaptive Structured Pruning for Large Language Models](https://ojs.aaai.org/index.php/AAAI/article/view/28960) | :heavy_minus_sign: | 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Contrastive Learning](https://ojs.aaai.org/index.php/AAAI/article/view/29649) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29649/31103) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29649/31104) | | | [Confusing Pair Correction Based on Category Prototype for Domain Adaptation under Noisy Environments](https://ojs.aaai.org/index.php/AAAI/article/view/29650) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29650/31105) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29650/31106) | | | [Knowledge-Aware Parameter Coaching for Personalized Federated Learning](https://ojs.aaai.org/index.php/AAAI/article/view/29651) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29651/31107) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29651/31108) | | | [No Prior Mask: Eliminate Redundant Action for Deep Reinforcement Learning](https://ojs.aaai.org/index.php/AAAI/article/view/29652) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29652/31109) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29652/31110) | | | [PreRoutGNN for Timing Prediction with Order Preserving Partition: Global Circuit Pre-training, Local Delay Learning and Attentional Cell Modeling](https://ojs.aaai.org/index.php/AAAI/article/view/29653) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29653/31111) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29653/31112) | | | [Cycle Self-Refinement for Multi-Source Domain Adaptation](https://ojs.aaai.org/index.php/AAAI/article/view/29654) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29654/31113) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29654/31114) | | | [Explaining Generalization Power of a DNN Using Interactive Concepts](https://ojs.aaai.org/index.php/AAAI/article/view/29655) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29655/31115) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29655/31116) | | | [Token-Level Contrastive Learning with Modality-Aware Prompting for Multimodal Intent Recognition](https://ojs.aaai.org/index.php/AAAI/article/view/29656) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29656/31117) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29656/31118) | | | [On the Robustness of Neural-Enhanced Video Streaming against Adversarial Attacks](https://ojs.aaai.org/index.php/AAAI/article/view/29657) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29657/31119) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29657/31120) | | | [Generalizable Task Representation Learning for Offline Meta-Reinforcement Learning with Data Limitations](https://ojs.aaai.org/index.php/AAAI/article/view/29658) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29658/31121) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29658/31122) | | | [Federated Label-Noise Learning with Local Diversity Product Regularization](https://ojs.aaai.org/index.php/AAAI/article/view/29659) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29659/31123) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29659/31124) | | | [Abstract and Explore: A Novel Behavioral Metric with Cyclic Dynamics in Reinforcement Learning](https://ojs.aaai.org/index.php/AAAI/article/view/29660) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29660/31125) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29660/31126) | | | [Adaptive Meta-Learning Probabilistic Inference Framework for Long Sequence Prediction](https://ojs.aaai.org/index.php/AAAI/article/view/29661) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29661/31127) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29661/31128) | | | [Towards the Disappearing Truth: Fine-Grained Joint Causal Influences Learning with Hidden Variable-Driven Causal Hypergraphs in Time Series](https://ojs.aaai.org/index.php/AAAI/article/view/29662) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29662/31129) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29662/31130) | | | [Contrastive Balancing Representation Learning for Heterogeneous Dose-Response Curves Estimation](https://ojs.aaai.org/index.php/AAAI/article/view/29663) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29663/31131) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29663/31132) | | | [Every Node Is Different: Dynamically Fusing Self-Supervised Tasks for Attributed Graph Clustering](https://ojs.aaai.org/index.php/AAAI/article/view/29664) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29664/31133) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29664/31134) | | | [Double Buffers CEM-TD3: More Efficient Evolution and Richer Exploration](https://ojs.aaai.org/index.php/AAAI/article/view/29665) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29665/31135) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29665/31136) | | | [Decoding Global Preferences: Temporal and Cooperative Dependency Modeling in Multi-Agent Preference-Based Reinforcement Learning](https://ojs.aaai.org/index.php/AAAI/article/view/29666) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29666/31137) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29666/31138) | | | [Detection and Defense of Unlearnable Examples](https://ojs.aaai.org/index.php/AAAI/article/view/29667) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29667/31139) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29667/31140) | | | [Robust Node Classification on Graph Data with Graph and Label Noise](https://ojs.aaai.org/index.php/AAAI/article/view/29668) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29668/31141) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29668/31142) | | | [MFABA: A More Faithful and Accelerated Boundary-Based Attribution Method for Deep Neural Networks](https://ojs.aaai.org/index.php/AAAI/article/view/29669) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29669/31143) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29669/31144) | | | [DS-AL: A Dual-Stream Analytic Learning for Exemplar-Free Class-Incremental Learning](https://ojs.aaai.org/index.php/AAAI/article/view/29670) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29670/31145) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29670/31146) | | | [Patch-Aware Sample Selection for Efficient Masked Image Modeling](https://ojs.aaai.org/index.php/AAAI/article/view/29671) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29671/31147) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29671/31148) | | | [Dirichlet-Based Prediction Calibration for Learning with Noisy Labels](https://ojs.aaai.org/index.php/AAAI/article/view/29672) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29672/31149) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29672/31150) | | | [Coverage-Guaranteed Prediction Sets for Out-of-Distribution Data](https://ojs.aaai.org/index.php/AAAI/article/view/29673) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29673/31151) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29673/31152) | | | [Generalization Analysis of Machine Learning Algorithms via the Worst-Case Data-Generating Probability Measure](https://ojs.aaai.org/index.php/AAAI/article/view/29674) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29674/31153) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29674/31154) | | | [Probabilistic Neural Circuits](https://ojs.aaai.org/index.php/AAAI/article/view/29675) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29675/31155) | | ================================================ FILE: sections/2024/main/multiagent_systems.md ================================================ # AAAI-2024-Papers
Application App
## Multiagent Systems ![Section Papers](https://img.shields.io/badge/Section%20Papers-39-42BA16) ![Preprint Papers](https://img.shields.io/badge/Preprint%20Papers-soon-b31b1b) ![Papers with Open Code](https://img.shields.io/badge/Papers%20with%20Open%20Code-soon-1D7FBF) ![Papers with Video](https://img.shields.io/badge/Papers%20with%20Video-soon-FF0000) | :id: | **Title** | **Repo** | **Paper** | **Video** | |------|-----------|:--------:|:---------:|:---------:| | | [Improved Anonymous Multi-Agent Path Finding Algorithm](https://ojs.aaai.org/index.php/AAAI/article/view/29676) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29676/31156) | | | | [Cautiously-Optimistic Knowledge Sharing for Cooperative Multi-Agent Reinforcement Learning](https://ojs.aaai.org/index.php/AAAI/article/view/29677) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29677/31157) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29677/31158) | | | [Natural Strategic Ability in Stochastic Multi-Agent Systems](https://ojs.aaai.org/index.php/AAAI/article/view/29678) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29678/31159) | | | | [On Alternating-Time Temporal Logic, Hyperproperties, and Strategy Sharing](https://ojs.aaai.org/index.php/AAAI/article/view/29679) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29679/31160) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29679/31161) | | | [RGMComm: Return Gap Minimization via Discrete Communications in Multi-Agent Reinforcement Learning](https://ojs.aaai.org/index.php/AAAI/article/view/29680) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29680/31162) | | | | [STAS: Spatial-Temporal Return Decomposition for Solving Sparse Rewards Problems in Multi-agent Reinforcement Learning](https://ojs.aaai.org/index.php/AAAI/article/view/29681) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29681/31163) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29681/31164) | | | [Learning Efficient and Robust Multi-Agent Communication via Graph Information Bottleneck](https://ojs.aaai.org/index.php/AAAI/article/view/29682) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29682/31165) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29682/31166) | | | [Expressive Multi-Agent Communication via Identity-Aware Learning](https://ojs.aaai.org/index.php/AAAI/article/view/29683) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29683/31167) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29683/31168) | | | [Situation-Dependent