% Key papers for Benchmarking and reproducibility practice (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2018_toward_13655,
  title = {{Toward Driving Scene Understanding: A Dataset for Learning Driver Behavior and Causal Reasoning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Ramanishka_Toward_Driving_Scene_CVPR_2018_paper.html},
}

@inproceedings{neurips2021_therapeutics_61475,
  title = {{Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://openreview.net/forum?id=8nvgnORnoWr},
}

@inproceedings{aaai2023_toward_4829,
  title = {{Toward a Perspectivist Turn in Ground Truthing for Predictive Computing}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/25840},
}

@inproceedings{neurips2021_codenet_61401,
  title = {{CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://openreview.net/forum?id=6vZVBkCDrHT},
}

@inproceedings{icml2019_unreproducible_37839,
  title = {{Unreproducible Research is Reproducible}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2019},
  url = {https://icml.cc/virtual/2019/poster/4177},
}

@inproceedings{aaai2016_peak_105182,
  title = {{PEAK: Pyramid Evaluation via Automated Knowledge Extraction}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2016},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10336},
}

@inproceedings{neurips2023_dataperf_67806,
  title = {{DataPerf: Benchmarks for Data-Centric AI Development}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/73622},
}

@inproceedings{aaai2017_add_101437,
  title = {{Add Data into Business Process Verification: Bridging the Gap between Theory and Practice}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2017},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10688},
}

@inproceedings{aaai2020_atari_102299,
  title = {{Atari-HEAD: Atari Human Eye-Tracking and Demonstration Dataset}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/6161},
}

@inproceedings{aaai2018_modeling_105773,
  title = {{Modeling Scientific Influence for Research Trending Topic Prediction}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/11882},
}

@inproceedings{aaai2018_dlpaper2code_104067,
  title = {{DLPaper2Code: Auto-Generation of Code From Deep Learning Research Papers}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/12326},
}

@inproceedings{aaai2021_a_38,
  title = {{A Novice-Reviewer Experiment to Address Scarcity of Qualified Reviewers in Large Conferences}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/04785-a-novice-reviewer-experiment-to-address-scarcity-of-qualified-reviewers-in-large-conferences/},
}

@inproceedings{icml2024_position_43402,
  title = {{Position: Data Authenticity, Consent, \& Provenance for AI are all broken: what will it take to fix them?}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/35050},
}

@inproceedings{neurips2024_croissant_72800,
  title = {{Croissant: A Metadata Format for ML-Ready Datasets}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/97627},
}

@inproceedings{aaai2021_argument_145,
  title = {{Argument Mining Driven Analysis of Peer-Reviews}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/04758-argument-mining-driven-analysis-of-peer-reviews/},
}

@inproceedings{icml2024_position_44329,
  title = {{Position: Mission Critical – Satellite Data is a Distinct Modality in Machine Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34123},
}

@inproceedings{aaai2017_a_99783,
  title = {{A Declarative Approach to Data-Driven Fact Checking}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2017},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10492},
}

@inproceedings{aaai2019_a_99964,
  title = {{A Study of Educational Data Mining: Evidence from a Thai University}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/3851},
}

@inproceedings{cvpr2022_geoengine_18931,
  title = {{GeoEngine: A Platform for Production-Ready Geospatial Research}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
  url = {https://openaccess.thecvf.com/content/CVPR2022/html/Verma_GeoEngine_A_Platform_for_Production-Ready_Geospatial_Research_CVPR_2022_paper.html},
}

@inproceedings{neurips2025_tabarena_78910,
  title = {{TabArena: A Living Benchmark for Machine Learning on Tabular Data}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=jZqCqpCLdU},
}

@inproceedings{aaai2025_the_10987,
  title = {{The Unreasonable Effectiveness of Open Science in AI: A Replication Study}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34818},
}

@inproceedings{iclr2024_batteryml_35445,
  title = {{BatteryML: An Open-source Platform for Machine Learning on Battery Degradation}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/17628},
}

@inproceedings{aaai2024_reproduce_7113,
  title = {{Reproduce, Replicate, Reevaluate. The Long but Safe Way to Extend Machine Learning Methods}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29515},
}

@inproceedings{iclr2024_navigating_35610,
  title = {{Navigating Dataset Documentations in AI: A Large-Scale Analysis of Dataset Cards on HuggingFace}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/17463},
}

@inproceedings{aaai2024_promoting_7009,
  title = {{Promoting Research Collaboration with Open Data Driven Team Recommendation in Response to Call for Proposals}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30318},
}

@inproceedings{aaai2024_esg_5784,
  title = {{ESG Accountability Made Easy: DocQA at Your Service}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30574},
}

@inproceedings{aaai2025_shield_10756,
  title = {{Shield Synthesis for LTL Modulo Theories}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33660},
}

@inproceedings{iclr2025_nnsight_81874,
  title = {{NNsight and NDIF: Democratizing Access to Open-Weight Foundation Model Internals}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/29909},
}

@inproceedings{neurips2024_welqrate_72185,
  title = {{WelQrate: Defining the Gold Standard in Small Molecule Drug Discovery Benchmarking}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/97684},
}

@inproceedings{neurips2024_copycats_72581,
  title = {{Copycats: the many lives of a publicly available medical imaging dataset}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/97652},
}

@inproceedings{icml2024_position_43841,
  title = {{Position: Why We Must Rethink Empirical Research in Machine Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34611},
}

@inproceedings{icml2024_position_45169,
  title = {{Position: Measure Dataset Diversity, Don't Just Claim It}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33283},
}

@inproceedings{neurips2024_the_71810,
  title = {{The State of Data Curation at NeurIPS: An Assessment of Dataset Development Practices in the Datasets and Benchmarks Track}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/97728},
}

@inproceedings{neurips2024_a_73382,
  title = {{A Systematic Review of NeurIPS Dataset Management Practices}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://openreview.net/forum?id=hQQyetmOxs},
}

@inproceedings{neurips2026_no_91501,
  title = {{No One Knows the State-of-the-Art in Geospatial Foundation Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/140061},
}

@inproceedings{aaai2024_towards_7601,
  title = {{Towards Human-like Learning from Relational Structured Data}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30300},
}