% Key papers for Self and data-free distillation (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2022_decoupled_18599,
  title = {{Decoupled Knowledge Distillation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{neurips2018_knowledge_57261,
  title = {{Knowledge Distillation by On-the-Fly Native Ensemble}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11723},
}

@inproceedings{aaai2023_curriculum_3375,
  title = {{Curriculum Temperature for Knowledge Distillation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/25236},
}

@inproceedings{cvpr2023_class_20581,
  title = {{Class Attention Transfer Based Knowledge Distillation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21649},
}

@inproceedings{aaai2021_peer_1158,
  title = {{Peer Collaborative Learning for Online Knowledge Distillation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/10302-peer-collaborative-learning-for-online-knowledge-distillation/},
}

@inproceedings{neurips2018_kdgan_57258,
  title = {{KDGAN: Knowledge Distillation with Generative Adversarial Networks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11100},
}

@inproceedings{neurips2020_self_60794,
  title = {{Self-Distillation Amplifies Regularization in Hilbert Space}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17211},
}

@inproceedings{cvpr2020_explaining_15500,
  title = {{Explaining Knowledge Distillation by Quantifying the Knowledge}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2022_self_19815,
  title = {{Self-Distillation From the Last Mini-Batch for Consistency Regularization}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{icml2019_zero_37861,
  title = {{Zero-Shot Knowledge Distillation in Deep Networks}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2019},
  url = {https://icml.cc/virtual/2019/poster/3836},
}

@inproceedings{neurips2019_knowledge_58450,
  title = {{Knowledge Extraction with No Observable Data}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/13459},
}

@inproceedings{neurips2022_dataset_65875,
  title = {{Dataset Distillation via Factorization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/55231},
}

@inproceedings{cvpr2023_data_20714,
  title = {{Data-Free Knowledge Distillation via Feature Exchange and Activation Region Constraint}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21071},
}

@inproceedings{iclr2021_rethinking_30523,
  title = {{Rethinking Soft Labels for Knowledge Distillation: A Bias–Variance Tradeoff Perspective}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2021},
  url = {https://iclr.cc/virtual/2021/poster/2807},
}

@inproceedings{cvpr2023_accelerating_20335,
  title = {{Accelerating Dataset Distillation via Model Augmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22957},
}

@inproceedings{aaai2024_understanding_7689,
  title = {{Understanding the Role of the Projector in Knowledge Distillation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28219},
}

@inproceedings{cvpr2024_on_24343,
  title = {{On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29232},
}

@inproceedings{neurips2020_task_60918,
  title = {{Task-Oriented Feature Distillation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/16862},
}

@inproceedings{cvpr2024_small_24839,
  title = {{Small Scale Data-Free Knowledge Distillation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31725},
}

@inproceedings{aaai2024_layer_6429,
  title = {{Layer Attack Unlearning: Fast and Accurate Machine Unlearning via Layer Level Attack and Knowledge Distillation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30118},
}

@inproceedings{cvpr2024_nayer_24239,
  title = {{NAYER: Noisy Layer Data Generation for Efficient and Effective Data-free Knowledge Distillation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30260},
}

@inproceedings{aaai2024_fine_6018,
  title = {{Fine-Grained Distillation for Long Document Retrieval}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29947},
}

@inproceedings{cvpr2024_de_23115,
  title = {{De-confounded Data-free Knowledge Distillation for Handling Distribution Shifts}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30188},
}

@inproceedings{neurips2024_lakd_73213,
  title = {{LaKD: Length-agnostic Knowledge Distillation for Trajectory Prediction with Any Length Observations}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94223},
}

@inproceedings{aaai2024_teacher_7508,
  title = {{Teacher as a Lenient Expert: Teacher-Agnostic Data-Free Knowledge Distillation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29420},
}

@inproceedings{aaai2025_a_7897,
  title = {{A Knowledge Distillation-Based Approach to Enhance Transparency of Classifier Models}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33941},
}

@inproceedings{aaai2025_debiased_8654,
  title = {{Debiased Distillation for Consistency Regularization}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32840},
}

@inproceedings{aaai2025_multi_10049,
  title = {{Multi-label Self Knowledge Distillation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/35433},
}

@inproceedings{iclr2024_towards_35381,
  title = {{Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/17692},
}

@inproceedings{aaai2025_target_10927,
  title = {{Target-Driven Distillation: Consistency Distillation with Target Timestep Selection and Decoupled Guidance}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32820},
}

@inproceedings{cvpr2025_curriculum_25805,
  title = {{Curriculum Coarse-to-Fine Selection for High-IPC Dataset Distillation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33428},
}

@inproceedings{icml2024_what_45810,
  title = {{What is Dataset Distillation Learning?}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/32642},
}

@inproceedings{icml2025_distilling_46545,
  title = {{Distilling the Knowledge in Data Pruning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/46023},
}

@inproceedings{icml2025_when_48633,
  title = {{When Data-Free Knowledge Distillation Meets Non-Transferable Teacher: Escaping Out-of-Distribution Trap is All You Need}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/43988},
}

@inproceedings{neurips2024_a_73881,
  title = {{A Label is Worth A Thousand Images in Dataset Distillation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93630},
}

@inproceedings{neurips2025_deepkd_80130,
  title = {{DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation Trainer}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=wTxh9bKSXh},
}