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

@inproceedings{neurips2016_improved_55784,
  title = {{Improved Techniques for Training GANs}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/7026},
}

@inproceedings{neurips2016_regularization_55959,
  title = {{Regularization With Stochastic Transformations and Perturbations for Deep Semi-Supervised Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2016},
  url = {https://nips.cc/virtual/2016/poster/6911},
}

@inproceedings{cvpr2019_semi_14812,
  title = {{Semi-Supervised Transfer Learning for Image Rain Removal}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2019_unsupervised_14969,
  title = {{Unsupervised Deep Tracking}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{cvpr2018_learning_13324,
  title = {{Learning to Localize Sound Source in Visual Scenes}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Senocak_Learning_to_Localize_CVPR_2018_paper.html},
}

@inproceedings{neurips2017_good_56346,
  title = {{Good Semi-supervised Learning That Requires a Bad GAN}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2017},
  url = {https://nips.cc/virtual/2017/poster/9420},
}

@inproceedings{iclr2017_adversarial_28348,
  title = {{Adversarial Training Methods for Semi-Supervised Text Classification}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2017},
  url = {https://openreview.net/forum?id=r1X3g2_xl},
}

@inproceedings{cvpr2018_improving_13218,
  title = {{Improving Landmark Localization With 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/Honari_Improving_Landmark_Localization_CVPR_2018_paper.html},
}

@inproceedings{cvpr2020_a_15072,
  title = {{A Multi-Task Mean Teacher for Semi-Supervised Shadow Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2020_scrabblegan_16186,
  title = {{ScrabbleGAN: Semi-Supervised Varying Length Handwritten Text Generation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{aaai2018_adversarial_102367,
  title = {{Adversarial Dropout for Supervised and Semi-Supervised Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2018},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/11634},
}

@inproceedings{cvpr2020_transmatch_16377,
  title = {{TransMatch: A Transfer-Learning Scheme for Semi-Supervised Few-Shot Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2020_learning_15756,
  title = {{Learning From Synthetic Animals}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2020_gait_15586,
  title = {{Gait Recognition via Semi-supervised Disentangled Representation Learning to Identity and Covariate Features}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{neurips2017_semi_56664,
  title = {{Semi-supervised Learning with GANs: Manifold Invariance with Improved Inference}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2017},
  url = {https://nips.cc/virtual/2017/poster/9328},
}

@inproceedings{cvpr2021_what_18150,
  title = {{What if We Only Use Real Datasets for Scene Text Recognition? Toward Scene Text Recognition With Fewer Labels}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{neurips2017_semi_56663,
  title = {{Semi-Supervised Learning for Optical Flow with Generative Adversarial Networks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2017},
  url = {https://nips.cc/virtual/2017/poster/8832},
}

@inproceedings{cvpr2020_3fabrec_15058,
  title = {{3FabRec: Fast Few-Shot Face Alignment by Reconstruction}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2024_a_22655,
  title = {{A Semi-supervised Nighttime Dehazing Baseline with Spatial-Frequency Aware and Realistic Brightness Constraint}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31865},
}

@inproceedings{cvpr2021_more_17433,
  title = {{More Photos Are All You Need: Semi-Supervised Learning for Fine-Grained Sketch Based Image Retrieval}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{neurips2024_boosting_70664,
  title = {{Boosting Semi-Supervised Scene Text Recognition via Viewing and Summarizing}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96458},
}

@inproceedings{aaai2025_semi_10738,
  title = {{Semi-supervised Infrared Small Target Detection with Thermodynamic-Inspired Uneven Perturbation and Confidence Adaptation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33086},
}

@inproceedings{aaai2025_visrec_11249,
  title = {{VisRec: A Semi-Supervised Approach to Visibility Data Reconstruction in Radio Astronomy}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32069},
}

@inproceedings{icml2026_semi_49693,
  title = {{Semi-Supervised Neural Super-Resolution for Mesh-Based Simulations}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=4ohxGjPD5Z},
}

@inproceedings{icml2026_semi_50603,
  title = {{Semi-Supervised Gaze Estimation via Disentangled Subspace Contrastive Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=E3C6mg6v4b},
}

@inproceedings{neurips2025_unraveling_75179,
  title = {{Unraveling Metameric Dilemma for Spectral Reconstruction: A High-Fidelity Approach via Semi-Supervised Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=59TL8MpBzX},
}

@inproceedings{aaai2026_beyond_108534,
  title = {{Beyond Binary Classification: A Semi-supervised Approach to Generalized AI-generated Image Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/40886},
}

@inproceedings{icml2026_metastreet_50597,
  title = {{MetaStreet: Semi-Supervised Multimodal Learning for Street-Level Socioeconomic Prediction}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=E0C3iReFSD},
}