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

@inproceedings{neurips2017_mean_56473,
  title = {{Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2017},
  url = {https://nips.cc/virtual/2017/poster/8912},
}

@inproceedings{cvpr2020_towards_16355,
  title = {{Towards Discriminability and Diversity: Batch Nuclear-Norm Maximization Under Label Insufficient Situations}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{aaai2018_deepheart_105782,
  title = {{DeepHeart: Semi-Supervised Sequence Learning for Cardiovascular Risk Prediction}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/11891},
}

@inproceedings{iclr2020_revisiting_29632,
  title = {{Revisiting Self-Training for Neural Sequence Generation}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2020},
  url = {https://openreview.net/forum?id=SJgdnAVKDH},
}

@inproceedings{cvpr2021_exponential_16983,
  title = {{Exponential Moving Average Normalization for Self-Supervised and Semi-Supervised Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2022_towards_20064,
  title = {{Towards Semi-Supervised Deep Facial Expression Recognition With an Adaptive Confidence Margin}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{iclr2021_theoretical_30664,
  title = {{Theoretical Analysis of Self-Training with Deep Networks on Unlabeled Data}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2021},
  url = {https://iclr.cc/virtual/2021/poster/2547},
}

@inproceedings{icml2019_infinite_37451,
  title = {{Infinite Mixture Prototypes for Few-shot Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2019},
  url = {https://icml.cc/virtual/2019/poster/4256},
}

@inproceedings{aaai2022_galaxy_2140,
  title = {{GALAXY: A Generative Pre-trained Model for Task-Oriented Dialog with Semi-supervised Learning and Explicit Policy Injection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/10749-galaxy-a-generative-pre-trained-model-for-task-oriented-dialog-with-semi-supervised-learning-and-explicit-policy-injection/},
}

@inproceedings{icml2019_dl2_37263,
  title = {{DL2: Training and Querying Neural Networks with Logic}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2019},
  url = {https://icml.cc/virtual/2019/poster/4331},
}

@inproceedings{cvpr2021_self_17851,
  title = {{Self-Supervised Learning for Semi-Supervised Temporal Action Proposal}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{aaai2021_what_1635,
  title = {{What the Role is vs. What Plays the Role: Semi-Supervised Event Argument Extraction via Dual Question Answering}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/14638-what-the-role-is-vs-what-plays-the-role-semi-supervised-event-argument-extraction-via-dual-question-answering/},
}

@inproceedings{cvpr2020_flow_15556,
  title = {{Flow Contrastive Estimation of Energy-Based Models}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2020_a_15081,
  title = {{A Semi-Supervised Assessor of Neural Architectures}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2020_deep_15348,
  title = {{Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{aaai2016_modeling_105204,
  title = {{Modeling Evolving Relationships Between Characters in Literary Novels}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2016},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10358},
}

@inproceedings{aaai2018_inferring_99832,
  title = {{Inferring Emotion from Conversational Voice Data: A Semi-Supervised Multi-Path Generative Neural Network Approach}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/11280},
}

@inproceedings{aaai2016_global_105223,
  title = {{Global Distant Supervision for Relation Extraction}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2016},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10377},
}

@inproceedings{iclr2022_backdoor_31324,
  title = {{Backdoor Defense via Decoupling the Training Process}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2022},
  url = {https://iclr.cc/virtual/2022/poster/6519},
}

@inproceedings{icml2022_active_40206,
  title = {{Active Learning on a Budget: Opposite Strategies Suit High and Low Budgets}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2022},
  url = {https://icml.cc/virtual/2022/poster/17719},
}

@inproceedings{aaai2024_multilevel_6717,
  title = {{Multilevel Attention Network with Semi-supervised Domain Adaptation for Drug-Target Prediction}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/27786},
}

@inproceedings{aaai2024_data_5588,
  title = {{Data Augmented Graph Neural Networks for Personality Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/27823},
}

@inproceedings{aaai2024_mcssme_6567,
  title = {{MCSSME: Multi-Task Contrastive Learning for Semi-supervised Singing Melody Extraction from Polyphonic Music}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/27790},
}

@inproceedings{aaai2025_semi_10730,
  title = {{Semi-IIN: Semi-Supervised Intra-Inter Modal Interaction Learning Network for Multimodal Sentiment Analysis}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32131},
}

@inproceedings{aaai2025_sefar_10700,
  title = {{SeFAR: Semi-supervised Fine-grained Action Recognition with Temporal Perturbation and Learning Stabilization}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32400},
}

@inproceedings{aaai2024_response_7122,
  title = {{Response Enhanced Semi-supervised Dialogue Query Generation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29790},
}

@inproceedings{cvpr2025_moda_26876,
  title = {{MODA: Motion-Drift Augmentation for Inertial Human Motion Analysis}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33829},
}

@inproceedings{aaai2024_semi_7314,
  title = {{Semi-supervised Learning of Dynamical Systems with Neural Ordinary Differential Equations: A Teacher-Student Model Approach}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29498},
}

@inproceedings{neurips2024_selective_73324,
  title = {{Selective Generation for Controllable Language Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94121},
}

@inproceedings{aaai2024_trend_7654,
  title = {{Trend-Aware Supervision: On Learning Invariance for Semi-supervised Facial Action Unit Intensity Estimation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/27803},
}

@inproceedings{iclr2024_multimodal_33878,
  title = {{Multimodal Learning Without Labeled Multimodal Data: Guarantees and Applications}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19197},
}

@inproceedings{icml2026_leveraging_55225,
  title = {{Leveraging Lineage Barcodes as Natural Augmentations for Contrastive Learning of Cell Fate in scRNA-seq Data}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=wqS6MURCFQ},
}

@inproceedings{icml2024_unveiling_43482,
  title = {{Unveiling the Dynamics of Information Interplay in Supervised Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34970},
}

@inproceedings{icml2025_info_47526,
  title = {{Info-Coevolution: An Efficient Framework for Data Model Coevolution}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/45070},
}

@inproceedings{icml2025_towards_48735,
  title = {{Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/43887},
}

@inproceedings{icml2026_prediction_51608,
  title = {{Prediction-Powered Risk Monitoring of Deployed Models for Detecting Harmful Distribution Shifts}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=O57TtEyCrW},
}

@inproceedings{icml2026_semi_52426,
  title = {{Semi-Supervised Hypothesis Testing by Betting on Predictions}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=Vt0tmqhfDM},
}

@inproceedings{neurips2024_s_74408,
  title = {{S-MolSearch: 3D Semi-supervised Contrastive Learning for Bioactive Molecule Search}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93161},
}

@inproceedings{neurips2025_starformer_78482,
  title = {{STaRFormer: Semi-Supervised Task-Informed Representation Learning via Dynamic Attention-Based Regional Masking for Sequential Data}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=fDR4hzavDF},
}

@inproceedings{neurips2025_lie_80293,
  title = {{Lie Detector: Unified Backdoor Detection via Cross-Examination Framework}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=yBWRrqPwyN},
}