Causal Influence-Based Cooperative Multi-Agent Reinforcement Learning](https://ojs.aaai.org/index.php/AAAI/article/view/29684) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29684/31169) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29684/31170) | | | [Learning Multi-Object Positional Relationships via Emergent Communication](https://ojs.aaai.org/index.php/AAAI/article/view/29685) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29685/31171) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29685/31172) | | | [Exact Algorithms and Lowerbounds for Multiagent Path Finding: Power of Treelike Topology](https://ojs.aaai.org/index.php/AAAI/article/view/29686) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29686/31173) | | | | [The Irrelevance of Influencers: Information Diffusion with Re-Activation and Immunity Lasts Exponentially Long on Social Network Models](https://ojs.aaai.org/index.php/AAAI/article/view/29687) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29687/31174) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29687/31175) | | | [Memory Asymmetry Creates Heteroclinic Orbits to Nash Equilibrium in Learning in Zero-Sum Games](https://ojs.aaai.org/index.php/AAAI/article/view/29688) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29688/31176) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29688/31177) | | | [Factored Online Planning in Many-Agent POMDPs](https://ojs.aaai.org/index.php/AAAI/article/view/29689) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29689/31178) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29689/31179) | | | [Foundations of Reactive Synthesis for Declarative Process Specifications](https://ojs.aaai.org/index.php/AAAI/article/view/29690) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29690/31180) | | | | [Learning in Online Principal-Agent Interactions: The Power of Menus](https://ojs.aaai.org/index.php/AAAI/article/view/29691) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29691/31181) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29691/31182) | | | [Stability of Multi-Agent Learning in Competitive Networks: Delaying the Onset of Chaos](https://ojs.aaai.org/index.php/AAAI/article/view/29692) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29692/31183) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29692/31184) | | | [Settling Decentralized Multi-Agent Coordinated Exploration by Novelty Sharing](https://ojs.aaai.org/index.php/AAAI/article/view/29693) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29693/31185) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29693/31186) | | | [Optimistic Value Instructors for Cooperative Multi-Agent Reinforcement Learning](https://ojs.aaai.org/index.php/AAAI/article/view/29694) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29694/31187) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29694/31188) | | | [ConcaveQ: Non-monotonic Value Function Factorization via Concave Representations in Deep Multi-Agent Reinforcement Learning](https://ojs.aaai.org/index.php/AAAI/article/view/29695) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29695/31189) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29695/31190) | | | [Transition-Informed Reinforcement Learning for Large-Scale Stackelberg Mean-Field Games](https://ojs.aaai.org/index.php/AAAI/article/view/29696) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29696/31191) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29696/31192) | | | [Decentralized Gradient-Free Methods for Stochastic Non-smooth Non-convex Optimization](https://ojs.aaai.org/index.php/AAAI/article/view/29697) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29697/31193) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29697/31194) | | | [Imagine, Initialize, and Explore: An Effective Exploration Method in Multi-Agent Reinforcement Learning](https://ojs.aaai.org/index.php/AAAI/article/view/29698) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29698/31195) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29698/31196) | | | [TAPE: Leveraging Agent Topology for Cooperative Multi-Agent Policy Gradient](https://ojs.aaai.org/index.php/AAAI/article/view/29699) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29699/31197) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29699/31198) | | | [PMAC: Personalized Multi-Agent Communication](https://ojs.aaai.org/index.php/AAAI/article/view/29700) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29700/31199) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29700/31200) | | | [Adaptive Anytime Multi-Agent Path Finding Using Bandit-Based Large Neighborhood Search](https://ojs.aaai.org/index.php/AAAI/article/view/29701) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29701/31201) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29701/31202) | | | [Minimum Coverage Sets for Training Robust Ad Hoc Teamwork Agents](https://ojs.aaai.org/index.php/AAAI/article/view/29702) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29702/31203) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29702/31204) | | | [Decentralized Monte Carlo Tree Search for Partially Observable Multi-Agent Pathfinding](https://ojs.aaai.org/index.php/AAAI/article/view/29703) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29703/31205) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29703/31206) | | | [Learn to Follow: Decentralized Lifelong Multi-Agent Pathfinding via Planning and Learning](https://ojs.aaai.org/index.php/AAAI/article/view/29704) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29704/31207) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29704/31208) | | | [What Makes Good Collaborative Views? Contrastive Mutual Information Maximization for Multi-Agent Perception](https://ojs.aaai.org/index.php/AAAI/article/view/29705) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29705/31209) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29705/31210) | | | [Bidirectional Temporal Plan Graph: Enabling Switchable Passing Orders for More Efficient Multi-Agent Path Finding Plan Execution](https://ojs.aaai.org/index.php/AAAI/article/view/29706) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29706/31211) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29706/31212) | | | [Large-Scale Multi-Robot Coverage Path Planning via Local Search](https://ojs.aaai.org/index.php/AAAI/article/view/29707) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29707/31213) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29707/31214) | | | [Robust Communicative Multi-Agent Reinforcement Learning with Active Defense](https://ojs.aaai.org/index.php/AAAI/article/view/29708) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29708/31215) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29708/31216) | | | [Leveraging Partial Symmetry for Multi-Agent Reinforcement Learning](https://ojs.aaai.org/index.php/AAAI/article/view/29709) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29709/31217) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29709/31218) | | | [ProAgent: Building Proactive Cooperative Agents with Large Language Models](https://ojs.aaai.org/index.php/AAAI/article/view/29710) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29710/31219) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29710/31220) | | | [Intrinsic Action Tendency Consistency for Cooperative Multi-Agent Reinforcement Learning](https://ojs.aaai.org/index.php/AAAI/article/view/29711) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29711/31221) | | | | [Emergent Communication for Numerical Concepts Generalization](https://ojs.aaai.org/index.php/AAAI/article/view/29712) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29712/31222) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29712/31223) | | | [Decomposing Temporal Equilibrium Strategy for Coordinated Distributed Multi-Agent Reinforcement Learning](https://ojs.aaai.org/index.php/AAAI/article/view/29713) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29713/31224) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29713/31225) | | | [Balancing Humans and Machines: A Study on Integration Scale and Its Impact on Collaborative Performance](https://ojs.aaai.org/index.php/AAAI/article/view/29714) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29714/31226) | | ================================================ FILE: sections/2024/main/natural_language_processing.md ================================================ # AAAI-2024-Papers
Application App
## Natural Language Processing ![Section Papers](https://img.shields.io/badge/Section%20Papers-240-42BA16) ![Preprint Papers](https://img.shields.io/badge/Preprint%20Papers-soon-b31b1b) ![Papers with Open Code](https://img.shields.io/badge/Papers%20with%20Open%20Code-soon-1D7FBF) ![Papers with Video](https://img.shields.io/badge/Papers%20with%20Video-soon-FF0000) | :id: | **Title** | **Repo** | **Paper** | **Video** | |------|-----------|:--------:|:---------:|:---------:| | | [Frame Semantic Role Labeling Using Arbitrary-Order Conditional Random Fields](https://ojs.aaai.org/index.php/AAAI/article/view/29715) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29715/31227) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29715/31228) | | | [DTF-AT: Decoupled Time-Frequency Audio Transformer for Event Classification](https://ojs.aaai.org/index.php/AAAI/article/view/29716) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29716/31229) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29716/31230) | | | [WikiSQE: A Large-Scale Dataset for Sentence Quality Estimation in Wikipedia](https://ojs.aaai.org/index.php/AAAI/article/view/29717) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29717/31231) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29717/31232) | | | [Beyond Grounding: Extracting Fine-Grained Event Hierarchies across Modalities](https://ojs.aaai.org/index.php/AAAI/article/view/29718) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29718/31233) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29718/31234) | | | [All Should Be Equal in the Eyes of LMs: Counterfactually Aware Fair