% Key papers for Learning from unlabeled and positive-unlabeled data (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{neurips2016_equality_55710,
  title = {{Equality of Opportunity in Supervised Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/6907},
}

@inproceedings{cvpr2019_classification_13937,
  title = {{Classification-Reconstruction Learning for Open-Set Recognition}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2019_c2ae_13915,
  title = {{C2AE: Class Conditioned Auto-Encoder for Open-Set Recognition}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2016_a_11373,
  title = {{A Probabilistic Collaborative Representation Based Approach for Pattern Classification}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{cvpr2021_learning_17291,
  title = {{Learning Placeholders for Open-Set Recognition}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2019_soft_14849,
  title = {{Soft Labels for Ordinal Regression}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2020_generative_15599,
  title = {{Generative-Discriminative Feature Representations for Open-Set Recognition}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2018_between_12862,
  title = {{Between-Class Learning for Image Classification}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Tokozume_Between-Class_Learning_for_CVPR_2018_paper.html},
}

@inproceedings{cvpr2016_fashion_11544,
  title = {{Fashion Style in 128 Floats: Joint Ranking and Classification Using Weak Data for Feature Extraction}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2016},
}

@inproceedings{cvpr2019_stochastic_14871,
  title = {{Stochastic Class-Based Hard Example Mining for Deep Metric Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{aaai2018_estimating_102448,
  title = {{Estimating the Class Prior in Positive and Unlabeled Data Through Decision Tree Induction}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/11715},
}

@inproceedings{aaai2021_deep_388,
  title = {{Deep Open Intent Classification with Adaptive Decision Boundary}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/14374-deep-open-intent-classification-with-adaptive-decision-boundary/},
}

@inproceedings{cvpr2022_crowd_18559,
  title = {{Crowd Counting in the Frequency Domain}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{neurips2016_theoretical_56049,
  title = {{Theoretical Comparisons of Positive-Unlabeled Learning against Positive-Negative Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/7017},
}

@inproceedings{cvpr2022_fair_18828,
  title = {{Fair Contrastive Learning for Facial Attribute Classification}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{neurips2019_hyperspherical_58383,
  title = {{Hyperspherical Prototype Networks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/13365},
}

@inproceedings{icml2016_extreme_35831,
  title = {{Extreme F-measure Maximization using Sparse Probability Estimates}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2016},
  url = {https://proceedings.mlr.press/v48/jasinska16.html},
}

@inproceedings{aaai2016_semisupervised_104987,
  title = {{Semisupervised Autoencoder for Sentiment Analysis}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2016},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10159},
}

@inproceedings{aaai2020_logo_102223,
  title = {{Logo-2K+: A Large-Scale Logo Dataset for Scalable Logo Classification}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/6085},
}

@inproceedings{iclr2017_revisiting_28317,
  title = {{Revisiting Classifier Two-Sample Tests}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2017},
  url = {https://openreview.net/forum?id=SJkXfE5xx},
}

@inproceedings{aaai2024_multi_6683,
  title = {{Multi-Class Support Vector Machine with Maximizing Minimum Margin}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29361},
}

@inproceedings{cvpr2024_active_22709,
  title = {{Active Generalized Category Discovery}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31100},
}

@inproceedings{aaai2024_self_7286,
  title = {{Self-Distillation Regularized Connectionist Temporal Classification Loss for Text Recognition: A Simple Yet Effective Approach}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28575},
}

@inproceedings{cvpr2024_hyperspherical_23737,
  title = {{Hyperspherical Classification with Dynamic Label-to-Prototype Assignment}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29849},
}

@inproceedings{aaai2024_all_5160,
  title = {{All Beings Are Equal in Open Set Recognition}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29247},
}

@inproceedings{aaai2024_spanning_7375,
  title = {{Spanning the Spectrum of Hatred Detection: A Persian Multi-Label Hate Speech Dataset with Annotator Rationales}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29743},
}

@inproceedings{aaai2024_rr_7060,
  title = {{RR-PU: A Synergistic Two-Stage Positive and Unlabeled Learning Framework for Robust Tax Evasion Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28665},
}

@inproceedings{cvpr2024_positive_24498,
  title = {{Positive-Unlabeled Learning by Latent Group-Aware Meta Disambiguation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30927},
}

@inproceedings{aaai2024_novel_6797,
  title = {{Novel Class Discovery in Chest X-rays via Paired Images and Text}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28598},
}

@inproceedings{aaai2025_multi_10013,
  title = {{Multi-Granularity Open Intent Classification via Adaptive Granular-Ball Decision Boundary}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34630},
}

@inproceedings{aaai2025_from_9248,
  title = {{From Pairwise to Ranking: Climbing the Ladder to Ideal Collaborative Filtering with Pseudo-Ranking}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33462},
}

@inproceedings{icml2024_f_44395,
  title = {{\$f\$-Divergence Based Classification: Beyond the Use of Cross-Entropy}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34057},
}

@inproceedings{aaai2024_auc_5105,
  title = {{AUC Optimization from Multiple Unlabeled Datasets}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29538},
}

@inproceedings{aaai2025_rare_10461,
  title = {{Rare Event Detection in Imbalanced Multi-Class Datasets Using an Optimal MIP-Based Ensemble Weighting Approach}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34300},
}

@inproceedings{neurips2024_building_71744,
  title = {{Building a stable classifier with the inflated argmax}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95544},
}

@inproceedings{icml2024_rethinking_45800,
  title = {{Rethinking Guidance Information to Utilize Unlabeled Samples: A Label Encoding Perspective}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/32652},
}

@inproceedings{icml2025_bce_47822,
  title = {{BCE vs. CE in Deep Feature Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/44778},
}

@inproceedings{neurips2026_generative_94810,
  title = {{Generative Cross-Entropy: A Strictly Proper Loss for Data-Efficient Classification}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/154926},
}

@inproceedings{aaai2024_emfore_5821,
  title = {{EmFORE: Learning Email Folder Classification Rules by Demonstration}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30581},
}

@inproceedings{icml2024_score_43940,
  title = {{SCoRe: Submodular Combinatorial Representation Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34512},
}