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

@inproceedings{cvpr2019_knockoff_14355,
  title = {{Knockoff Nets: Stealing Functionality of Black-Box Models}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2021_xprotonet_18158,
  title = {{XProtoNet: Diagnosis in Chest Radiography With Global and Local Explanations}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{aaai2020_adacare_100254,
  title = {{AdaCare: Explainable Clinical Health Status Representation Learning via Scale-Adaptive Feature Extraction and Recalibration}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/5427},
}

@inproceedings{aaai2021_human_733,
  title = {{Human-Level Interpretable Learning for Aspect-Based Sentiment Analysis}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/14203-human-level-interpretable-learning-for-aspect-based-sentiment-analysis/},
}

@inproceedings{neurips2019_a_57805,
  title = {{A Game Theoretic Approach to Class-wise Selective Rationalization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/14027},
}

@inproceedings{icml2020_invariant_38342,
  title = {{Invariant Rationalization}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/6451},
}

@inproceedings{aaai2021_taxonomy_1470,
  title = {{Taxonomy Completion via Triplet Matching Network}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/04662-taxonomy-completion-via-triplet-matching-network/},
}

@inproceedings{neurips2020_black_59473,
  title = {{Black-Box Ripper: Copying black-box models using generative evolutionary algorithms}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17456},
}

@inproceedings{icml2022_how_40655,
  title = {{How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative Models}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2022},
  url = {https://icml.cc/virtual/2022/poster/16229},
}

@inproceedings{aaai2019_human_101215,
  title = {{Human-in-the-Loop Feature Selection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/4088},
}

@inproceedings{icml2018_towards_37054,
  title = {{Towards Black-box Iterative Machine Teaching}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2018},
  url = {https://icml.cc/virtual/2018/poster/2398},
}

@inproceedings{cvpr2021_learning_17268,
  title = {{Learning Decision Trees Recurrently Through Communication}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2024_si_24709,
  title = {{SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel Histopathology}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30889},
}

@inproceedings{icml2019_collective_37227,
  title = {{Collective Model Fusion for Multiple Black-Box Experts}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2019},
  url = {https://icml.cc/virtual/2019/poster/3952},
}

@inproceedings{aaai2023_disentangled_3476,
  title = {{Disentangled CVAEs with Contrastive Learning for Explainable Recommendation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/26604},
}

@inproceedings{neurips2023_leace_68663,
  title = {{LEACE: Perfect linear concept erasure in closed form}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/71176},
}

@inproceedings{neurips2024_interpreting_70677,
  title = {{Interpreting CLIP with Sparse Linear Concept Embeddings (SpLiCE)}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96446},
}

@inproceedings{aaai2021_interpretable_801,
  title = {{Interpretable Sequence Classification via Discrete Optimization}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/09647-interpretable-sequence-classification-via-discrete-optimization/},
}

@inproceedings{neurips2022_protovae_64647,
  title = {{ProtoVAE: A Trustworthy Self-Explainable Prototypical Variational Model}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/53023},
}

@inproceedings{cvpr2021_metricopt_17410,
  title = {{MetricOpt: Learning To Optimize Black-Box Evaluation Metrics}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{neurips2024_xmil_72656,
  title = {{xMIL: Insightful Explanations for Multiple Instance Learning in Histopathology}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94728},
}

@inproceedings{neurips2024_slim_73267,
  title = {{SLIM: Style-Linguistics Mismatch Model for Generalized Audio Deepfake Detection}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94173},
}

@inproceedings{aaai2024_quilt_7048,
  title = {{Quilt: Robust Data Segment Selection against Concept Drifts}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30119},
}

@inproceedings{aaai2025_learning_9726,
  title = {{Learning Concept Prerequisite Relation via Global Knowledge Relation Optimization}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32156},
}

@inproceedings{aaai2025_a_7921,
  title = {{A Robust Prototype-Based Network with Interpretable RBF Classifier Foundations}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34233},
}

@inproceedings{aaai2025_geopro_9337,
  title = {{GeoPro-Net: Learning Interpretable Spatiotemporal Prediction Models Through Statistically-Guided Geo-Prototyping}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33243},
}

@inproceedings{iclr2024_towards_35491,
  title = {{Towards Faithful Explanations: Boosting Rationalization with Shortcuts Discovery}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/17582},
}

@inproceedings{neurips2024_towards_70328,
  title = {{Towards Multi-dimensional Explanation Alignment for Medical Classification}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96768},
}

@inproceedings{aaai2024_cidr_5342,
  title = {{CIDR: A Cooperative Integrated Dynamic Refining Method for Minimal Feature Removal Problem}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29729},
}

@inproceedings{icml2024_protogate_43237,
  title = {{ProtoGate: Prototype-based Neural Networks with Global-to-local Feature Selection for Tabular Biomedical Data}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/35215},
}

@inproceedings{icml2025_archetypal_46367,
  title = {{Archetypal SAE: Adaptive and Stable Dictionary Learning for Concept Extraction in Large Vision Models}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/46195},
}

@inproceedings{neurips2025_beyond_79043,
  title = {{Beyond Scalars: Concept-Based Alignment Analysis in Vision Transformers}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=l1DDTSqFq7},
}

@inproceedings{aaai2026_explainable_108802,
  title = {{Explainable Melanoma Diagnosis with Contrastive Learning and LLM-based Report Generation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/41154},
}

@inproceedings{aaai2025_human_9463,
  title = {{Human Interpretable Virtual Metrology in the Semiconductor Manufacturing}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/35219},
}

@inproceedings{aaai2025_language_9700,
  title = {{Language Model Meets Prototypes: Towards Interpretable Text Classification Models through Prototypical Networks}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/35231},
}

@inproceedings{iclr2024_infocon_34915,
  title = {{InfoCon: Concept Discovery with Generative and Discriminative Informativeness}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18159},
}

@inproceedings{iclr2024_non_35140,
  title = {{Non-negative Contrastive Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/17933},
}

@inproceedings{iclr2024_classification_35448,
  title = {{Classification with Conceptual Safeguards}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/17625},
}