% Key papers for Loss design and classifier theory (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2018_multi_13405,
  title = {{Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Kendall_Multi-Task_Learning_Using_CVPR_2018_paper.html},
}

@inproceedings{aaai2019_chexpert_99948,
  title = {{CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/3834},
}

@inproceedings{cvpr2016_towards_11931,
  title = {{Towards Open Set Deep Networks}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{neurips2016_improved_55780,
  title = {{Improved Deep Metric Learning with Multi-class N-pair Loss Objective}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/7259},
}

@inproceedings{cvpr2016_cnn_11422,
  title = {{CNN-RNN: A Unified Framework for Multi-Label Image Classification}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{cvpr2016_learning_11657,
  title = {{Learning Deep Representation for Imbalanced Classification}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{cvpr2016_patch_11759,
  title = {{Patch-Based Convolutional Neural Network for Whole Slide Tissue Image Classification}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{icml2019_do_37308,
  title = {{Do ImageNet Classifiers Generalize to ImageNet?}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2019},
  url = {https://icml.cc/virtual/2019/poster/4270},
}

@inproceedings{icml2016_from_35847,
  title = {{From Softmax to Sparsemax: A Sparse Model of Attention and Multi-Label Classification}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2016},
  url = {https://proceedings.mlr.press/v48/martins16.html},
}

@inproceedings{icml2016_large_35878,
  title = {{Large-Margin Softmax Loss for Convolutional Neural Networks}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2016},
  url = {https://proceedings.mlr.press/v48/liud16.html},
}

@inproceedings{cvpr2016_deep_11473,
  title = {{Deep Region and Multi-Label Learning for Facial Action Unit Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{cvpr2020_conditional_15271,
  title = {{Conditional Gaussian Distribution Learning for Open Set Recognition}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{aaai2017_label_104557,
  title = {{Label-Free Supervision of Neural Networks with Physics and Domain Knowledge}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2017},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10934},
}

@inproceedings{cvpr2017_using_12730,
  title = {{Using Ranking-CNN for Age Estimation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{aaai2019_mixup_101562,
  title = {{MixUp as Locally Linear Out-of-Manifold Regularization}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/4256},
}

@inproceedings{cvpr2019_visual_15008,
  title = {{Visual Attention Consistency Under Image Transforms for Multi-Label Image Classification}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2020_m2m_15851,
  title = {{M2m: Imbalanced Classification via Major-to-Minor Translation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{neurips2019_learning_58486,
  title = {{Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/13370},
}

@inproceedings{cvpr2020_multi_15924,
  title = {{Multi-scale Domain-adversarial Multiple-instance CNN for Cancer Subtype Classification with Unannotated Histopathological Images}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2016_disturblabel_11505,
  title = {{DisturbLabel: Regularizing CNN on the Loss Layer}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{cvpr2024_adaptive_22727,
  title = {{Adaptive Multi-Modal Cross-Entropy Loss for Stereo Matching}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29729},
}

@inproceedings{cvpr2024_contrastive_23039,
  title = {{Contrastive Learning for DeepFake Classification and Localization via Multi-Label Ranking}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31148},
}

@inproceedings{cvpr2024_ranked_24576,
  title = {{RankED: Addressing Imbalance and Uncertainty in Edge Detection Using Ranking-based Losses}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29527},
}

@inproceedings{aaai2024_boosting_5309,
  title = {{Boosting Multiple Instance Learning Models for Whole Slide Image Classification: A Model-Agnostic Framework Based on Counterfactual Inference}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28135},
}

@inproceedings{cvpr2024_versatile_25205,
  title = {{Versatile Medical Image Segmentation Learned from Multi-Source Datasets via Model Self-Disambiguation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30071},
}

@inproceedings{neurips2024_deep_73671,
  title = {{Deep Learning in Medical Image Registration: Magic or Mirage?}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93821},
}

@inproceedings{aaai2024_catch_5378,
  title = {{Catch-Up Mix: Catch-Up Class for Struggling Filters in CNN}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28049},
}

@inproceedings{aaai2024_united_7705,
  title = {{United We Stand: Using Epoch-Wise Agreement of Ensembles to Combat Overfit}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29429},
}

@inproceedings{aaai2024_towards_7599,
  title = {{Towards Fine-Grained HBOE with Rendered Orientation Set and Laplace Smoothing}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28582},
}

@inproceedings{aaai2025_unlocking_11170,
  title = {{Unlocking Better Closed-Set Alignment Based on Neural Collapse for Open-Set Recognition}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34005},
}

@inproceedings{aaai2024_spatial_7385,
  title = {{Spatial-Logic-Aware Weakly Supervised Learning for Flood Mapping on Earth Imagery}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30253},
}

@inproceedings{neurips2024_neuronal_71359,
  title = {{Neuronal Competition Groups with Supervised STDP for Spike-Based Classification}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95890},
}

@inproceedings{iclr2025_birdset_82813,
  title = {{BirdSet: A Large-Scale Dataset for Audio Classification in Avian Bioacoustics}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/28986},
}

@inproceedings{aaai2024_fusing_6072,
  title = {{Fusing Conditional Submodular GAN and Programmatic Weak Supervision}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29423},
}

@inproceedings{cvpr2025_project_27314,
  title = {{Project-Probe-Aggregate: Efficient Fine-Tuning for Group Robustness}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33878},
}

@inproceedings{iclr2024_conr_34426,
  title = {{ConR: Contrastive Regularizer for Deep Imbalanced Regression}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18649},
}

@inproceedings{icml2024_realistic_44657,
  title = {{Realistic Unsupervised CLIP Fine-tuning with Universal Entropy Optimization}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33795},
}

@inproceedings{aaai2025_tdattenmix_10932,
  title = {{TdAttenMix: Top-Down Attention Guided Mixup}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32888},
}

@inproceedings{cvpr2025_sdbf_27509,
  title = {{SDBF: Steep-Decision-Boundary Fingerprinting for Hard-Label Tampering Detection of DNN Models}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/32606},
}

@inproceedings{iclr2024_hyper_33802,
  title = {{Hyper Evidential Deep Learning to Quantify Composite Classification Uncertainty}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19273},
}