Text Generation](https://ojs.aaai.org/index.php/AAAI/article/view/29719) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29719/31235) | | | | [Graph of Thoughts: Solving Elaborate Problems with Large Language Models](https://ojs.aaai.org/index.php/AAAI/article/view/29720) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29720/31236) | | | | [When Do Program-of-Thought Works for Reasoning?](https://ojs.aaai.org/index.php/AAAI/article/view/29721) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29721/31237) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29721/31238) | | | [Beyond Attention: Breaking the Limits of Transformer Context Length with Recurrent Memory](https://ojs.aaai.org/index.php/AAAI/article/view/29722) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29722/31239) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29722/31240) | | | [MedBench: A Large-Scale Chinese Benchmark for Evaluating Medical Large Language Models](https://ojs.aaai.org/index.php/AAAI/article/view/29723) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29723/31241) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29723/31242) | | | [CAR-Transformer: Cross-Attention Reinforcement Transformer for Cross-Lingual Summarization](https://ojs.aaai.org/index.php/AAAI/article/view/29724) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29724/31243) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29724/31244) | | | [Compositional Generalization for Multi-Label Text Classification: A Data-Augmentation 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Models](https://ojs.aaai.org/index.php/AAAI/article/view/29934) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29934/31632) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29934/31633) | | | [Coreference Graph Guidance for Mind-Map Generation](https://ojs.aaai.org/index.php/AAAI/article/view/29935) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29935/31634) | | | | [ExpeL: LLM Agents Are Experiential Learners](https://ojs.aaai.org/index.php/AAAI/article/view/29936) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29936/31635) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29936/31636) | | | [Conditional Variational Autoencoder for Sign Language Translation with Cross-Modal Alignment](https://ojs.aaai.org/index.php/AAAI/article/view/29937) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29937/31637) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29937/31638) | | | [Graph Reasoning Transformers for Knowledge-Aware Question Answering](https://ojs.aaai.org/index.php/AAAI/article/view/29938) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29938/31639) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29938/31640) | | | [MultiSum: A Multi-Facet Approach for Extractive Social Summarization Utilizing Semantic and Sociological Relationships](https://ojs.aaai.org/index.php/AAAI/article/view/29939) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29939/31641) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29939/31642) | | | [QPEN: Quantum Projection and Quantum Entanglement Enhanced Network for Cross-Lingual Aspect-Based Sentiment Analysis](https://ojs.aaai.org/index.php/AAAI/article/view/29940) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29940/31643) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29940/31644) | | | [SENCR: A Span Enhanced Two-Stage Network with Counterfactual Rethinking for Chinese NER](https://ojs.aaai.org/index.php/AAAI/article/view/29941) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29941/31645) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29941/31646) | | | [Reverse Multi-Choice Dialogue Commonsense Inference with Graph-of-Thought](https://ojs.aaai.org/index.php/AAAI/article/view/29942) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29942/31647) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29942/31648) | | | [FT-GAN: Fine-Grained Tune Modeling for Chinese Opera Synthesis](https://ojs.aaai.org/index.php/AAAI/article/view/29943) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29943/31649) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29943/31650) | | | [Layer-Wise Representation Fusion for Compositional Generalization](https://ojs.aaai.org/index.php/AAAI/article/view/29944) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29944/31651) | | | | [You Only Read Once: Constituency-Oriented Relational Graph Convolutional Network for Multi-Aspect Multi-Sentiment Classification](https://ojs.aaai.org/index.php/AAAI/article/view/29945) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29945/31652) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29945/31653) | | | [MemoryBank: Enhancing Large Language Models with Long-Term Memory](https://ojs.aaai.org/index.php/AAAI/article/view/29946) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29946/31654) | | | | [Fine-Grained Distillation for Long Document Retrieval](https://ojs.aaai.org/index.php/AAAI/article/view/29947) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29947/31655) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29947/31656) | | | [Quantifying and Analyzing Entity-Level Memorization in Large Language Models](https://ojs.aaai.org/index.php/AAAI/article/view/29948) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29948/31657) | | | | [MathAttack: Attacking Large Language Models towards Math Solving Ability](https://ojs.aaai.org/index.php/AAAI/article/view/29949) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29949/31658) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29949/31659) | | | [LimeAttack: Local Explainable Method for Textual Hard-Label Adversarial Attack](https://ojs.aaai.org/index.php/AAAI/article/view/29950) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29950/31660) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29950/31661) | | | [Multichannel AV-wav2vec2: A Framework for Learning Multichannel Multi-Modal Speech Representation](https://ojs.aaai.org/index.php/AAAI/article/view/29951) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29951/31662) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29951/31663) | | | [Aligner²: Enhancing Joint Multiple Intent Detection and Slot Filling via Adjustive and Forced Cross-Task Alignment](https://ojs.aaai.org/index.php/AAAI/article/view/29952) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29952/31664) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29952/31665) | | | [Towards Explainable Joint Models via Information Theory for Multiple Intent Detection and Slot Filling](https://ojs.aaai.org/index.php/AAAI/article/view/29953) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29953/31666) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29953/31667) | | | [Video-Context Aligned Transformer for Video Question Answering](https://ojs.aaai.org/index.php/AAAI/article/view/29954) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29954/31668) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29954/31669) | ================================================ FILE: sections/2024/main/philosophy_and_ethics_of_ai.md ================================================ # AAAI-2024-Papers
Application App
## Philosophy and Ethics of AI ![Section Papers](https://img.shields.io/badge/Section%20Papers-24-42BA16) ![Preprint Papers](https://img.shields.io/badge/Preprint%20Papers-soon-b31b1b) ![Papers with Open Code](https://img.shields.io/badge/Papers%20with%20Open%20Code-soon-1D7FBF) ![Papers with Video](https://img.shields.io/badge/Papers%20with%20Video-soon-FF0000) | :id: | **Title** | **Repo** | **Paper** | **Video** | |------|-----------|:--------:|:---------:|:---------:| | | [Quality-Diversity Generative Sampling for Learning with Synthetic Data](https://ojs.aaai.org/index.php/AAAI/article/view/29955) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29955/31670) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29955/31671) | | | [A Cross-View Hierarchical Graph Learning Hypernetwork for Skill Demand-Supply Joint Prediction](https://ojs.aaai.org/index.php/AAAI/article/view/29956) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29956/31672) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29956/31673) | | | [Conditional Backdoor Attack via JPEG Compression](https://ojs.aaai.org/index.php/AAAI/article/view/29957) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29957/31674) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29957/31675) | | | [Complementary Knowledge Distillation for Robust and Privacy-Preserving Model Serving in Vertical Federated Learning](https://ojs.aaai.org/index.php/AAAI/article/view/29958) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29958/31676) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29958/31677) | | | [Resource Democratization: Is Compute the Binding Constraint on AI Research?](https://ojs.aaai.org/index.php/AAAI/article/view/29959) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29959/31678) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29959/31679) | | | [How to Overcome Curse-of-Dimensionality for Out-of-Distribution Detection?](https://ojs.aaai.org/index.php/AAAI/article/view/29960) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29960/31680) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29960/31681) | | | [Exploiting Discrepancy in Feature Statistic for Out-of-Distribution Detection](https://ojs.aaai.org/index.php/AAAI/article/view/29961) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29961/31682) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29961/31683) | | | [Reward Penalties on Augmented States for Solving Richly Constrained RL Effectively](https://ojs.aaai.org/index.php/AAAI/article/view/29962) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29962/31684) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29962/31685) | | | [The Logic of Doxastic Strategies](https://ojs.aaai.org/index.php/AAAI/article/view/29963) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29963/31686) | | | | [MERGE: Fast Private Text Generation](https://ojs.aaai.org/index.php/AAAI/article/view/29964) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29964/31687) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29964/31688) | | | [Does