% Key papers for Classifier rebalancing and margin losses (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2019_class_13936,
  title = {{Class-Balanced Loss Based on Effective Number of Samples}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2021_seesaw_17840,
  title = {{Seesaw Loss for Long-Tailed Instance Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{iclr2020_decoupling_29751,
  title = {{Decoupling Representation and Classifier for Long-Tailed Recognition}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2020},
  url = {https://openreview.net/forum?id=r1gRTCVFvB},
}

@inproceedings{cvpr2022_the_20013,
  title = {{The Majority Can Help the Minority: Context-Rich Minority Oversampling for Long-Tailed Classification}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2021_rsg_17690,
  title = {{RSG: A Simple but Effective Module for Learning Imbalanced Datasets}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2022_trustworthy_20096,
  title = {{Trustworthy Long-Tailed Classification}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2023_long_21461,
  title = {{Long-Tailed Visual Recognition via Self-Heterogeneous Integration With Knowledge Excavation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/23208},
}

@inproceedings{cvpr2023_curvature_20675,
  title = {{Curvature-Balanced Feature Manifold Learning for Long-Tailed Classification}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/23213},
}

@inproceedings{aaai2022_cross_1899,
  title = {{Cross-Domain Empirical Risk Minimization for Unbiased Long-Tailed Classification}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/03589-cross-domain-empirical-risk-minimization-for-unbiased-long-tailed-classification/},
}

@inproceedings{aaai2018_accelerated_104078,
  title = {{Accelerated Training for Massive Classification via Dynamic Class Selection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/12337},
}

@inproceedings{cvpr2023_transfer_22409,
  title = {{Transfer Knowledge From Head to Tail: Uncertainty Calibration Under Long-Tailed Distribution}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22469},
}

@inproceedings{cvpr2022_relieving_19704,
  title = {{Relieving Long-Tailed Instance Segmentation via Pairwise Class Balance}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{iclr2023_lpt_32145,
  title = {{LPT: Long-tailed Prompt Tuning for Image Classification}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2023},
  url = {https://iclr.cc/virtual/2023/poster/12129},
}

@inproceedings{iclr2023_cuda_32591,
  title = {{CUDA: Curriculum of Data Augmentation for Long-tailed Recognition}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2023},
  url = {https://iclr.cc/virtual/2023/poster/11772},
}

@inproceedings{icml2022_open_40961,
  title = {{Open-Sampling: Exploring Out-of-Distribution data for Re-balancing Long-tailed datasets}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2022},
  url = {https://icml.cc/virtual/2022/poster/17129},
}

@inproceedings{aaai2024_long_6546,
  title = {{Long-Tailed Partial Label Learning by Head Classifier and Tail Classifier Cooperation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29182},
}

@inproceedings{neurips2023_how_68008,
  title = {{How Re-sampling Helps for Long-Tail Learning?}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/71770},
}

@inproceedings{neurips2022_maximum_64720,
  title = {{Maximum Class Separation as Inductive Bias in One Matrix}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/55160},
}

@inproceedings{aaai2024_long_6545,
  title = {{Long-Tailed Learning as Multi-Objective Optimization}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28103},
}

@inproceedings{aaai2023_quantum_4454,
  title = {{Quantum-Inspired Representation for Long-Tail Senses of Word Sense Disambiguation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/26633},
}

@inproceedings{aaai2024_inverse_6354,
  title = {{Inverse Weight-Balancing for Deep Long-Tailed Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29055},
}

@inproceedings{aaai2025_difficulty_8737,
  title = {{Difficulty-aware Balancing Margin Loss for Long-tailed Recognition}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34261},
}

@inproceedings{neurips2024_towards_73983,
  title = {{Towards Heterogeneous Long-tailed Learning: Benchmarking, Metrics, and Toolbox}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/97503},
}

@inproceedings{cvpr2025_learning_26757,
  title = {{Learning from Neighbors: Category Extrapolation for Long-Tail Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33924},
}

@inproceedings{neurips2024_taming_74419,
  title = {{Taming the Long Tail in Human Mobility Prediction}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93152},
}

@inproceedings{aaai2025_class_8420,
  title = {{Class and Attribute-Aware Logit Adjustment for Generalized Long-Tail Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34462},
}

@inproceedings{cvpr2025_distilling_25965,
  title = {{Distilling Long-tailed Datasets}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/32401},
}

@inproceedings{aaai2025_sse_10635,
  title = {{SSE-SAM: Balancing Head and Tail Classes Gradually Through Stage-Wise SAM}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34122},
}

@inproceedings{iclr2024_exploring_34152,
  title = {{Exploring Weight Balancing on Long-Tailed Recognition Problem}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18923},
}

@inproceedings{neurips2024_breaking_72561,
  title = {{Breaking Long-Tailed Learning Bottlenecks: A Controllable Paradigm with Hypernetwork-Generated Diverse Experts}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94811},
}

@inproceedings{neurips2025_hpserec_78428,
  title = {{HPSERec: A Hierarchical Partitioning and Stepwise Enhancement Framework for Long-tailed Sequential Recommendation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=eUXVvpdFzZ},
}

@inproceedings{aaai2026_space_107483,
  title = {{Space Alignment Matters: The Missing Piece for Inducing Neural Collapse in Long-Tailed Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/39835},
}

@inproceedings{aaai2024_learning_6470,
  title = {{Learning Only When It Matters: Cost-Aware Long-Tailed Classification}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29133},
}

@inproceedings{icml2025_rethinking_48313,
  title = {{Rethinking the Bias of Foundation Model under Long-tailed Distribution}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/44301},
}

@inproceedings{icml2026_rethinking_55220,
  title = {{Rethinking Loss Reweighting for Imbalance Learning as an Inverse Problem: A Neural Collapse Point of View}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=woBaLURRlx},
}

@inproceedings{neurips2025_coral_77568,
  title = {{CORAL: Disentangling Latent Representations in Long-Tailed Diffusion}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=VIf1Ygh1Pv},
}

@inproceedings{neurips2025_long_78873,
  title = {{Long-tailed Recognition with Model Rebalancing}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=jDKhljBQb8},
}

@inproceedings{neurips2025_lt_79867,
  title = {{LT-Soups: Bridging Head and Tail Classes via Subsampled Model Soups}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=tiEsJtw3FH},
}