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

@inproceedings{neurips2020_unsupervised_61051,
  title = {{Unsupervised Data Augmentation for Consistency Training}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17433},
}

@inproceedings{iclr2017_temporal_28214,
  title = {{Temporal Ensembling for Semi-Supervised Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2017},
  url = {https://openreview.net/forum?id=BJ6oOfqge},
}

@inproceedings{cvpr2019_label_14371,
  title = {{Label Propagation for Deep Semi-Supervised Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{neurips2019_mixmatch_58609,
  title = {{MixMatch: A Holistic Approach to Semi-Supervised Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/13648},
}

@inproceedings{iclr2020_dividemix_29457,
  title = {{DivideMix: Learning with Noisy Labels as Semi-supervised Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2020},
  url = {https://openreview.net/forum?id=HJgExaVtwr},
}

@inproceedings{neurips2020_big_59468,
  title = {{Big Self-Supervised Models are Strong Semi-Supervised Learners}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/18925},
}

@inproceedings{iclr2020_remixmatch_29518,
  title = {{ReMixMatch: Semi-Supervised Learning with Distribution Matching and Augmentation Anchoring}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2020},
  url = {https://openreview.net/forum?id=HklkeR4KPB},
}

@inproceedings{cvpr2018_smooth_13597,
  title = {{Smooth Neighbors on Teacher Graphs for Semi-Supervised Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Luo_Smooth_Neighbors_on_CVPR_2018_paper.html},
}

@inproceedings{aaai2016_sand_105111,
  title = {{SAND: Semi-Supervised Adaptive Novel Class Detection and Classification over Data Stream}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2016},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10283},
}

@inproceedings{iclr2019_there_29180,
  title = {{There Are Many Consistent Explanations of Unlabeled Data: Why You Should Average}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2019},
  url = {https://iclr.cc/virtual/2019/poster/903},
}

@inproceedings{aaai2017_a_105855,
  title = {{A Unified Model for Cross-Domain and Semi-Supervised Named Entity Recognition in Chinese Social Media}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2017},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10977},
}

@inproceedings{icml2016_supervised_36000,
  title = {{Supervised and Semi-Supervised Text Categorization using LSTM for Region Embeddings}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2016},
  url = {https://proceedings.mlr.press/v48/johnson16.html},
}

@inproceedings{cvpr2021_adaptive_16571,
  title = {{Adaptive Consistency Regularization for Semi-Supervised Transfer Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2017_learning_12421,
  title = {{Learning by Association -- A Versatile Semi-Supervised Training Method for Neural Networks}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{neurips2020_vime_61068,
  title = {{VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17495},
}

@inproceedings{neurips2020_uncertainty_61031,
  title = {{Uncertainty-aware Self-training for Few-shot Text Classification}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17421},
}

@inproceedings{cvpr2023_promptcal_21935,
  title = {{PromptCAL: Contrastive Affinity Learning via Auxiliary Prompts for Generalized Novel Category Discovery}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21646},
}

@inproceedings{icml2017_self_36388,
  title = {{Self-Paced Co-training}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2017},
  url = {https://icml.cc/virtual/2017/poster/518},
}

@inproceedings{icml2016_deconstructing_35788,
  title = {{Deconstructing the Ladder Network Architecture}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2016},
  url = {https://proceedings.mlr.press/v48/pezeshki16.html},
}

@inproceedings{cvpr2019_mutual_14556,
  title = {{Mutual Learning of Complementary Networks via Residual Correction for Improving Semi-Supervised Classification}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2024_systematic_24931,
  title = {{Systematic Comparison of Semi-supervised and Self-supervised Learning for Medical Image Classification}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30049},
}

@inproceedings{cvpr2024_targeted_24958,
  title = {{Targeted Representation Alignment for Open-World Semi-Supervised Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29739},
}

@inproceedings{cvpr2024_towards_25043,
  title = {{Towards Generalizing to Unseen Domains with Few Labels}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31832},
}

@inproceedings{aaai2024_unknown_7707,
  title = {{Unknown-Aware Graph Regularization for Robust Semi-supervised Learning from Uncurated Data}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29227},
}

@inproceedings{cvpr2025_taste_27831,
  title = {{Taste More, Taste Better: Diverse Data and Strong Model Boost Semi-Supervised Crowd Counting}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/32982},
}

@inproceedings{aaai2024_scaling_7267,
  title = {{Scaling Up Semi-supervised Learning with Unconstrained Unlabelled Data}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29404},
}

@inproceedings{aaai2025_anatomical_8122,
  title = {{Anatomical Knowledge Mining and Matching for Semi-supervised Medical Multi-structure Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32699},
}

@inproceedings{aaai2025_open_10204,
  title = {{Open-world Radio Frequency Fingerprint Identification via Augmented Semi-supervised Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32003},
}

@inproceedings{aaai2025_geodesic_9338,
  title = {{Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33928},
}

@inproceedings{aaai2025_slrl_10615,
  title = {{SLRL: Semi-Supervised Local Community Detection Based on Reinforcement Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32044},
}

@inproceedings{neurips2024_rankup_73061,
  title = {{RankUp: Boosting Semi-Supervised Regression with an Auxiliary Ranking Classifier}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94365},
}

@inproceedings{aaai2025_dream_8624,
  title = {{DREAM: Decoupled Discriminative Learning with Bigraph-aware Alignment for Semi-supervised 2D-3D Cross-modal Retrieval}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33441},
}

@inproceedings{cvpr2025_a_25374,
  title = {{A Unified Framework for Heterogeneous Semi-supervised Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34104},
}

@inproceedings{cvpr2025_unlocking_28023,
  title = {{Unlocking the Potential of Unlabeled Data in Semi-Supervised Domain Generalization}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/32875},
}

@inproceedings{icml2024_otmatch_44456,
  title = {{OTMatch: Improving Semi-Supervised Learning with Optimal Transport}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/33996},
}

@inproceedings{icml2026_from_52154,
  title = {{From Human Labels to Literature: Semi-Supervised Learning of NMR Chemical Shifts at Scale}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=TDXx4EKHZ1},
}

@inproceedings{icml2026_semi_52165,
  title = {{Semi-Supervised Learning for Molecular Graphs via Ensemble Consensus}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=TIdOvVntmx},
}

@inproceedings{icml2026_learning_53384,
  title = {{Learning Discriminative and Generalizable Anomaly Detector for Dynamic Graph with Limited Supervision}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=f1C38SmxkP},
}

@inproceedings{icml2026_semi_53533,
  title = {{Semi-Supervised Learning with Noisy Proxy Covariates: Generalization Bounds and Distribution Regression}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=gMbMm6b7ss},
}

@inproceedings{icml2026_normality_53790,
  title = {{Normality Calibration in Semi-supervised Graph Anomaly Detection}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=ifjUMvvY05},
}