Few-Shot Learning Suffer from Backdoor Attacks?](https://ojs.aaai.org/index.php/AAAI/article/view/29965) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29965/31689) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29965/31690) | | | [Towards Model Extraction Attacks in GAN-Based Image Translation via Domain Shift Mitigation](https://ojs.aaai.org/index.php/AAAI/article/view/29966) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29966/31691) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29966/31692) | | | [Towards the Robustness of Differentially Private Federated Learning](https://ojs.aaai.org/index.php/AAAI/article/view/29967) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29967/31693) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29967/31694) | | | [Responsibility in Extensive Form Games](https://ojs.aaai.org/index.php/AAAI/article/view/29968) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29968/31695) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29968/31696) | | | [Towards Fairness in Online Service with K Servers and Its Application on Fair Food Delivery](https://ojs.aaai.org/index.php/AAAI/article/view/29969) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29969/31697) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29969/31698) | | | [Value Kaleidoscope: Engaging AI with Pluralistic Human Values, Rights, and Duties](https://ojs.aaai.org/index.php/AAAI/article/view/29970) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29970/31699) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29970/31700) | | | [Moral Uncertainty and the Problem of Fanaticism](https://ojs.aaai.org/index.php/AAAI/article/view/29971) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29971/31701) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29971/31702) | | | [U-trustworthy Models. Reliability, Competence, and Confidence in Decision-Making](https://ojs.aaai.org/index.php/AAAI/article/view/29972) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29972/31703) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29972/31704) | | | [TraceEvader: Making DeepFakes More Untraceable via Evading the Forgery Model Attribution](https://ojs.aaai.org/index.php/AAAI/article/view/29973) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29973/31705) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29973/31706) | | | [SAME: Sample Reconstruction against Model Extraction Attacks](https://ojs.aaai.org/index.php/AAAI/article/view/29974) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29974/31707) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29974/31708) | | | [High-Fidelity Gradient Inversion in Distributed Learning](https://ojs.aaai.org/index.php/AAAI/article/view/29975) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29975/31709) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29975/31710) | | | [Robustness Verification of Deep Reinforcement Learning Based Control Systems Using Reward Martingales](https://ojs.aaai.org/index.php/AAAI/article/view/29976) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29976/31711) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29976/31712) | | | [Regulating AI: Applying Insights from Behavioural Economics and Psychology to the Application of Article 5 of the EU AI Act](https://ojs.aaai.org/index.php/AAAI/article/view/29977) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29977/31713) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29977/31714) | | | [Batch Normalization Is Blind to the First and Second Derivatives of the Loss](https://ojs.aaai.org/index.php/AAAI/article/view/29978) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29978/31715) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29978/31716) | ================================================ FILE: sections/2024/main/planning_routing_and_scheduling.md ================================================ # AAAI-2024-Papers
Application App
## Planning, Routing, and Scheduling ![Section Papers](https://img.shields.io/badge/Section%20Papers-31-42BA16) ![Preprint Papers](https://img.shields.io/badge/Preprint%20Papers-soon-b31b1b) ![Papers with Open Code](https://img.shields.io/badge/Papers%20with%20Open%20Code-soon-1D7FBF) ![Papers with Video](https://img.shields.io/badge/Papers%20with%20Video-soon-FF0000) | :id: | **Title** | **Repo** | **Paper** | **Video** | |------|-----------|:--------:|:---------:|:---------:| | | [Learning Planning Domains from Non-redundant Fully-Observed Traces: Theoretical Foundations and Complexity Analysis](https://ojs.aaai.org/index.php/AAAI/article/view/29980) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29980/31719) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29980/31720) | | | [Dealing with Numeric and Metric Time Constraints in PDDL3 via Compilation to Numeric Planning](https://ojs.aaai.org/index.php/AAAI/article/view/29981) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29981/31721) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29981/31722) | | | [The Complexity of Optimizing Atomic Congestion](https://ojs.aaai.org/index.php/AAAI/article/view/29982) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29982/31723) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29982/31724) | | | [Stop! Planner Time: Metareasoning for Probabilistic Planning Using Learned Performance Profiles](https://ojs.aaai.org/index.php/AAAI/article/view/29983) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29983/31725) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29983/31726) | | | [Can LLMs Fix Issues with Reasoning Models? Towards More Likely Models for AI Planning](https://ojs.aaai.org/index.php/AAAI/article/view/29984) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29984/31727) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29984/31728) | | | [Symbolic Numeric Planning with Patterns](https://ojs.aaai.org/index.php/AAAI/article/view/29985) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29985/31729) | | | | [Learning Domain-Independent Heuristics for Grounded and Lifted Planning](https://ojs.aaai.org/index.php/AAAI/article/view/29986) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29986/31730) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29986/31731) | | | [Approximate Distance Oracle for Fault-Tolerant Geometric Spanners](https://ojs.aaai.org/index.php/AAAI/article/view/29987) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29987/31732) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29987/31733) | | | [Optimizing the Optimization of Planning Domains by Automatic Action Schema Splitting](https://ojs.aaai.org/index.php/AAAI/article/view/29988) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29988/31734) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29988/31735) | | | [An Effective Polynomial Technique for Compiling Conditional Effects Away](https://ojs.aaai.org/index.php/AAAI/article/view/29989) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29989/31736) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29989/31737) | | | [GOALNET: Interleaving Neural Goal Predicate Inference with Classical Planning for Generalization in Robot Instruction Following](https://ojs.aaai.org/index.php/AAAI/article/view/29990) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29990/31738) | | | | [SayCanPay: Heuristic Planning with Large Language Models Using Learnable Domain Knowledge](https://ojs.aaai.org/index.php/AAAI/article/view/29991) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29991/31739) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29991/31740) | | | [A Surprisingly Simple Continuous-Action POMDP Solver: Lazy Cross-Entropy Search Over Policy Trees](https://ojs.aaai.org/index.php/AAAI/article/view/29992) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29992/31741) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29992/31742) | | | [Optimizing Local Satisfaction of Long-Run Average Objectives in Markov Decision Processes](https://ojs.aaai.org/index.php/AAAI/article/view/29993) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29993/31743) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29993/31744) | | | [Monte Carlo Tree Search in the Presence of Transition Uncertainty](https://ojs.aaai.org/index.php/AAAI/article/view/29994) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29994/31745) | | | | [Learning Safe Action Models with Partial Observability](https://ojs.aaai.org/index.php/AAAI/article/view/29995) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29995/31746) | | | | [Generalized Planning for the Abstraction and Reasoning Corpus](https://ojs.aaai.org/index.php/AAAI/article/view/29996) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29996/31747) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29996/31748) | | | [Simplifying Complex Observation Models in Continuous POMDP Planning with Probabilistic Guarantees and Practice](https://ojs.aaai.org/index.php/AAAI/article/view/29997) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29997/31749) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29997/31750) | | | [Learning to Optimize Permutation Flow Shop Scheduling via Graph-Based Imitation Learning](https://ojs.aaai.org/index.php/AAAI/article/view/29998) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29998/31751) | | | | [NaRuto: Automatically Acquiring Planning Models from Narrative Texts](https://ojs.aaai.org/index.php/AAAI/article/view/29999) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/29999/31752) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/29999/31753) | | | [On the Computational Complexity of Plan Verification, (Bounded) Plan-Optimality Verification, and Bounded Plan Existence](https://ojs.aaai.org/index.php/AAAI/article/view/30000) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30000/31754) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/30000/31755) | | | [PRP Rebooted: Advancing the State of the Art in FOND Planning](https://ojs.aaai.org/index.php/AAAI/article/view/30001) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30001/31756) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/30001/31757) | | | [Abstract