% Key papers for Safe and realistic semi-supervised learning (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{neurips2018_realistic_57549,
  title = {{Realistic Evaluation of Deep Semi-Supervised Learning Algorithms}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11327},
}

@inproceedings{aaai2017_variational_105844,
  title = {{Variational Autoencoder for Semi-Supervised Text Classification}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2017},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10966},
}

@inproceedings{aaai2020_semi_101903,
  title = {{Semi-Supervised Learning under Class Distribution Mismatch}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/5763},
}

@inproceedings{icml2020_safe_38722,
  title = {{Safe Deep Semi-Supervised Learning for Unseen-Class Unlabeled Data}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/6319},
}

@inproceedings{aaai2017_learning_104479,
  title = {{Learning Safe Prediction for Semi-Supervised Regression}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2017},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10856},
}

@inproceedings{cvpr2022_cossl_18474,
  title = {{CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2022_safe_19789,
  title = {{Safe-Student for Safe Deep Semi-Supervised Learning With Unseen-Class Unlabeled Data}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{icml2021_dash_39193,
  title = {{Dash: Semi-Supervised Learning with Dynamic Thresholding}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2021},
  url = {https://icml.cc/virtual/2021/poster/10121},
}

@inproceedings{cvpr2021_alphamatch_16593,
  title = {{AlphaMatch: Improving Consistency for Semi-Supervised Learning With Alpha-Divergence}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{iclr2022_open_31210,
  title = {{Open-World Semi-Supervised Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2022},
  url = {https://iclr.cc/virtual/2022/poster/7118},
}

@inproceedings{neurips2022_usb_64900,
  title = {{USB: A Unified Semi-supervised Learning Benchmark for Classification}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/55710},
}

@inproceedings{cvpr2021_a_16543,
  title = {{A Realistic Evaluation of Semi-Supervised Learning for Fine-Grained Classification}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{neurips2021_abc_61206,
  title = {{ABC: Auxiliary Balanced Classifier for Class-imbalanced Semi-supervised Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/28140},
}

@inproceedings{aaai2019_joint_101595,
  title = {{Joint Semi-Supervised Feature Selection and Classification through Bayesian Approach}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/4290},
}

@inproceedings{icml2017_semi_36389,
  title = {{Semi-Supervised Classification Based on Classification from Positive and Unlabeled Data}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2017},
  url = {https://icml.cc/virtual/2017/poster/603},
}

@inproceedings{aaai2016_towards_105110,
  title = {{Towards Safe Semi-Supervised Learning for Multivariate Performance Measures}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2016},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10282},
}

@inproceedings{neurips2021_openmatch_61414,
  title = {{OpenMatch: Open-Set Semi-supervised Learning with Open-set Consistency Regularization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/28546},
}

@inproceedings{aaai2018_semi_102545,
  title = {{Semi-Supervised AUC Optimization Without Guessing Labels of Unlabeled Data}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/11812},
}

@inproceedings{aaai2022_not_2476,
  title = {{Not All Parameters Should Be Treated Equally: Deep Safe Semi-supervised Learning under Class Distribution Mismatch}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/06874-not-all-parameters-should-be-treated-equally-deep-safe-semi-supervised-learning-under-class-distribution-mismatch/},
}

@inproceedings{aaai2019_towards_101624,
  title = {{Towards Automated Semi-Supervised Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/4330},
}

@inproceedings{aaai2024_anedl_5101,
  title = {{ANEDL: Adaptive Negative Evidential Deep Learning for Open-Set Semi-supervised Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29597},
}

@inproceedings{cvpr2024_bem_22807,
  title = {{BEM: Balanced and Entropy-based Mix for Long-Tailed Semi-Supervised Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30706},
}

@inproceedings{aaai2024_enhancing_5860,
  title = {{Enhancing Semi-supervised Domain Adaptation via Effective Target Labeling}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29130},
}

@inproceedings{aaai2025_semi_10736,
  title = {{Semi-Supervised Online Cross-Modal Hashing}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33954},
}

@inproceedings{iclr2024_robust_35365,
  title = {{Robust Training of Federated Models with Extremely Label Deficiency}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/17708},
}

@inproceedings{neurips2024_owmatch_74120,
  title = {{OwMatch: Conditional Self-Labeling with Consistency for Open-World Semi-Supervised Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93416},
}

@inproceedings{cvpr2025_learning_26754,
  title = {{Learning Textual Prompts for Open-World Semi-Supervised Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33330},
}

@inproceedings{cvpr2025_seek_27611,
  title = {{Seek Common Ground While Reserving Differences: Semi-Supervised Image-Text Sentiment Recognition}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34877},
}

@inproceedings{cvpr2025_towards_27897,
  title = {{Towards Cost-Effective Learning: A Synergy of Semi-Supervised and Active Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/32613},
}

@inproceedings{icml2024_interlude_45711,
  title = {{InterLUDE: Interactions between Labeled and Unlabeled Data to Enhance Semi-Supervised Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/32741},
}

@inproceedings{neurips2024_semi_73110,
  title = {{Semi-Supervised Sparse Gaussian Classification: Provable Benefits of Unlabeled Data}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94319},
}

@inproceedings{neurips2024_data_71932,
  title = {{Data Augmentation with Diffusion for Open-Set Semi-Supervised Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95374},
}

@inproceedings{neurips2024_reinforcement_72003,
  title = {{Reinforcement Learning Guided Semi-Supervised Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95311},
}

@inproceedings{aaai2024_contrastive_5498,
  title = {{Contrastive Credibility Propagation for Reliable Semi-supervised Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30124},
}

@inproceedings{icml2024_erasing_44978,
  title = {{Erasing the Bias: Fine-Tuning Foundation Models for Semi-Supervised Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33474},
}

@inproceedings{neurips2024_enhancing_74490,
  title = {{Enhancing Semi-Supervised Learning via Representative and Diverse Sample Selection}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93085},
}

@inproceedings{neurips2025_evaluating_75769,
  title = {{Evaluating multiple models using labeled and unlabeled data}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=BpwIPxSSdb},
}

@inproceedings{iclr2025_towards_80603,
  title = {{Towards Understanding Why FixMatch Generalizes Better Than Supervised Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/31162},
}

@inproceedings{iclr2025_re_82430,
  title = {{Re-Evaluating the Impact of Unseen-Class Unlabeled Data on Semi-Supervised Learning Model}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/29363},
}

@inproceedings{aaai2026_let_106842,
  title = {{Let the Void Be Void: Robust Open-Set Semi-Supervised Learning via Selective Non-Alignment}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/39194},
}