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

@inproceedings{neurips2019_when_59198,
  title = {{When does label smoothing help?}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/14524},
}

@inproceedings{cvpr2020_regularizing_16104,
  title = {{Regularizing Class-Wise Predictions via Self-Knowledge Distillation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2022_knowledge_19131,
  title = {{Knowledge Distillation: A Good Teacher Is Patient and Consistent}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2019_distilled_14096,
  title = {{Distilled Person Re-Identification: Towards a More Scalable System}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2021_supermix_17962,
  title = {{SuperMix: Supervising the Mixing Data Augmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2020_collaborative_15259,
  title = {{Collaborative Distillation for Ultra-Resolution Universal Style Transfer}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2021_evdistill_16960,
  title = {{EvDistill: Asynchronous Events To End-Task Learning via Bidirectional Reconstruction-Guided Cross-Modal Knowledge Distillation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{icml2020_feature_38210,
  title = {{Feature-map-level Online Adversarial Knowledge Distillation}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/5785},
}

@inproceedings{cvpr2023_mmanet_21495,
  title = {{MMANet: Margin-Aware Distillation and Modality-Aware Regularization for Incomplete Multimodal Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22513},
}

@inproceedings{cvpr2019_unifying_14964,
  title = {{Unifying Heterogeneous Classifiers With Distillation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2021_fair_17004,
  title = {{Fair Feature Distillation for Visual Recognition}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2022_multi_19389,
  title = {{Multi-Objective Diverse Human Motion Prediction With Knowledge Distillation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{neurips2024_decoupled_72950,
  title = {{Decoupled Kullback-Leibler Divergence Loss}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94462},
}

@inproceedings{aaai2021_diverse_453,
  title = {{Diverse Knowledge Distillation for End-to-End Person Search}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/03412-diverse-knowledge-distillation-for-end-to-end-person-search/},
}

@inproceedings{iclr2021_distilling_30239,
  title = {{Distilling Knowledge from Reader to Retriever for Question Answering}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2021},
  url = {https://iclr.cc/virtual/2021/poster/2774},
}

@inproceedings{aaai2022_cross_1907,
  title = {{Cross-Task Knowledge Distillation in Multi-Task Recommendation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/04318-cross-task-knowledge-distillation-in-multi-task-recommendation/},
}

@inproceedings{neurips2021_novel_63529,
  title = {{Novel Visual Category Discovery with Dual Ranking Statistics and Mutual Knowledge Distillation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/27478},
}

@inproceedings{cvpr2023_structvpr_22267,
  title = {{StructVPR: Distill Structural Knowledge With Weighting Samples for Visual Place Recognition}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/23287},
}

@inproceedings{aaai2022_cosine_1894,
  title = {{Cosine Model Watermarking against Ensemble Distillation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/09512-cosine-model-watermarking-against-ensemble-distillation/},
}

@inproceedings{iclr2021_is_30277,
  title = {{Is Label Smoothing Truly Incompatible with Knowledge Distillation: An Empirical Study}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2021},
  url = {https://iclr.cc/virtual/2021/poster/2869},
}

@inproceedings{cvpr2024_on_24346,
  title = {{On the Road to Portability: Compressing End-to-End Motion Planner for Autonomous Driving}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29539},
}

@inproceedings{aaai2024_self_7297,
  title = {{Self-Training Based Few-Shot Node Classification by Knowledge Distillation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29530},
}

@inproceedings{aaai2024_tail_7491,
  title = {{Tail-STEAK: Improve Friend Recommendation for Tail Users via Self-Training Enhanced Knowledge Distillation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28737},
}

@inproceedings{cvpr2024_ranking_24578,
  title = {{Ranking Distillation for Open-Ended Video Question Answering with Insufficient Labels}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31083},
}

@inproceedings{aaai2024_boosting_5311,
  title = {{Boosting Residual Networks with Group Knowledge}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28322},
}

@inproceedings{aaai2025_mergenet_9940,
  title = {{MergeNet: Knowledge Migration Across Heterogeneous Models, Tasks, and Modalities}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32510},
}

@inproceedings{cvpr2025_accurate_25421,
  title = {{Accurate Scene Text Recognition with Efficient Model Scaling and Cloze Self-Distillation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33535},
}

@inproceedings{aaai2024_knowledge_6379,
  title = {{Knowledge Distillation from Single-Task Teachers to Multi-Task Student for End-to-End Autonomous Driving}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30388},
}

@inproceedings{cvpr2025_emphasizing_26120,
  title = {{Emphasizing Discriminative Features for Dataset Distillation in Complex Scenarios}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34610},
}

@inproceedings{iclr2024_hybrid_35053,
  title = {{Hybrid Distillation: Connecting Masked Autoencoders with Contrastive Learners}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18021},
}

@inproceedings{icml2025_pre_48127,
  title = {{Pre-Training Graph Contrastive Masked Autoencoders are Strong Distillers for EEG}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/44482},
}

@inproceedings{neurips2024_induced_73470,
  title = {{Induced Model Matching: Restricted Models Help Train Full-Featured Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94001},
}

@inproceedings{iclr2024_fantastic_35166,
  title = {{Fantastic Gains and Where to Find Them: On the Existence and Prospect of General Knowledge Transfer between Any Pretrained Model}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/17907},
}

@inproceedings{icml2024_selmatch_45412,
  title = {{SelMatch: Effectively Scaling Up Dataset Distillation via Selection-Based Initialization and Partial Updates by Trajectory Matching}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33039},
}

@inproceedings{icml2025_feat_46414,
  title = {{FEAT-KD: Learning Concise Representations for Single and Multi-Target Regression via TabNet Knowledge Distillation}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/46151},
}

@inproceedings{icml2026_hard_50743,
  title = {{Hard Labels In! Rethinking the Role of Hard Labels in Mitigating Local Semantic Drift}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=FIq3e9ffEZ},
}

@inproceedings{icml2026_generalist_51863,
  title = {{Generalist Graph Anomaly Detection via Prototype-Based Distillation}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=QZa5zaj2oP},
}

@inproceedings{neurips2024_are_70193,
  title = {{Are Large-scale Soft Labels Necessary for Large-scale Dataset Distillation?}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96891},
}

@inproceedings{neurips2025_cross_78696,
  title = {{Cross-Modal Representational Knowledge Distillation for Enhanced Spike-informed LFP Modeling}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=hT7Nj7SAQb},
}