Action Scheduling for Optimal Temporal Planning via OMT](https://ojs.aaai.org/index.php/AAAI/article/view/30002) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30002/31758) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/30002/31759) | | | [Generalising Planning Environment Redesign](https://ojs.aaai.org/index.php/AAAI/article/view/30003) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30003/31760) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/30003/31761) | | | [When CEGAR Meets Regression: A Love Story in Optimal Classical Planning](https://ojs.aaai.org/index.php/AAAI/article/view/30004) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30004/31762) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/30004/31763) | | | [Efficient Constraint Generation for Stochastic Shortest Path Problems](https://ojs.aaai.org/index.php/AAAI/article/view/30005) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30005/31764) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/30005/31765) | | | [Generalized Planning in PDDL Domains with Pretrained Large Language Models](https://ojs.aaai.org/index.php/AAAI/article/view/30006) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30006/31766) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/30006/31767) | | | [Equity-Transformer: Solving NP-Hard Min-Max Routing Problems as Sequential Generation with Equity Context](https://ojs.aaai.org/index.php/AAAI/article/view/30007) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30007/31768) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/30007/31769) | | | [Distilling Autoregressive Models to Obtain High-Performance Non-autoregressive Solvers for Vehicle Routing Problems with Faster Inference Speed](https://ojs.aaai.org/index.php/AAAI/article/view/30008) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30008/31770) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/30008/31771) | | | [GLOP: Learning Global Partition and Local Construction for Solving Large-Scale Routing Problems in Real-Time](https://ojs.aaai.org/index.php/AAAI/article/view/30009) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30009/31772) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/30009/31773) | | | [Learning-Augmented Online Algorithm for Two-Level Ski-Rental Problem](https://ojs.aaai.org/index.php/AAAI/article/view/30010) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30010/31774) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/30010/31775) | ================================================ FILE: sections/2024/main/reasoning_under_uncertainty.md ================================================ # AAAI-2024-Papers
Application App
## Reasoning under Uncertainty ![Section Papers](https://img.shields.io/badge/Section%20Papers-37-42BA16) ![Preprint Papers](https://img.shields.io/badge/Preprint%20Papers-soon-b31b1b) ![Papers with Open Code](https://img.shields.io/badge/Papers%20with%20Open%20Code-soon-1D7FBF) ![Papers with Video](https://img.shields.io/badge/Papers%20with%20Video-soon-FF0000) | :id: | **Title** | **Repo** | **Paper** | **Video** | |------|-----------|:--------:|:---------:|:---------:| | | [s-ID: Causal Effect Identification in a Sub-population](https://ojs.aaai.org/index.php/AAAI/article/view/30011) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30011/31776) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/30011/31777) | | | [On Estimating the Gradient of the Expected Information Gain in Bayesian Experimental Design](https://ojs.aaai.org/index.php/AAAI/article/view/30012) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30012/31778) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/30012/31779) | | | [Backward Responsibility in Transition Systems Using General Power Indices](https://ojs.aaai.org/index.php/AAAI/article/view/30013) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30013/31780) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/30013/31781) | | | [The Expected Loss of Preconditioned Langevin Dynamics Reveals the Hessian Rank](https://ojs.aaai.org/index.php/AAAI/article/view/30014) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30014/31782) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/30014/31783) | | | [Pandora’s Problem with Deadlines](https://ojs.aaai.org/index.php/AAAI/article/view/30015) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30015/31784) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/30015/31785) | | | [Minibatch Stochastic Three Points Method for Unconstrained Smooth Minimization](https://ojs.aaai.org/index.php/AAAI/article/view/30016) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30016/31786) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/30016/31787) | | | [Identification of Causal Structure with Latent Variables Based on Higher Order Cumulants](https://ojs.aaai.org/index.php/AAAI/article/view/30017) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30017/31788) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/30017/31789) | | | [Direct Amortized Likelihood Ratio Estimation](https://ojs.aaai.org/index.php/AAAI/article/view/30018) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30018/31790) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/30018/31791) | | | [Probabilistic Offline Policy Ranking with Approximate Bayesian Computation](https://ojs.aaai.org/index.php/AAAI/article/view/30019) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30019/31792) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/30019/31793) | | | [Generalized Bradley-Terry Models for Score Estimation from Paired Comparisons](https://ojs.aaai.org/index.php/AAAI/article/view/30020) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30020/31794) | | | | [Identifiability of Direct Effects from Summary Causal Graphs](https://ojs.aaai.org/index.php/AAAI/article/view/30021) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30021/31795) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/30021/31796) | | | [Model Counting and Sampling via Semiring Extensions](https://ojs.aaai.org/index.php/AAAI/article/view/30022) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30022/31797) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/30022/31798) | | | [Identification for Tree-Shaped Structural Causal Models in Polynomial Time](https://ojs.aaai.org/index.php/AAAI/article/view/30023) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30023/31799) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/30023/31800) | | | [Learning GAI-Decomposable Utility Models for Multiattribute Decision Making](https://ojs.aaai.org/index.php/AAAI/article/view/30024) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30024/31801) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/30024/31802) | | | [Uncertainty Quantification in Heterogeneous Treatment Effect Estimation with Gaussian-Process-Based Partially Linear Model](https://ojs.aaai.org/index.php/AAAI/article/view/30025) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30025/31803) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/30025/31804) | | | [Learning Diffusions under Uncertainty](https://ojs.aaai.org/index.php/AAAI/article/view/30026) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30026/31805) | | | | [Robustly Improving Bandit Algorithms with Confounded and Selection Biased Offline Data: A Causal Approach](https://ojs.aaai.org/index.php/AAAI/article/view/30027) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30027/31806) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/30027/31807) | | | [Effectiveness of Constant Stepsize in Markovian LSA and Statistical Inference](https://ojs.aaai.org/index.php/AAAI/article/view/30028) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30028/31808) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/30028/31809) | | | [Piecewise Linear Transformation – Propagating Aleatoric Uncertainty in Neural Networks](https://ojs.aaai.org/index.php/AAAI/article/view/30029) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30029/31810) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/30029/31811) | | | [Probabilities of Causation with Nonbinary Treatment and Effect](https://ojs.aaai.org/index.php/AAAI/article/view/30030) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30030/31812) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/30030/31813) | | | [Unit Selection with Nonbinary Treatment and Effect](https://ojs.aaai.org/index.php/AAAI/article/view/30031) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30031/31814) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/30031/31815) | | | [Solving Satisfiability Modulo Counting for Symbolic and Statistical AI Integration with Provable Guarantees](https://ojs.aaai.org/index.php/AAAI/article/view/30032) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30032/31816) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/30032/31817) | | | [TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event Sequences](https://ojs.aaai.org/index.php/AAAI/article/view/30033) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30033/31818) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/30033/31819) | | | [Colour Passing Revisited: Lifted Model Construction with Commutative Factors](https://ojs.aaai.org/index.php/AAAI/article/view/30034) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30034/31820) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/30034/31821) | | | [Root Cause Explanation of Outliers under Noisy Mechanisms](https://ojs.aaai.org/index.php/AAAI/article/view/30035) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30035/31822) | | | | [Identification of Causal Structure in the Presence of Missing Data with Additive Noise Model](https://ojs.aaai.org/index.php/AAAI/article/view/30036) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30036/31823) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/30036/31824) | | | [Causal Discovery from Poisson Branching Structural Causal Model Using High-Order Cumulant with Path Analysis](https://ojs.aaai.org/index.php/AAAI/article/view/30037) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30037/31825) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/30037/31826) | | | [A