% Key papers for Invariance-based self-supervised learning (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{neurips2020_bootstrap_59480,
  title = {{Bootstrap Your Own Latent - A New Approach to Self-Supervised Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/18557},
}

@inproceedings{cvpr2020_self_16208,
  title = {{Self-Supervised Learning of Pretext-Invariant Representations}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2019_revisiting_14742,
  title = {{Revisiting Self-Supervised Visual Representation Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{neurips2019_learning_58501,
  title = {{Learning Representations by Maximizing Mutual Information Across Views}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/14447},
}

@inproceedings{cvpr2023_self_22159,
  title = {{Self-Supervised Learning From Images With a Joint-Embedding Predictive Architecture}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21019},
}

@inproceedings{iclr2022_vicreg_31847,
  title = {{VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2022},
  url = {https://iclr.cc/virtual/2022/poster/6481},
}

@inproceedings{cvpr2019_self_14798,
  title = {{Self-Supervised Representation Learning by Rotation Feature Decoupling}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2020_how_15659,
  title = {{How Useful Is Self-Supervised Pretraining for Visual Tasks?}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{iclr2020_a_29731,
  title = {{A Mutual Information Maximization Perspective of Language Representation Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2020},
  url = {https://openreview.net/forum?id=Syx79eBKwr},
}

@inproceedings{cvpr2020_learning_15779,
  title = {{Learning Representations by Predicting Bags of Visual Words}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{iclr2022_efficient_31532,
  title = {{Efficient Self-supervised Vision Transformers for Representation Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2022},
  url = {https://iclr.cc/virtual/2022/poster/6312},
}

@inproceedings{iclr2021_seed_30081,
  title = {{SEED: Self-supervised Distillation For Visual Representation}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2021},
  url = {https://iclr.cc/virtual/2021/poster/2707},
}

@inproceedings{neurips2020_self_60810,
  title = {{Self-supervised learning through the eyes of a child}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/18891},
}

@inproceedings{cvpr2021_multiple_17460,
  title = {{Multiple Instance Captioning: Learning Representations From Histopathology Textbooks and Articles}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2021_the_17997,
  title = {{The Lottery Tickets Hypothesis for Supervised and Self-Supervised Pre-Training in Computer Vision Models}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2020_sketch_16254,
  title = {{Sketch-BERT: Learning Sketch Bidirectional Encoder Representation From Transformers by Self-Supervised Learning of Sketch Gestalt}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{iclr2020_the_29508,
  title = {{The Early Phase of Neural Network Training}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2020},
  url = {https://openreview.net/forum?id=Hkl1iRNFwS},
}

@inproceedings{neurips2021_predicting_62506,
  title = {{Predicting What You Already Know Helps: Provable Self-Supervised Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/27317},
}

@inproceedings{icml2020_automatic_37956,
  title = {{Automatic Shortcut Removal for Self-Supervised Representation Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/6498},
}

@inproceedings{iclr2021_representation_30071,
  title = {{Representation Learning via Invariant Causal Mechanisms}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2021},
  url = {https://iclr.cc/virtual/2021/poster/3350},
}

@inproceedings{aaai2024_switchtab_7450,
  title = {{SwitchTab: Switched Autoencoders Are Effective Tabular Learners}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29523},
}

@inproceedings{cvpr2024_self_24786,
  title = {{Self-Supervised Facial Representation Learning with Facial Region Awareness}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30074},
}

@inproceedings{iclr2024_hypeboy_33936,
  title = {{HypeBoy: Generative Self-Supervised Representation Learning on Hypergraphs}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19139},
}

@inproceedings{neurips2024_return_73035,
  title = {{Return of Unconditional Generation: A Self-supervised Representation Generation Method}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94388},
}

@inproceedings{aaai2024_non_6790,
  title = {{Non-parametric Representation Learning with Kernels}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29077},
}

@inproceedings{cvpr2024_self_24791,
  title = {{Self-supervised Debiasing Using Low Rank Regularization}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30477},
}

@inproceedings{cvpr2025_a_25365,
  title = {{A Regularization-Guided Equivariant Approach for Image Restoration}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34975},
}

@inproceedings{neurips2024_select_74087,
  title = {{SELECT: A Large-Scale Benchmark of Data Curation Strategies for Image Classification}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/97486},
}

@inproceedings{aaai2025_can_8377,
  title = {{Can Generative Models Improve Self-Supervised Representation Learning?}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32174},
}

@inproceedings{neurips2024_self_70731,
  title = {{Self-supervised Transformation Learning for Equivariant Representations}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96393},
}

@inproceedings{neurips2024_how_73201,
  title = {{How JEPA Avoids Noisy Features: The Implicit Bias of Deep Linear Self Distillation Networks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94233},
}

@inproceedings{neurips2024_learning_73239,
  title = {{Learning predictable and robust neural representations by straightening image sequences}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94198},
}

@inproceedings{iclr2024_lidar_34875,
  title = {{LiDAR: Sensing Linear Probing Performance in Joint Embedding SSL Architectures}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18199},
}

@inproceedings{icml2024_binning_43890,
  title = {{Binning as a Pretext Task: Improving Self-Supervised Learning in Tabular Domains}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34562},
}

@inproceedings{neurips2024_no_72000,
  title = {{No Train, all Gain: Self-Supervised Gradients Improve Deep Frozen Representations}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95313},
}

@inproceedings{iclr2025_universal_82040,
  title = {{Universal Image Restoration Pre-training via Degradation Classification}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/29746},
}

@inproceedings{iclr2025_cross_83068,
  title = {{Cross-Entropy Is All You Need To Invert the Data Generating Process}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/28737},
}

@inproceedings{iclr2026_cryolvm_85063,
  title = {{CryoLVM: Self-supervised Learning from Cryo-EM Density Maps with Large Vision Models}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=9xcvEF2BRi},
}

@inproceedings{iclr2026_terrafm_87498,
  title = {{TerraFM: A Scalable Foundation Model for Unified Multisensor Earth Observation}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=cBxuzdUDNx},
}

@inproceedings{cvpr2026_e_98933,
  title = {{E-RayZer: Self-supervised 3D Reconstruction as Spatial Visual Pre-training}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  url = {https://openaccess.thecvf.com/content/CVPR2026/html/Zhao_E-RayZer_Self-supervised_3D_Reconstruction_as_Spatial_Visual_Pre-training_CVPR_2026_paper.html},
}