% Key papers for Decoupled and calibrated long-tail training (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2019_large_14379,
  title = {{Large-Scale Long-Tailed Recognition in an Open World}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2020_bbn_15177,
  title = {{BBN: Bilateral-Branch Network With Cumulative Learning for Long-Tailed Visual Recognition}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{neurips2020_balanced_59425,
  title = {{Balanced Meta-Softmax for Long-Tailed Visual Recognition}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17733},
}

@inproceedings{cvpr2021_contrastive_16749,
  title = {{Contrastive Learning Based Hybrid Networks for Long-Tailed Image Classification}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2021_improving_17169,
  title = {{Improving Calibration for Long-Tailed Recognition}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2021_disentangling_16879,
  title = {{Disentangling Label Distribution for Long-Tailed Visual Recognition}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2020_rethinking_16113,
  title = {{Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition From a Domain Adaptation Perspective}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2020_deep_15371,
  title = {{Deep Representation Learning on Long-Tailed Data: A Learnable Embedding Augmentation Perspective}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2022_balanced_18344,
  title = {{Balanced Contrastive Learning for Long-Tailed Visual Recognition}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2022_targeted_19983,
  title = {{Targeted Supervised Contrastive Learning for Long-Tailed Recognition}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2021_metasaug_17406,
  title = {{MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2022_long_19272,
  title = {{Long-Tailed Recognition via Weight Balancing}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{aaai2021_bag_183,
  title = {{Bag of Tricks for Long-Tailed Visual Recognition with Deep Convolutional Neural Networks}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/03447-bag-of-tricks-for-long-tailed-visual-recognition-with-deep-convolutional-neural-networks/},
}

@inproceedings{cvpr2022_nested_19420,
  title = {{Nested Collaborative Learning for Long-Tailed Visual Recognition}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2023_global_21090,
  title = {{Global and Local Mixture Consistency Cumulative Learning for Long-Tailed Visual Recognitions}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21651},
}

@inproceedings{cvpr2021_long_17365,
  title = {{Long-Tailed Multi-Label Visual Recognition by Collaborative Training on Uniform and Re-Balanced Samplings}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2022_long_19273,
  title = {{Long-Tailed Visual Recognition via Gaussian Clouded Logit Adjustment}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2020_inflated_15690,
  title = {{Inflated Episodic Memory With Region Self-Attention for Long-Tailed Visual Recognition}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2020_domain_15432,
  title = {{Domain Balancing: Face Recognition on Long-Tailed Domains}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{aaai2022_adaptive_1710,
  title = {{Adaptive Logit Adjustment Loss for Long-Tailed Visual Recognition}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/03472-adaptive-logit-adjustment-loss-for-long-tailed-visual-recognition/},
}

@inproceedings{aaai2024_feature_5979,
  title = {{Feature Fusion from Head to Tail for Long-Tailed Visual Recognition}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29262},
}

@inproceedings{aaai2024_sfc_7222,
  title = {{SFC: Shared Feature Calibration in Weakly Supervised Semantic Segmentation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28584},
}

@inproceedings{aaai2024_decoupled_5627,
  title = {{Decoupled Optimisation for Long-Tailed Visual Recognition}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/27902},
}

@inproceedings{neurips2024_diffult_71623,
  title = {{DiffuLT: Diffusion for Long-tail Recognition Without External Knowledge}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95651},
}

@inproceedings{aaai2025_mlc_9856,
  title = {{MLC-NC: Long-Tailed Multi-Label Image Classification Through the Lens of Neural Collapse}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34298},
}

@inproceedings{neurips2024_improving_70698,
  title = {{Improving Visual Prompt Tuning by Gaussian Neighborhood Minimization for Long-Tailed Visual Recognition}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96426},
}

@inproceedings{icml2024_memorization_44581,
  title = {{Memorization Through the Lens of Curvature of Loss Function Around Samples}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33871},
}

@inproceedings{aaai2026_bce3s_100533,
  title = {{BCE3S: Binary Cross-Entropy Based Tripartite Synergistic Learning for Long-Tailed Recognition}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/37380},
}

@inproceedings{icml2025_focal_48406,
  title = {{Focal-SAM: Focal Sharpness-Aware Minimization for Long-Tailed Classification}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/44211},
}

@inproceedings{neurips2025_deciphering_75956,
  title = {{Deciphering the Extremes: A Novel Approach for Pathological Long-tailed Recognition in Scientific Discovery}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=E16vULI6AF},
}

@inproceedings{neurips2025_ts_77269,
  title = {{TS-MOF: Two-Stage Multi-Objective Fine-tuning for Long-Tailed Recognition}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=S82Afyfbj3},
}

@inproceedings{neurips2025_long_77472,
  title = {{Long-Tailed Recognition via Information-Preservable Two-Stage Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=UBsYf2lyNE},
}

@inproceedings{neurips2025_rectifying_80190,
  title = {{Rectifying Soft-Label Entangled Bias in Long-Tailed Dataset Distillation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=x7EjzpW5XC},
}

@inproceedings{iclr2025_multiplicative_81599,
  title = {{Multiplicative Logit Adjustment Approximates Neural-Collapse-Aware Decision Boundary Adjustment}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/30178},
}

@inproceedings{iclr2026_memorizing_86810,
  title = {{Memorizing Long-tail Data Can Help Generalization Through Composition}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=UBoCMU5iYV},
}

@inproceedings{neurips2026_ofbd_94657,
  title = {{OFBD: Object-Focused Background Debiasing for Long-Tailed Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/152979},
}

@inproceedings{cvpr2026_confusion_96965,
  title = {{Confusion-Aware Spectral Regularizer for Long-Tailed Recognition}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  url = {https://openaccess.thecvf.com/content/CVPR2026/html/Zhu_Confusion-Aware_Spectral_Regularizer_for_Long-Tailed_Recognition_CVPR_2026_paper.html},
}

@inproceedings{cvpr2026_cue_97344,
  title = {{CUE: Concept-Aware Multi-Label Expansion to Mitigate Concept Confusion in Long-Tailed Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  url = {https://openaccess.thecvf.com/content/CVPR2026/html/Zhang_CUE_Concept-Aware_Multi-Label_Expansion_to_Mitigate_Concept_Confusion_in_Long-Tailed_CVPR_2026_paper.html},
}

@inproceedings{cvpr2026_why_98885,
  title = {{Why Not Hyperparameter-Friendly Optimisation? A Monotonic Adaptive Norm Rescaling Approach For Long-Tailed Recognition}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  url = {https://openaccess.thecvf.com/content/CVPR2026/html/Zhang_Why_Not_Hyperparameter-Friendly_Optimisation_A_Monotonic_Adaptive_Norm_Rescaling_Approach_CVPR_2026_paper.html},
}

@inproceedings{aaai2026_dual_102655,
  title = {{Dual-Phase Visual-Language Pretraining and Adaptation for Long-Tailed Multi-Label Recognition}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/37600},
}