Fixed-Parameter Tractable Algorithm for Counting Markov Equivalence Classes with the Same Skeleton](https://ojs.aaai.org/index.php/AAAI/article/view/30038) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30038/31827) | | | | [Learning Bayesian Network Classifiers to Minimize the Class Variable Parameters](https://ojs.aaai.org/index.php/AAAI/article/view/30039) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30039/31828) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/30039/31829) | | | [Bayesian Inference with Complex Knowledge Graph Evidence](https://ojs.aaai.org/index.php/AAAI/article/view/30040) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30040/31830) | | | | [Exact, Fast and Expressive Poisson Point Processes via Squared Neural Families](https://ojs.aaai.org/index.php/AAAI/article/view/30041) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30041/31831) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/30041/31832) | | | [Inference and Learning in Dynamic Decision Networks Using Knowledge Compilation](https://ojs.aaai.org/index.php/AAAI/article/view/30042) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30042/31833) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/30042/31834) | | | [Linear-Time Algorithms for Front-Door Adjustment in Causal Graphs](https://ojs.aaai.org/index.php/AAAI/article/view/30043) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30043/31835) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/30043/31836) | | | [Neural Causal Abstractions](https://ojs.aaai.org/index.php/AAAI/article/view/30044) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30044/31837) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/30044/31838) | | | [Federated Contextual Cascading Bandits with Asynchronous Communication and Heterogeneous Users](https://ojs.aaai.org/index.php/AAAI/article/view/30045) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30045/31839) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/30045/31840) | | | [Causal-Driven Skill Prerequisite Structure Discovery](https://ojs.aaai.org/index.php/AAAI/article/view/30046) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30046/31841) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/30046/31842) | | | [Deep Copula-Based Survival Analysis for Dependent Censoring with Identifiability Guarantees](https://ojs.aaai.org/index.php/AAAI/article/view/30047) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30047/31843) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/30047/31844) | ================================================ FILE: sections/2024/main/safe_robust_and_responsible_ai.md ================================================ # AAAI-2024-Papers
Application App
## Safe, Robust and Responsible AI ![Section Papers](https://img.shields.io/badge/Section%20Papers-109-42BA16) ![Preprint Papers](https://img.shields.io/badge/Preprint%20Papers-soon-b31b1b) ![Papers with Open Code](https://img.shields.io/badge/Papers%20with%20Open%20Code-soon-1D7FBF) ![Papers with Video](https://img.shields.io/badge/Papers%20with%20Video-soon-FF0000) | :id: | **Title** | **Repo** | **Paper** | **Video** | |------|-----------|:--------:|:---------:|:---------:| | | [ImageCaptioner2: Image Captioner for Image Captioning Bias Amplification Assessment](https://ojs.aaai.org/index.php/AAAI/article/view/30080) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30080/31903) | | | | [A Framework for Data-Driven Explainability in Mathematical Optimization](https://ojs.aaai.org/index.php/AAAI/article/view/30081) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30081/31904) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/30081/31905) | | | [On the Importance of Application-Grounded Experimental Design for Evaluating Explainable ML Methods](https://ojs.aaai.org/index.php/AAAI/article/view/30082) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30082/31906) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/30082/31907) | | | [Risk-Aware Continuous Control with Neural Contextual Bandits](https://ojs.aaai.org/index.php/AAAI/article/view/30083) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30083/31908) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/30083/31909) | | | [Robust Uncertainty Quantification Using Conformalised Monte Carlo Prediction](https://ojs.aaai.org/index.php/AAAI/article/view/30084) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30084/31910) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/30084/31911) | | | [CCTR: Calibrating Trajectory Prediction for Uncertainty-Aware Motion Planning in Autonomous Driving](https://ojs.aaai.org/index.php/AAAI/article/view/30085) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30085/31912) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/30085/31913) | | | [Rethinking the Development of Large Language Models from the Causal Perspective: A Legal Text Prediction Case Study](https://ojs.aaai.org/index.php/AAAI/article/view/30086) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30086/31914) | | | | [Truth Forest: Toward Multi-Scale Truthfulness in Large Language Models through Intervention without Tuning](https://ojs.aaai.org/index.php/AAAI/article/view/30087) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30087/31915) | | | | [Constrained Meta-Reinforcement Learning for Adaptable Safety Guarantee with Differentiable Convex Programming](https://ojs.aaai.org/index.php/AAAI/article/view/30088) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30088/31916) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/30088/31917) | | | [Conformal Prediction Regions for Time Series Using Linear Complementarity Programming](https://ojs.aaai.org/index.php/AAAI/article/view/30089) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30089/31918) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/30089/31919) | | | [TTTS: Tree Test Time Simulation for Enhancing Decision Tree Robustness against 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[![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/30172/32081) | | | [Byzantine-Robust Decentralized Learning via Remove-then-Clip Aggregation](https://ojs.aaai.org/index.php/AAAI/article/view/30173) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30173/32082) | | | | [Hypothesis Testing for Class-Conditional Noise Using Local Maximum Likelihood](https://ojs.aaai.org/index.php/AAAI/article/view/30174) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30174/32083) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/30174/32084) | | | [Providing Fair Recourse over Plausible Groups](https://ojs.aaai.org/index.php/AAAI/article/view/30175) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30175/32085) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/30175/32086) | | | [Representation-Based Robustness in Goal-Conditioned Reinforcement Learning](https://ojs.aaai.org/index.php/AAAI/article/view/30176) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30176/32087) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/30176/32088) | | | [Enhancing Off-Policy Constrained Reinforcement Learning through Adaptive Ensemble C Estimation](https://ojs.aaai.org/index.php/AAAI/article/view/30177) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30177/32089) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/30177/32090) | | | [Efficient Toxic Content Detection by Bootstrapping and Distilling Large Language Models](https://ojs.aaai.org/index.php/AAAI/article/view/30178) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30178/32091) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/30178/32092) | | | [LR-XFL: Logical Reasoning-Based Explainable Federated Learning](https://ojs.aaai.org/index.php/AAAI/article/view/30179) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30179/32093) | | | | [GaLileo: General Linear Relaxation Framework for Tightening Robustness Certification of Transformers](https://ojs.aaai.org/index.php/AAAI/article/view/30180) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30180/32094) | | | | [A Huber Loss Minimization Approach to Byzantine Robust Federated Learning](https://ojs.aaai.org/index.php/AAAI/article/view/30181) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30181/32095) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/30181/32096) | | | [Responsible Bandit Learning via Privacy-Protected Mean-Volatility Utility](https://ojs.aaai.org/index.php/AAAI/article/view/30182) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30182/32097) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/30182/32098) | | | [UMA: Facilitating Backdoor Scanning via Unlearning-Based Model Ablation](https://ojs.aaai.org/index.php/AAAI/article/view/30183) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30183/32099) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/30183/32100) | | | [AdvST: Revisiting Data Augmentations for Single Domain Generalization](https://ojs.aaai.org/index.php/AAAI/article/view/30184) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30184/32101) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/30184/32102) | | | [Can LLM Replace Stack Overflow? A Study on Robustness and Reliability of Large Language Model Code Generation](https://ojs.aaai.org/index.php/AAAI/article/view/30185) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30185/32103) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/30185/32104) | | | [DataElixir: Purifying Poisoned Dataset to Mitigate Backdoor Attacks via Diffusion Models](https://ojs.aaai.org/index.php/AAAI/article/view/30186) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30186/32105) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/30186/32106) | | | [Closing the Gap: Achieving Better Accuracy-Robustness Tradeoffs against Query-Based Attacks](https://ojs.aaai.org/index.php/AAAI/article/view/30187) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30187/32107) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/30187/32108) | | | [Coevolutionary Algorithm for Building Robust Decision Trees under Minimax Regret](https://ojs.aaai.org/index.php/AAAI/article/view/30188) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30188/32109) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/30188/32110) | ================================================ FILE: sections/2024/main/search_and_optimization.md ================================================ # AAAI-2024-Papers
Application App
