% Key papers for Representation evaluation and trade-offs (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{iclr2018_an_28681,
  title = {{An efficient framework for learning sentence representations}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2018},
  url = {https://iclr.cc/virtual/2018/poster/129},
}

@inproceedings{icml2017_learning_36252,
  title = {{Learning Discrete Representations via Information Maximizing Self-Augmented Training}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2017},
  url = {https://icml.cc/virtual/2017/poster/574},
}

@inproceedings{iclr2020_on_29868,
  title = {{On Mutual Information Maximization for Representation Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2020},
  url = {https://openreview.net/forum?id=rkxoh24FPH},
}

@inproceedings{iclr2021_learning_30154,
  title = {{Learning and Evaluating Representations for Deep One-Class Classification}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2021},
  url = {https://iclr.cc/virtual/2021/poster/3244},
}

@inproceedings{iclr2021_semantic_30269,
  title = {{Semantic Re-tuning with Contrastive Tension}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2021},
  url = {https://iclr.cc/virtual/2021/poster/2937},
}

@inproceedings{neurips2020_learning_60166,
  title = {{Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17317},
}

@inproceedings{aaai2017_self_104432,
  title = {{Self-Paced Learning: An Implicit Regularization Perspective}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2017},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10809},
}

@inproceedings{iclr2023_protein_33309,
  title = {{Protein Representation Learning by Geometric Structure Pretraining}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2023},
  url = {https://iclr.cc/virtual/2023/poster/11904},
}

@inproceedings{aaai2021_coupling_338,
  title = {{Coupling Macro-Sector-Micro Financial Indicators for Learning Stock Representations with Less Uncertainty}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/04418-coupling-macro-sector-micro-financial-indicators-for-learning-stock-representations-with-less-uncertainty/},
}

@inproceedings{aaai2021_a_49,
  title = {{A Simple and Effective Self-Supervised Contrastive Learning Framework for Aspect Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/13815-a-simple-and-effective-self-supervised-contrastive-learning-framework-for-aspect-detection/},
}

@inproceedings{cvpr2023_regularize_22022,
  title = {{Regularize Implicit Neural Representation by Itself}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/20947},
}

@inproceedings{iclr2020_adversarially_29415,
  title = {{Adversarially Robust Representations with Smooth Encoders}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2020},
  url = {https://openreview.net/forum?id=H1gfFaEYDS},
}

@inproceedings{iclr2021_negative_30270,
  title = {{Negative Data Augmentation}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2021},
  url = {https://iclr.cc/virtual/2021/poster/2546},
}

@inproceedings{aaai2023_do_3488,
  title = {{Do Invariances in Deep Neural Networks Align with Human Perception?}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/26112},
}

@inproceedings{aaai2024_denosent_5665,
  title = {{DenoSent: A Denoising Objective for Self-Supervised Sentence Representation Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29886},
}

@inproceedings{neurips2022_treemoco_66013,
  title = {{TreeMoCo: Contrastive Neuron Morphology Representation Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/54032},
}

@inproceedings{aaai2023_robust_4554,
  title = {{Robust Self-Supervised Multi-Instance Learning with Structure Awareness}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/26217},
}

@inproceedings{iclr2024_investigating_34055,
  title = {{Investigating the Benefits of Projection Head for Representation Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19020},
}

@inproceedings{icml2021_geomca_39388,
  title = {{GeomCA: Geometric Evaluation of Data Representations}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2021},
  url = {https://icml.cc/virtual/2021/poster/9663},
}

@inproceedings{neurips2022_self_64062,
  title = {{Self-Supervised Fair Representation Learning without Demographics}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/54124},
}

@inproceedings{iclr2024_code_35549,
  title = {{CODE REPRESENTATION LEARNING AT SCALE}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/17524},
}

@inproceedings{icml2024_improved_43405,
  title = {{Improved Generalization of Weight Space Networks via Augmentations}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/35047},
}

@inproceedings{iclr2024_unsupervised_33502,
  title = {{Unsupervised Pretraining for Fact Verification by Language Model Distillation}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19573},
}

@inproceedings{neurips2024_the_74353,
  title = {{The Benefits of Balance: From Information Projections to Variance Reduction}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93207},
}

@inproceedings{neurips2025_principled_79219,
  title = {{Principled Data Augmentation for Learning to Solve Quadratic Programming Problems}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=n5NZqzAITL},
}

@inproceedings{iclr2025_efficient_83336,
  title = {{Efficient Distribution Matching of Representations via Noise-Injected Deep InfoMax}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/28477},
}

@inproceedings{iclr2024_rotation_33828,
  title = {{Rotation Has Two Sides: Evaluating Data Augmentation for Deep One-class Classification}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19247},
}

@inproceedings{iclr2024_multimodal_34141,
  title = {{Multimodal Patient Representation Learning with Missing Modalities and Labels}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18934},
}

@inproceedings{icml2026_towards_50012,
  title = {{Towards Hierarchy–Uniformity Equilibrium: Recovering Semantic Depth in Hypergraph Contrastive Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=88qwqo7VSK},
}

@inproceedings{neurips2026_goat_91218,
  title = {{GOAT-AL: Pseudo Neural Collapse Guides Adaptive Coverage for All-Budget Active Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/154845},
}

@inproceedings{neurips2026_when_93370,
  title = {{When Alignment Fails: Stabilizing Cross-Dynamics RL with Prototype Trust Regions}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/152611},
}