% Key papers for Concept bottleneck models (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2023_language_21320,
  title = {{Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21606},
}

@inproceedings{icml2020_concept_38031,
  title = {{Concept Bottleneck Models}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/6816},
}

@inproceedings{aaai2023_interactive_3921,
  title = {{Interactive Concept Bottleneck Models}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/25736},
}

@inproceedings{iclr2023_post_33146,
  title = {{Post-hoc Concept Bottleneck Models}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2023},
  url = {https://iclr.cc/virtual/2023/poster/11415},
}

@inproceedings{neurips2022_concept_64493,
  title = {{Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/52974},
}

@inproceedings{iclr2023_label_32306,
  title = {{Label-free Concept Bottleneck Models}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2023},
  url = {https://iclr.cc/virtual/2023/poster/11326},
}

@inproceedings{neurips2022_addressing_66231,
  title = {{Addressing Leakage in Concept Bottleneck Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/53231},
}

@inproceedings{aaai2024_on_6832,
  title = {{On the Concept Trustworthiness in Concept Bottleneck Models}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30109},
}

@inproceedings{icml2023_a_42485,
  title = {{A Closer Look at the Intervention Procedure of Concept Bottleneck Models}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2023},
  url = {https://icml.cc/virtual/2023/poster/25000},
}

@inproceedings{icml2023_probabilistic_43193,
  title = {{Probabilistic Concept Bottleneck Models}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2023},
  url = {https://icml.cc/virtual/2023/poster/25148},
}

@inproceedings{cvpr2025_discovering_25956,
  title = {{Discovering Fine-Grained Visual-Concept Relations by Disentangled Optimal Transport Concept Bottleneck Models}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33751},
}

@inproceedings{neurips2022_glancenets_64560,
  title = {{GlanceNets: Interpretable, Leak-proof Concept-based Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/53162},
}

@inproceedings{iclr2024_energy_34100,
  title = {{Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic Interpretations}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18975},
}

@inproceedings{neurips2023_auxiliary_69225,
  title = {{Auxiliary Losses for Learning Generalizable Concept-based Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/70668},
}

@inproceedings{neurips2024_a_73888,
  title = {{A theoretical design of concept sets: improving the predictability of concept bottleneck models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93623},
}

@inproceedings{icml2024_learning_45018,
  title = {{Learning to Intervene on Concept Bottlenecks}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33434},
}

@inproceedings{neurips2024_beyond_71615,
  title = {{Beyond Concept Bottleneck Models: How to Make Black Boxes Intervenable?}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95656},
}

@inproceedings{neurips2025_deferring_77107,
  title = {{Deferring Concept Bottleneck Models: Learning to Defer Interventions to Inaccurate Experts}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=QdfdwsboOE},
}

@inproceedings{aaai2026_sl_108795,
  title = {{SL-CBM: Enhancing Concept Bottleneck Models with Semantic Locality for Better Interpretability}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/41147},
}

@inproceedings{icml2025_editable_47288,
  title = {{Editable Concept Bottleneck Models}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/45301},
}

@inproceedings{icml2025_addressing_48782,
  title = {{Addressing Concept Mislabeling in Concept Bottleneck Models Through Preference Optimization}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/43840},
}

@inproceedings{iclr2026_there_85568,
  title = {{There Was Never a Bottleneck in Concept Bottleneck Models}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=Fy7V5dalvX},
}

@inproceedings{iclr2026_concepts_85885,
  title = {{Concepts' Information Bottleneck Models}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=JGIYfwaNpT},
}

@inproceedings{iclr2026_learning_87882,
  title = {{Learning Concept Bottleneck Models from Mechanistic Explanations}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=gdEWoxhb70},
}

@inproceedings{neurips2026_measuring_89615,
  title = {{Measuring What Matters: Synthetic Benchmarks for Concept Bottleneck Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/138890},
}

@inproceedings{neurips2026_hyperbolic_93194,
  title = {{Hyperbolic Concept Bottleneck Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/151003},
}

@inproceedings{neurips2024_re_70860,
  title = {{[Re] On the Reproducibility of Post-Hoc Concept Bottleneck Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/99334},
}

@inproceedings{iclr2026_debugging_89495,
  title = {{Debugging Concept Bottleneck Models through Removal and Retraining}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=zZNYUkBS77},
}

@inproceedings{neurips2026_mosaic_94111,
  title = {{MOSAIC: Concept Bottlenecks via Text-Anchored Optimal Transport}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/151875},
}

@inproceedings{neurips2026_hyperbolic_95578,
  title = {{Hyperbolic Concept Embedding Model for Interpretable Medical Image Diagnosis}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/150377},
}