## Search and Optimization ![Section Papers](https://img.shields.io/badge/Section%20Papers-32-42BA16) ![Preprint Papers](https://img.shields.io/badge/Preprint%20Papers-soon-b31b1b) ![Papers with Open Code](https://img.shields.io/badge/Papers%20with%20Open%20Code-soon-1D7FBF) ![Papers with Video](https://img.shields.io/badge/Papers%20with%20Video-soon-FF0000) | :id: | **Title** | **Repo** | **Paper** | **Video** | |------|-----------|:--------:|:---------:|:---------:| | | [DOGE-Train: Discrete Optimization on GPU with End-to-End Training](https://ojs.aaai.org/index.php/AAAI/article/view/30048) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30048/31845) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/30048/31846) | | | [Delegation-Relegation for Boolean Matrix Factorization](https://ojs.aaai.org/index.php/AAAI/article/view/30049) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30049/31847) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/30049/31848) | | | [An Interpretable Approach to the Solutions of High-Dimensional Partial Differential Equations](https://ojs.aaai.org/index.php/AAAI/article/view/30050) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30050/31849) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/30050/31850) | | | [Sampling for Beyond-Worst-Case Online Ranking](https://ojs.aaai.org/index.php/AAAI/article/view/30051) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30051/31851) | | | | [Learning Ultrametric Trees for Optimal Transport Regression](https://ojs.aaai.org/index.php/AAAI/article/view/30052) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30052/31852) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/30052/31853) | | | [Parameterized Approximation Algorithms for Sum of Radii Clustering and Variants](https://ojs.aaai.org/index.php/AAAI/article/view/30053) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30053/31854) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/30053/31855) | | | [Traffic Flow Optimisation for Lifelong Multi-Agent Path Finding](https://ojs.aaai.org/index.php/AAAI/article/view/30054) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30054/31856) | | | | [Runtime Analysis of the (μ + 1) GA: Provable Speed-Ups from Strong Drift towards Diverse Populations](https://ojs.aaai.org/index.php/AAAI/article/view/30055) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30055/31857) | | | | [Novelty vs. Potential Heuristics: A Comparison of Hardness Measures for Satisficing Planning](https://ojs.aaai.org/index.php/AAAI/article/view/30056) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30056/31858) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/30056/31859) | | | [Cumulative Regret Analysis of the Piyavskii–Shubert Algorithm and Its Variants for Global Optimization](https://ojs.aaai.org/index.php/AAAI/article/view/30057) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30057/31860) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/30057/31861) | | | [Efficient Constrained K-center Clustering with Background Knowledge](https://ojs.aaai.org/index.php/AAAI/article/view/30058) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30058/31862) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/30058/31863) | | | [Limited Query Graph Connectivity Test](https://ojs.aaai.org/index.php/AAAI/article/view/30059) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30059/31864) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/30059/31865) | | | [Theoretical Aspects of Generating Instances with Unique Solutions: Pre-assignment Models for Unique Vertex Cover](https://ojs.aaai.org/index.php/AAAI/article/view/30060) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30060/31866) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/30060/31867) | | | [KD-Club: An Efficient Exact Algorithm with New Coloring-Based Upper Bound for the Maximum k-Defective Clique Problem](https://ojs.aaai.org/index.php/AAAI/article/view/30061) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30061/31868) | | | | [Parallel Beam Search Algorithms for Domain-Independent Dynamic Programming](https://ojs.aaai.org/index.php/AAAI/article/view/30062) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30062/31869) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/30062/31870) | | | [Rectangle Search: An Anytime Beam Search](https://ojs.aaai.org/index.php/AAAI/article/view/30063) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30063/31871) | | | | [Learning to Stop Cut Generation for Efficient Mixed-Integer Linear Programming](https://ojs.aaai.org/index.php/AAAI/article/view/30064) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30064/31872) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/30064/31873) | | | [A Fast Exact Solver with Theoretical Analysis for the Maximum Edge-Weighted Clique Problem](https://ojs.aaai.org/index.php/AAAI/article/view/30065) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30065/31874) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/30065/31875) | | | [Towards Running Time Analysis of Interactive Multi-Objective Evolutionary Algorithms](https://ojs.aaai.org/index.php/AAAI/article/view/30066) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30066/31876) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/30066/31877) | | | [Accelerating Cutting-Plane Algorithms via Reinforcement Learning Surrogates](https://ojs.aaai.org/index.php/AAAI/article/view/30067) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30067/31878) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/30067/31879) | | | [Paths, Proofs, and Perfection: Developing a Human-Interpretable Proof System for Constrained Shortest Paths](https://ojs.aaai.org/index.php/AAAI/article/view/30068) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30068/31880) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/30068/31881) | | | [Learning Encodings for Constructive Neural Combinatorial Optimization Needs to Regret](https://ojs.aaai.org/index.php/AAAI/article/view/30069) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30069/31882) | | | | [COMBHelper: A Neural Approach to Reduce Search Space for Graph Combinatorial Problems](https://ojs.aaai.org/index.php/AAAI/article/view/30070) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30070/31883) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/30070/31884) | | | [Improving Neural Network Generalization on Data-Limited Regression with Doubly-Robust Boosting](https://ojs.aaai.org/index.php/AAAI/article/view/30071) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30071/31885) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/30071/31886) | | | [Inertial Algorithm with Dry Fraction and Convolutional Sparse Coding for 3D Localization with Light Field Microscopy](https://ojs.aaai.org/index.php/AAAI/article/view/30072) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30072/31887) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/30072/31888) | | | [A Novel Skip Orthogonal List for Dynamic Optimal Transport Problem](https://ojs.aaai.org/index.php/AAAI/article/view/30073) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30073/31889) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/30073/31890) | | | [Sample-and-Bound for Non-convex Optimization](https://ojs.aaai.org/index.php/AAAI/article/view/30074) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30074/31891) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/30074/31892) | | | [Threshold-Based Responsive Simulated Annealing for Directed Feedback Vertex Set Problem](https://ojs.aaai.org/index.php/AAAI/article/view/30075) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30075/31893) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/30075/31894) | | | [Jointly Improving the Sample and Communication Complexities in Decentralized Stochastic Minimax Optimization](https://ojs.aaai.org/index.php/AAAI/article/view/30076) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30076/31895) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/30076/31896) | | | [Runtime Analysis of the SMS-EMOA for Many-Objective Optimization](https://ojs.aaai.org/index.php/AAAI/article/view/30077) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30077/31897) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/30077/31898) | | | [How to Use the Metropolis Algorithm for Multi-Objective Optimization?](https://ojs.aaai.org/index.php/AAAI/article/view/30078) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30078/31899) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/30078/31900) | | | [Two-Stage Evolutionary Reinforcement Learning for Enhancing Exploration and Exploitation](https://ojs.aaai.org/index.php/AAAI/article/view/30079) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/30079/31901) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/30079/31902) | ================================================ FILE: sections/2024/main/сognitive_modeling_and_cognitive_systems.md ================================================ # AAAI-2024-Papers
Application App
## Cognitive Modeling and Cognitive Systems ![Section Papers](https://img.shields.io/badge/Section%20Papers-25-42BA16) ![Preprint Papers](https://img.shields.io/badge/Preprint%20Papers-13-b31b1b) ![Papers with Open Code](https://img.shields.io/badge/Papers%20with%20Open%20Code-16-1D7FBF) ![Papers with Video](https://img.shields.io/badge/Papers%20with%20Video-15-FF0000) | :id: | **Title** | **Repo** | **Paper** | **Video** | |------|-----------|:--------:|:---------:|:---------:| | 8044 | [Operationalizing Essential Characteristics of Creativity in a Computational System for Music Composition](https://ojs.aaai.org/index.php/AAAI/article/view/27799) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27799/27630) | :heavy_minus_sign: | | 13918 | [Neural Reasoning about Agents' Goals, Preferences, and Actions](https://ojs.aaai.org/index.php/AAAI/article/view/27800) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27800/27632)
[![arXiv](https://img.shields.io/badge/arXiv-2312.07122-b31b1b.svg)](https://arxiv.org/abs/2312.07122) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/27800/27633) | | 5977 | [An Empirical Study of CLIP for Text-based Person Search](https://ojs.aaai.org/index.php/AAAI/article/view/27801) | [![GitHub](https://img.shields.io/github/stars/Flame-Chasers/TBPS-CLIP?style=flat)](https://github.com/Flame-Chasers/TBPS-CLIP) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27801/27634)
