% Key papers for Contrastive learning on noisy data (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2017_learning_12404,
  title = {{Learning From Noisy Large-Scale Datasets With Minimal Supervision}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2017},
}

@inproceedings{cvpr2018_deep_12987,
  title = {{Deep Unsupervised Saliency Detection: A Multiple Noisy Labeling Perspective}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Zhang_Deep_Unsupervised_Saliency_CVPR_2018_paper.html},
}

@inproceedings{cvpr2021_partially_17583,
  title = {{Partially View-Aligned Representation Learning With Noise-Robust Contrastive Loss}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{cvpr2019_unequal_14961,
  title = {{Unequal-Training for Deep Face Recognition With Long-Tailed Noisy Data}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2019},
}

@inproceedings{icml2019_noise2self_37576,
  title = {{Noise2Self: Blind Denoising by Self-Supervision}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2019},
  url = {https://icml.cc/virtual/2019/poster/4200},
}

@inproceedings{cvpr2023_twin_22428,
  title = {{Twin Contrastive Learning With Noisy Labels}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22189},
}

@inproceedings{cvpr2022_the_20008,
  title = {{The Devil Is in the Labels: Noisy Label Correction for Robust Scene Graph Generation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{iclr2021_sharpness_30015,
  title = {{Sharpness-aware Minimization for Efficiently Improving Generalization}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2021},
  url = {https://iclr.cc/virtual/2021/poster/2782},
}

@inproceedings{cvpr2022_robust_19749,
  title = {{Robust Contrastive Learning Against Noisy Views}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{neurips2018_robot_57584,
  title = {{Robot Learning in Homes: Improving Generalization and Reducing Dataset Bias}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11867},
}

@inproceedings{cvpr2022_robust_19752,
  title = {{Robust Equivariant Imaging: A Fully Unsupervised Framework for Learning To Image From Noisy and Partial Measurements}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{aaai2019_soft_101717,
  title = {{Soft Facial Landmark Detection by Label Distribution Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2019},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/4432},
}

@inproceedings{neurips2020_superloss_60902,
  title = {{SuperLoss: A Generic Loss for Robust Curriculum Learning}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17638},
}

@inproceedings{cvpr2023_rono_21973,
  title = {{RONO: Robust Discriminative Learning With Noisy Labels for 2D-3D Cross-Modal Retrieval}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22147},
}

@inproceedings{neurips2019_correlated_58057,
  title = {{Correlated Uncertainty for Learning Dense Correspondences from Noisy Labels}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/13321},
}

@inproceedings{aaai2024_negative_6755,
  title = {{Negative Pre-aware for Noisy Cross-Modal Matching}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28564},
}

@inproceedings{cvpr2024_sure_24731,
  title = {{SURE: SUrvey REcipes for building reliable and robust deep networks}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29462},
}

@inproceedings{neurips2019_on_58718,
  title = {{On Single Source Robustness in Deep Fusion Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/13628},
}

@inproceedings{cvpr2025_learning_26766,
  title = {{Learning with Noisy Triplet Correspondence for Composed Image Retrieval}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33393},
}

@inproceedings{cvpr2020_task_16327,
  title = {{Task Agnostic Robust Learning on Corrupt Outputs by Correlation-Guided Mixture Density Networks}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2024_unsupervised_25162,
  title = {{Unsupervised Deep Unrolling Networks for Phase Unwrapping}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30204},
}

@inproceedings{aaai2025_roda_10567,
  title = {{RoDA: Robust Domain Alignment for Cross-Domain Retrieval Against Label Noise}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33033},
}

@inproceedings{cvpr2025_d2sp_25810,
  title = {{D2SP: Dynamic Dual-Stage Purification Framework for Dual Noise Mitigation in Vision-based Affective Recognition.}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/32629},
}

@inproceedings{aaai2025_tsvc_10918,
  title = {{TSVC: Tripartite Learning with Semantic Variation Consistency for Robust Image-Text Retrieval}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34121},
}

@inproceedings{aaai2024_rog_7058,
  title = {{ROG\_PL: Robust Open-Set Graph Learning via Region-Based Prototype Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28788},
}

@inproceedings{aaai2024_robust_7181,
  title = {{Robust Visual Recognition with Class-Imbalanced Open-World Noisy Data}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29642},
}

@inproceedings{cvpr2025_minding_26957,
  title = {{Minding Fuzzy Regions: A Data-driven Alternating Learning Paradigm for Stable Lesion Segmentation}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33839},
}

@inproceedings{iclr2024_unraveling_33891,
  title = {{Unraveling the Enigma of Double Descent: An In-depth Analysis through the Lens of Learned Feature Space}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19184},
}

@inproceedings{neurips2024_self_73804,
  title = {{Self-Distilled Depth Refinement with Noisy Poisson Fusion}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93704},
}

@inproceedings{cvpr2026_conesep_98859,
  title = {{ConeSep: Cone-based Robust Noise-Unlearning Compositional Network for Composed Image Retrieval}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  url = {https://openaccess.thecvf.com/content/CVPR2026/html/Li_ConeSep_Cone-based_Robust_Noise-Unlearning_Compositional_Network_for_Composed_Image_Retrieval_CVPR_2026_paper.html},
}

@inproceedings{icml2025_automatically_48246,
  title = {{Automatically Identify and Rectify: Robust Deep Contrastive Multi-view Clustering in Noisy Scenarios}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/44366},
}

@inproceedings{neurips2024_rejection_71585,
  title = {{Rejection via Learning Density Ratios}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95685},
}

@inproceedings{iclr2026_noisy_89041,
  title = {{Noisy-Pair Robust Representation Alignment for Positive-Unlabeled Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=tzJMLU2yRC},
}

@inproceedings{cvpr2026_drainage_96432,
  title = {{Drainage: A Unifying Framework for Addressing Class Uncertainty}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  url = {https://openaccess.thecvf.com/content/CVPR2026/html/Taha_Drainage_A_Unifying_Framework_for_Addressing_Class_Uncertainty_CVPR_2026_paper.html},
}

@inproceedings{cvpr2026_batch_99040,
  title = {{Batch Loss Score for Dynamic Data Pruning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2026},
  url = {https://openaccess.thecvf.com/content/CVPR2026/html/Zhou_Batch_Loss_Score_for_Dynamic_Data_Pruning_CVPR_2026_paper.html},
}

@inproceedings{aaai2026_leveraging_100534,
  title = {{Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/37381},
}

@inproceedings{aaai2026_radar_104692,
  title = {{Radar-APLANC: Unsupervised Radar-based Heartbeat Sensing via Augmented Pseudo-Label and Noise Contrast}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/37996},
}