% Key papers for Group-robust classification (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2017_chestx_12105,
  title = {{ChestX-ray8: Hospital-Scale Chest X-Ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{aaai2019_precision_101844,
  title = {{Precision-Recall versus Accuracy and the Role of Large Data Sets}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/5193},
}

@inproceedings{cvpr2019_repair_14692,
  title = {{REPAIR: Removing Representation Bias by Dataset Resampling}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{aaai2018_who_102489,
  title = {{Who Said What: Modeling Individual Labelers Improves Classification}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/11756},
}

@inproceedings{cvpr2022_balanced_18345,
  title = {{Balanced MSE for Imbalanced Visual Regression}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2018_anticipating_12841,
  title = {{Anticipating Traffic Accidents With Adaptive Loss and Large-Scale Incident DB}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Suzuki_Anticipating_Traffic_Accidents_CVPR_2018_paper.html},
}

@inproceedings{cvpr2021_your_18161,
  title = {{Your "Flamingo" is My "Bird": Fine-Grained, or Not}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{iclr2020_ensemble_29373,
  title = {{Ensemble Distribution Distillation}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2020},
  url = {https://openreview.net/forum?id=BygSP6Vtvr},
}

@inproceedings{icml2021_delving_39224,
  title = {{Delving into Deep Imbalanced Regression}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2021},
  url = {https://icml.cc/virtual/2021/poster/9493},
}

@inproceedings{icml2019_what_37855,
  title = {{What is the Effect of Importance Weighting in Deep Learning?}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2019},
  url = {https://icml.cc/virtual/2019/poster/4247},
}

@inproceedings{aaai2019_trainable_101681,
  title = {{Trainable Undersampling for Class-Imbalance Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/4396},
}

@inproceedings{icml2018_detecting_36631,
  title = {{Detecting and Correcting for Label Shift with Black Box Predictors}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2018},
  url = {https://icml.cc/virtual/2018/poster/2117},
}

@inproceedings{icml2018_does_36654,
  title = {{Does Distributionally Robust Supervised Learning Give Robust Classifiers?}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2018},
  url = {https://icml.cc/virtual/2018/poster/2181},
}

@inproceedings{cvpr2021_are_16605,
  title = {{Are Labels Always Necessary for Classifier Accuracy Evaluation?}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{neurips2018_reducing_57555,
  title = {{Reducing Network Agnostophobia}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11873},
}

@inproceedings{aaai2021_robustness_1298,
  title = {{Robustness to Spurious Correlations in Text Classification via Automatically Generated Counterfactuals}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/14024-robustness-to-spurious-correlations-in-text-classification-via-automatically-generated-counterfactuals/},
}

@inproceedings{icml2021_just_39488,
  title = {{Just Train Twice: Improving Group Robustness without Training Group Information}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2021},
  url = {https://icml.cc/virtual/2021/poster/9147},
}

@inproceedings{aaai2017_icu_105679,
  title = {{ICU Mortality Prediction: A Classification Algorithm for Imbalanced Datasets}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2017},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10721},
}

@inproceedings{iclr2021_model_30069,
  title = {{Model Patching: Closing the Subgroup Performance Gap with Data Augmentation}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2021},
  url = {https://iclr.cc/virtual/2021/poster/2873},
}

@inproceedings{aaai2020_a_99984,
  title = {{A Distributed Multi-Sensor Machine Learning Approach to Earthquake Early Warning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/5376},
}

@inproceedings{neurips2024_a_72208,
  title = {{A Closer Look at AUROC and AUPRC under Class Imbalance}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95133},
}

@inproceedings{cvpr2025_cloc_25655,
  title = {{CLOC: Contrastive Learning for Ordinal Classification with Multi-Margin N-pair Loss}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/32653},
}

@inproceedings{aaai2025_navigating_10090,
  title = {{Navigating Label Ambiguity for Facial Expression Recognition in the Wild}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32476},
}

@inproceedings{neurips2024_facilitating_72105,
  title = {{Facilitating Multimodal Classification via Dynamically Learning Modality Gap}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95223},
}

@inproceedings{aaai2024_mitigating_6647,
  title = {{Mitigating Label Bias in Machine Learning: Fairness through Confident Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29634},
}

@inproceedings{aaai2025_synthetic_10888,
  title = {{Synthetic Tabular Data Generation for Imbalanced Classification: The Surprising Effectiveness of an Overlap Class}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33771},
}

@inproceedings{cvpr2024_deep_23129,
  title = {{Deep Imbalanced Regression via Hierarchical Classification Adjustment}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30101},
}

@inproceedings{aaai2024_de_5603,
  title = {{De-biased Attention Supervision for Text Classification with Causality}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29897},
}

@inproceedings{neurips2024_overcoming_70274,
  title = {{Overcoming Common Flaws in the Evaluation of Selective Classification Systems}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96815},
}

@inproceedings{neurips2024_m3leo_73686,
  title = {{M3LEO: A Multi-Modal, Multi-Label Earth Observation Dataset Integrating Interferometric SAR and Multispectral Data}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/97528},
}

@inproceedings{aaai2024_online_6848,
  title = {{Online Conversion Rate Prediction via Multi-Interval Screening and Synthesizing under Delayed Feedback}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28726},
}

@inproceedings{cvpr2024_distributionally_23241,
  title = {{Distributionally Generative Augmentation for Fair Facial Attribute Classification}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31871},
}

@inproceedings{aaai2024_t_7462,
  title = {{T-NET: Weakly Supervised Graph Learning for Combatting Human Trafficking}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30233},
}

@inproceedings{aaai2025_leveraging_9778,
  title = {{Leveraging Group Classification with Descending Soft Labeling for Deep Imbalanced Regression}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34200},
}

@inproceedings{cvpr2024_decompose_23122,
  title = {{Decompose-and-Compose: A Compositional Approach to Mitigating Spurious Correlation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30981},
}

@inproceedings{aaai2024_intelligent_6335,
  title = {{Intelligent Calibration for Bias Reduction in Sentiment Corpora Annotation Process}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28882},
}

@inproceedings{aaai2024_learning_6477,
  title = {{Learning Real-World Image De-weathering with Imperfect Supervision}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28164},
}

@inproceedings{aaai2025_a_7938,
  title = {{A Unified Loss for Handling Inter-Class and Intra-Class Imbalance in Medical Image Segmentation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32956},
}

@inproceedings{aaai2025_blend_8274,
  title = {{Blend the Separated: Mixture of Synergistic Experts for Data-Scarcity Drug-Target Interaction Prediction}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34389},
}

@inproceedings{aaai2025_dr_8804,
  title = {{Dr. Tongue: Sign-Oriented Multi-label Detection for Remote Tongue Diagnosis}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32230},
}