[![arXiv](https://img.shields.io/badge/arXiv-2308.10045-b31b1b.svg)](https://arxiv.org/abs/2308.10045) | :heavy_minus_sign: | | 7262 | [Social Physics Informed Diffusion Model for Crowd Simulation](https://ojs.aaai.org/index.php/AAAI/article/view/27802) | [![GitHub](https://img.shields.io/github/stars/tsinghua-fib-lab/SPDiff?style=flat)](https://github.com/tsinghua-fib-lab/SPDiff) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27802/27636)
[![arXiv](https://img.shields.io/badge/arXiv-2402.06680-b31b1b.svg)](https://arxiv.org/abs/2402.06680) | :heavy_minus_sign: | | 12962 | [Trend-Aware Supervision: On Learning Invariance for Semi-Supervised Facial Action Unit Intensity Estimation](https://ojs.aaai.org/index.php/AAAI/article/view/27803) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27803/27637) | :heavy_minus_sign: | | 13870 | [Enhancing the Robustness of Spiking Neural Networks with Stochastic Gating Mechanisms](https://ojs.aaai.org/index.php/AAAI/article/view/27804) | [![GitHub](https://img.shields.io/github/stars/DingJianhao/StoG-meets-SNN?style=flat)](https://github.com/DingJianhao/StoG-meets-SNN) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27804/27639) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/27804/27640) | | 10118 | [Imitation of Life: A Search Engine for Biologically Inspired Design](https://ojs.aaai.org/index.php/AAAI/article/view/27805) | [![GitHub](https://img.shields.io/github/stars/emunatool/BARcode-BioInspired-Search?style=flat)](https://github.com/emunatool/BARcode-BioInspired-Search) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27805/27641)
[![arXiv](https://img.shields.io/badge/arXiv-2312.12681-b31b1b.svg)](https://arxiv.org/abs/2312.12681) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/27805/27642) | | 4071 | [An Efficient Knowledge Transfer Strategy for Spiking Neural Networks from Static to Event Domain](https://ojs.aaai.org/index.php/AAAI/article/view/27806) | [![GitHub](https://img.shields.io/github/stars/Brain-Cog-Lab/Transfer-for-DVS?style=flat)](https://github.com/Brain-Cog-Lab/Transfer-for-DVS) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27806/27643)
[![arXiv](https://img.shields.io/badge/arXiv-2303.13077-b31b1b.svg)](https://arxiv.org/abs/2303.13077) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/27806/27644) | | 2765 | [Responding to the Call: Exploring Automatic Music Composition using a Knowledge-Enhanced Model](https://ojs.aaai.org/index.php/AAAI/article/view/27807) | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://hu-music.github.io/crg_demo/)
[![GitHub](https://img.shields.io/github/stars/hu-music/Call-Response?style=flat)](https://github.com/hu-music/Call-Response) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27807/27645) | :heavy_minus_sign: | | 8439 | [Neural Amortized Inference for Nested Multi-Agent Reasoning](https://ojs.aaai.org/index.php/AAAI/article/view/27808) | [![WEB Page](https://img.shields.io/badge/WEB-Page-159957.svg)](https://www.tshu.io/nested_reasoning/)
[![GitHub](https://img.shields.io/github/stars/KJha02/AmortizedNestedReasoning?style=flat)](https://github.com/KJha02/AmortizedNestedReasoning) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27808/27647)
[![arXiv](https://img.shields.io/badge/arXiv-2308.11071-b31b1b.svg)](https://arxiv.org/abs/2308.11071) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/27808/27648) | | 7995 | [Hidden Follower Detection: How is the Gaze-Spacing Pattern Embodied in Frequency Domain?](https://ojs.aaai.org/index.php/AAAI/article/view/27809) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27809/27649) | :heavy_minus_sign: | | 7021 | [Music Style Transfer with Time-Varying Inversion of Diffusion Models](https://ojs.aaai.org/index.php/AAAI/article/view/27810) | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://lsfhuihuiff.github.io/MusicTI/)
[![GitHub](https://img.shields.io/github/stars/lsfhuihuiff/MusicTI_AAAI2024?style=flat)](https://github.com/lsfhuihuiff/MusicTI_AAAI2024) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27810/27651)
[![arXiv](https://img.shields.io/badge/arXiv-2402.13763-b31b1b.svg)](https://arxiv.org/abs/2402.13763) | :heavy_minus_sign: | | 4761 | [A Brain-Inspired Way of Reducing the Network Complexity via Concept-Regularized Coding for Emotion Recognition](https://ojs.aaai.org/index.php/AAAI/article/view/27811) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27811/27653) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/27811/27654) | | 13319 | [Multi-Energy Guided Image Translation with Stochastic Differential Equations for Near-Infrared Facial Expression Recognition](https://ojs.aaai.org/index.php/AAAI/article/view/27812) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27812/27655)
[![arXiv](https://img.shields.io/badge/arXiv-2312.05908-b31b1b.svg)](https://arxiv.org/abs/2312.05908) | :heavy_minus_sign: | | 10283 | [Successive POI Recommendation via Brain-Inspired Spatiotemporal Aware Representation](https://ojs.aaai.org/index.php/AAAI/article/view/27813) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27813/27657) | :heavy_minus_sign: | | 4045 | [BDIQA: A New Dataset for Video Question Answering to Explore Cognitive Reasoning through Theory of Mind](https://ojs.aaai.org/index.php/AAAI/article/view/27814) | [![GitHub](https://img.shields.io/github/stars/mao-yy/BDIQA?style=flat)](https://github.com/mao-yy/BDIQA) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27814/27659)
[![arXiv](https://img.shields.io/badge/arXiv-2402.07402-b31b1b.svg)](https://arxiv.org/abs/2402.07402) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/27814/27660) | | 7083 | [Unveiling the Significance of Toddler-Inspired Reward Transition in Goal-Oriented Reinforcement Learning](https://ojs.aaai.org/index.php/AAAI/article/view/27815) | [![GitHub](https://img.shields.io/github/stars/Frankpark/Toddler-Inspired-Reward-Transition?style=flat)](https://github.com/Frankpark/Toddler-Inspired-Reward-Transition) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27815/27661)
[![arXiv](https://img.shields.io/badge/arXiv-2403.06880-b31b1b.svg)](https://arxiv.org/abs/2403.06880) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/27815/27662) | | 65 | [Gated Attention Coding for Training High-Performance and Efficient Spiking Neural Networks](https://ojs.aaai.org/index.php/AAAI/article/view/27816) | [![GitHub](https://img.shields.io/github/stars/bollossom/GAC?style=flat)](https://github.com/bollossom/GAC) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27816/27663)
[![arXiv](https://img.shields.io/badge/arXiv-2308.06582-b31b1b.svg)](https://arxiv.org/abs/2308.06582) | :heavy_minus_sign: | | 6385 | [Efficient Spiking Neural Networks with Sparse Selective Activation for Continual Learning](https://ojs.aaai.org/index.php/AAAI/article/view/27817) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27817/27664) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/27817/27665) | | 136 | [Boosting Neural Cognitive Diagnosis with Student's Affective State Modeling](https://ojs.aaai.org/index.php/AAAI/article/view/27818) | [![GitHub](https://img.shields.io/github/stars/zeng-zhen/ACD?style=flat)](https://github.com/zeng-zhen/ACD) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27818/27666) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/27818/27667) | | 13397 | [DMMR: Cross-Subject Domain Generalization for EEG-Based Emotion Recognition via Denoising Mixed Mutual Reconstruction](https://ojs.aaai.org/index.php/AAAI/article/view/27819) | [![GitHub](https://img.shields.io/github/stars/CodeBreathing/DMMR?style=flat)](https://github.com/CodeBreathing/DMMR) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27819/27668) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/27819/27669) | | 6615 | [Transient Glimpses: Unveiling Occluded Backgrounds through the Spike Camera](https://ojs.aaai.org/index.php/AAAI/article/view/27820) | [![GitHub](https://img.shields.io/github/stars/Leozhangjiyuan/SpikeDeOcclusion?style=flat)](https://github.com/Leozhangjiyuan/SpikeDeOcclusion) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27820/27670) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/27820/27671) | | 850 | [Open-Set Facial Expression Recognition](https://ojs.aaai.org/index.php/AAAI/article/view/27821) | [![GitHub](https://img.shields.io/github/stars/zyh-uaiaaaa/Open-Set-FER?style=flat)](https://github.com/zyh-uaiaaaa/Open-Set-FER) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27821/27672)
[![arXiv](https://img.shields.io/badge/arXiv-2401.12507-b31b1b.svg)](https://arxiv.org/abs/2401.12507) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/27821/27673) | | 8137 | [Bootstrapping Cognitive Agents with a Large Language Model](https://ojs.aaai.org/index.php/AAAI/article/view/27822) | [![GitHub](https://img.shields.io/github/stars/zfy0314/cognitive-agents?style=flat)](https://github.com/zfy0314/cognitive-agents) | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27822/27674)
[![arXiv](https://img.shields.io/badge/arXiv-2403.00810-b31b1b.svg)](https://arxiv.org/abs/2403.00810) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/27822/27675) | | 13592 | [Data Augmented Graph Neural Networks for Personality Detection](https://ojs.aaai.org/index.php/AAAI/article/view/27823) | :heavy_minus_sign: | [![ojs.aaai](https://img.shields.io/badge/pdf-ojs.aaai-1F6292.svg)](https://ojs.aaai.org/index.php/AAAI/article/view/27823/27676) | [![YouVideo](https://img.shields.io/badge/Video-000000??&style=flat&logo=youtube&logoColor=white)](https://ojs.aaai.org/index.php/AAAI/article/view/27823/27677) |