% Key papers for Self-supervision in supervised pipelines (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{aaai2021_tabnet_1462,
  title = {{TabNet: Attentive Interpretable Tabular Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/06679-tabnet-attentive-interpretable-tabular-learning/},
}

@inproceedings{neurips2019_evaluating_58227,
  title = {{Evaluating Protein Transfer Learning with TAPE}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/14578},
}

@inproceedings{iclr2017_adversarial_28225,
  title = {{Adversarial Feature Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2017},
  url = {https://openreview.net/forum?id=BJtNZAFgg},
}

@inproceedings{aaai2021_self_1355,
  title = {{Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/04503-self-supervised-hypergraph-convolutional-networks-for-session-based-recommendation/},
}

@inproceedings{cvpr2018_self_13571,
  title = {{Self-Supervised Adversarial Hashing Networks for Cross-Modal Retrieval}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Li_Self-Supervised_Adversarial_Hashing_CVPR_2018_paper.html},
}

@inproceedings{neurips2019_using_59167,
  title = {{Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/14454},
}

@inproceedings{cvpr2018_boosting_12875,
  title = {{Boosting Self-Supervised Learning via Knowledge Transfer}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Noroozi_Boosting_Self-Supervised_Learning_CVPR_2018_paper.html},
}

@inproceedings{cvpr2022_self_19826,
  title = {{Self-Supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{aaai2023_spatio_4718,
  title = {{Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/25555},
}

@inproceedings{cvpr2019_learning_14444,
  title = {{Learning to Learn How to Learn: Self-Adaptive Visual Navigation Using Meta-Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2020_adaptive_15118,
  title = {{Adaptive Dilated Network With Self-Correction Supervision for Counting}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{icml2020_unsupervised_38910,
  title = {{Unsupervised Discovery of Interpretable Directions in the GAN Latent Space}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/6091},
}

@inproceedings{cvpr2019_self_14793,
  title = {{Self-Supervised Convolutional Subspace Clustering Network}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2018_self_13572,
  title = {{Self-Supervised Feature Learning by Learning to Spot Artifacts}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Jenni_Self-Supervised_Feature_Learning_CVPR_2018_paper.html},
}

@inproceedings{iclr2020_self_29563,
  title = {{Self-labelling via simultaneous clustering and representation learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2020},
  url = {https://openreview.net/forum?id=Hyx-jyBFPr},
}

@inproceedings{icml2016_augmenting_35745,
  title = {{Augmenting Supervised Neural Networks with Unsupervised Objectives for Large-scale Image Classification}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2016},
  url = {https://proceedings.mlr.press/v48/zhangc16.html},
}

@inproceedings{cvpr2022_dira_18660,
  title = {{DiRA: Discriminative, Restorative, and Adversarial Learning for Self-Supervised Medical Image Analysis}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{neurips2019_self_58967,
  title = {{Self-Supervised Generalisation with Meta Auxiliary Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/13377},
}

@inproceedings{neurips2019_putting_58858,
  title = {{Putting An End to End-to-End: Gradient-Isolated Learning of Representations}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/13219},
}

@inproceedings{cvpr2021_learning_17327,
  title = {{Learning a Self-Expressive Network for Subspace Clustering}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2024_parameter_24437,
  title = {{Parameter Efficient Self-Supervised Geospatial Domain Adaptation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31624},
}

@inproceedings{cvpr2024_bootstrapping_22871,
  title = {{Bootstrapping Autonomous Driving Radars with Self-Supervised Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29284},
}

@inproceedings{aaai2024_partial_6929,
  title = {{Partial Multi-View Clustering via Self-Supervised Network}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29086},
}

@inproceedings{aaai2025_multi_10044,
  title = {{Multi-aspect Self-guided Deep Information Bottleneck for Multi-modal Clustering}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33903},
}

@inproceedings{aaai2024_quantile_7041,
  title = {{Quantile-Based Maximum Likelihood Training for Outlier Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30159},
}

@inproceedings{cvpr2024_neural_24280,
  title = {{Neural Modes: Self-supervised Learning of Nonlinear Modal Subspaces}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30018},
}

@inproceedings{neurips2024_multi_73603,
  title = {{Multi-Scale Representation Learning for Protein Fitness Prediction}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93883},
}

@inproceedings{aaai2024_duel_5582,
  title = {{DUEL: Duplicate Elimination on Active Memory for Self-Supervised Class-Imbalanced Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29040},
}

@inproceedings{iclr2024_protein_33817,
  title = {{Protein-ligand binding representation learning from fine-grained interactions}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19258},
}

@inproceedings{neurips2024_self_72957,
  title = {{Self-Labeling the Job Shop Scheduling Problem}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94456},
}

@inproceedings{aaai2025_st_10640,
  title = {{ST-ReP: Learning Predictive Representations Efficiently for Spatial-Temporal Forecasting}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33465},
}

@inproceedings{iclr2024_self_35496,
  title = {{Self-supervised Pocket Pretraining via Protein Fragment-Surroundings Alignment}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/17577},
}

@inproceedings{aaai2025_pre_10341,
  title = {{Pre-trained Behavioral Model for Malicious User Prediction on Social Platform}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/35032},
}

@inproceedings{neurips2025_unitraj_76332,
  title = {{UniTraj: Learning a Universal Trajectory Foundation Model from Billion-Scale Worldwide Traces}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=IGJHOcoQKp},
}

@inproceedings{iclr2026_one_84741,
  title = {{One protein is all you need}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=5zAde2jch7},
}

@inproceedings{aaai2025_3d_7865,
  title = {{3D Denoisers Are Good 2D Teachers: Molecular Pretraining via Denoising and Cross-Modal Distillation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/31986},
}

@inproceedings{aaai2025_association_8152,
  title = {{Association Pattern-enhanced Molecular Representation Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33935},
}

@inproceedings{icml2024_self_44888,
  title = {{Self-Supervised Interpretable End-to-End Learning via Latent Functional Modularity}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33564},
}

@inproceedings{icml2024_information_45685,
  title = {{Information Flow in Self-Supervised Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/32767},
}

@inproceedings{neurips2024_learning_74324,
  title = {{Learning to Edit Visual Programs with Self-Supervision}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93236},
}