% Key papers for Confidence-based pseudo-label selection (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2021_meta_17401,
  title = {{Meta Pseudo Labels}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{neurips2021_flexmatch_61289,
  title = {{FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/27400},
}

@inproceedings{aaai2021_curriculum_344,
  title = {{Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/06912-curriculum-labeling-revisiting-pseudo-labeling-for-semi-supervised-learning/},
}

@inproceedings{cvpr2021_crest_16681,
  title = {{CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{neurips2019_learning_58538,
  title = {{Learning to Self-Train for Semi-Supervised Few-Shot Classification}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/14042},
}

@inproceedings{neurips2020_rethinking_60715,
  title = {{Rethinking the Value of Labels for Improving Class-Imbalanced Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/18331},
}

@inproceedings{cvpr2021_simple_17896,
  title = {{SimPLE: Similar Pseudo Label Exploitation for Semi-Supervised Classification}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{iclr2023_freematch_32523,
  title = {{FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2023},
  url = {https://iclr.cc/virtual/2023/poster/11372},
}

@inproceedings{cvpr2022_acpl_18229,
  title = {{ACPL: Anti-Curriculum Pseudo-Labelling for Semi-Supervised Medical Image Classification}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2022_class_18456,
  title = {{Class-Aware Contrastive Semi-Supervised Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2022_debiased_18596,
  title = {{Debiased Learning From Naturally Imbalanced Pseudo-Labels}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2022_daso_18566,
  title = {{DASO: Distribution-Aware Semantics-Oriented Pseudo-Label for Imbalanced Semi-Supervised Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{neurips2020_distribution_59723,
  title = {{Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/18565},
}

@inproceedings{iclr2021_in_29929,
  title = {{In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2021},
  url = {https://iclr.cc/virtual/2021/poster/3255},
}

@inproceedings{cvpr2022_cross_18554,
  title = {{Cross-Model Pseudo-Labeling for Semi-Supervised Action Recognition}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2023_boosting_20497,
  title = {{Boosting Semi-Supervised Learning by Exploiting All Unlabeled Data}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22144},
}

@inproceedings{cvpr2023_pefat_21807,
  title = {{PEFAT: Boosting Semi-Supervised Medical Image Classification via Pseudo-Loss Estimation and Feature Adversarial Training}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21228},
}

@inproceedings{cvpr2021_all_16591,
  title = {{All Labels Are Not Created Equal: Enhancing Semi-Supervision via Label Grouping and Co-Training}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{aaai2016_robust_105104,
  title = {{Robust Semi-Supervised Learning through Label Aggregation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2016},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/10276},
}

@inproceedings{aaai2018_learning_102495,
  title = {{Learning From Semi-Supervised Weak-Label Data}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/11762},
}

@inproceedings{aaai2024_pseudo_7027,
  title = {{Pseudo-Label Calibration Semi-supervised Multi-Modal Entity Alignment}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28762},
}

@inproceedings{cvpr2024_cdmad_22906,
  title = {{CDMAD: Class-Distribution-Mismatch-Aware Debiasing for Class-Imbalanced Semi-Supervised Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29675},
}

@inproceedings{aaai2024_rpsc_7059,
  title = {{RPSC: Robust Pseudo-Labeling for Semantic Clustering}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29309},
}

@inproceedings{aaai2024_roll_7188,
  title = {{Roll with the Punches: Expansion and Shrinkage of Soft Label Selection for Semi-supervised Fine-Grained Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29068},
}

@inproceedings{aaai2024_three_7561,
  title = {{Three Heads Are Better than One: Complementary Experts for Long-Tailed Semi-supervised Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29334},
}

@inproceedings{cvpr2025_cgmatch_25647,
  title = {{CGMatch: A Different Perspective of Semi-supervised Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34967},
}

@inproceedings{aaai2024_bacon_5261,
  title = {{BaCon: Boosting Imbalanced Semi-supervised Learning via Balanced Feature-Level Contrastive Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29084},
}

@inproceedings{aaai2025_semi_10734,
  title = {{Semi-Supervised Multi-View Multi-Label Learning with View-Specific Transformer and Enhanced Pseudo-Label}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34028},
}

@inproceedings{aaai2025_regmixmatch_10496,
  title = {{RegMixMatch: Optimizing Mixup Utilization in Semi-Supervised Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33872},
}

@inproceedings{aaai2024_twice_7663,
  title = {{Twice Class Bias Correction for Imbalanced Semi-supervised Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29260},
}

@inproceedings{aaai2024_leveraging_6524,
  title = {{Leveraging Local Variance for Pseudo-Label Selection in Semi-supervised Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29350},
}

@inproceedings{cvpr2025_mind_26953,
  title = {{Mind the Gap: Confidence Discrepancy Can Guide Federated Semi-Supervised Learning Across Pseudo-Mismatch}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33062},
}

@inproceedings{cvpr2025_stil_27556,
  title = {{STiL: Semi-supervised Tabular-Image Learning for Comprehensive Task-Relevant Information Exploration in Multimodal Classification}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/32905},
}

@inproceedings{iclr2024_semireward_34829,
  title = {{SemiReward: A General Reward Model for Semi-supervised Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18245},
}

@inproceedings{aaai2025_probability_10367,
  title = {{Probability-Density-aware Semi-supervised Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34085},
}

@inproceedings{cvpr2024_molecular_24180,
  title = {{Molecular Data Programming: Towards Molecule Pseudo-labeling with Systematic Weak Supervision}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30224},
}

@inproceedings{neurips2025_rankmatch_77057,
  title = {{RankMatch: A Novel Approach to Semi-Supervised Label Distribution Learning Leveraging Rank Correlation between Labels}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=Q8QMhJFSk4},
}

@inproceedings{aaai2025_generalized_9319,
  title = {{Generalized Debiased Semi-Supervised Hashing for Large-Scale Image Retrieval}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32600},
}

@inproceedings{aaai2025_lcgc_9666,
  title = {{LCGC: Learning from Consistency Gradient Conflicting for Class-Imbalanced Semi-Supervised Debiasing}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/35474},
}

@inproceedings{aaai2025_momentum_9984,
  title = {{Momentum Pseudo-Labeling for Weakly Supervised Phrase Grounding}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34612},
}