% Key papers for Uncertainty and misclassification detection (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{iclr2017_a_28277,
  title = {{A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2017},
  url = {https://openreview.net/forum?id=Hkg4TI9xl},
}

@inproceedings{neurips2020_csi_59500,
  title = {{CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17776},
}

@inproceedings{cvpr2023_implicit_21221,
  title = {{Implicit Identity Leakage: The Stumbling Block to Improving Deepfake Detection Generalization}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21940},
}

@inproceedings{cvpr2024_transcending_25080,
  title = {{Transcending Forgery Specificity with Latent Space Augmentation for Generalizable Deepfake Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31638},
}

@inproceedings{iclr2020_your_29536,
  title = {{Your classifier is secretly an energy based model and you should treat it like one}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2020},
  url = {https://openreview.net/forum?id=Hkxzx0NtDB},
}

@inproceedings{icml2022_mitigating_40833,
  title = {{Mitigating Neural Network Overconfidence with Logit Normalization}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2022},
  url = {https://icml.cc/virtual/2022/poster/16539},
}

@inproceedings{cvpr2023_openmix_21785,
  title = {{OpenMix: Exploring Outlier Samples for Misclassification Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21522},
}

@inproceedings{aaai2021_multidimensional_1035,
  title = {{Multidimensional Uncertainty-Aware Evidential Neural Networks}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/07815-multidimensional-uncertainty-aware-evidential-neural-networks/},
}

@inproceedings{aaai2024_toward_7574,
  title = {{Toward More Generalized Malicious URL Detection Models}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30161},
}

@inproceedings{iclr2023_a_32752,
  title = {{A Call to Reflect on Evaluation Practices for Failure Detection in Image Classification}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2023},
  url = {https://iclr.cc/virtual/2023/poster/11579},
}

@inproceedings{aaai2025_early_8886,
  title = {{Early Concept Drift Detection via Prediction Uncertainty}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34105},
}

@inproceedings{iclr2023_broken_33288,
  title = {{Broken Neural Scaling Laws}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2023},
  url = {https://iclr.cc/virtual/2023/poster/10842},
}

@inproceedings{cvpr2025_d_25851,
  title = {{D^3: Scaling Up Deepfake Detection by Learning from Discrepancy}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34870},
}

@inproceedings{aaai2023_improving_3893,
  title = {{Improving Training and Inference of Face Recognition Models via Random Temperature Scaling}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/26760},
}

@inproceedings{cvpr2024_universal_25143,
  title = {{Universal Novelty Detection Through Adaptive Contrastive Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31710},
}

@inproceedings{iclr2022_pi3nn_31207,
  title = {{PI3NN: Out-of-distribution-aware Prediction Intervals from Three Neural Networks}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2022},
  url = {https://iclr.cc/virtual/2022/poster/6974},
}

@inproceedings{neurips2023_neural_69052,
  title = {{Neural Relation Graph: A Unified Framework for Identifying Label Noise and Outlier Data}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/70823},
}

@inproceedings{aaai2020_a_101229,
  title = {{A Human-AI Loop Approach for Joint Keyword Discovery and Expectation Estimation in Micropost Event Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/5626},
}

@inproceedings{neurips2021_reliable_62894,
  title = {{Reliable and Trustworthy Machine Learning for Health Using Dataset Shift Detection}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/28470},
}

@inproceedings{neurips2022_uqgan_65524,
  title = {{UQGAN: A Unified Model for Uncertainty Quantification of Deep Classifiers trained via Conditional GANs}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/54777},
}

@inproceedings{aaai2025_fakediffer_9139,
  title = {{FakeDiffer: Distributional Disparity Learning on Differentiated Reconstruction for Face Forgery Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32809},
}

@inproceedings{cvpr2025_simplification_27678,
  title = {{Simplification Is All You Need against Out-of-Distribution Overconfidence}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33661},
}

@inproceedings{neurips2024_credal_71987,
  title = {{Credal Deep Ensembles for Uncertainty Quantification}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95324},
}

@inproceedings{cvpr2025_psbd_27205,
  title = {{PSBD: Prediction Shift Uncertainty Unlocks Backdoor Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33106},
}

@inproceedings{neurips2024_hyper_72325,
  title = {{Hyper-opinion Evidential Deep Learning for Out-of-Distribution Detection}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95022},
}

@inproceedings{icml2024_uncertainty_44090,
  title = {{Uncertainty Estimation by Density Aware Evidential Deep Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34362},
}

@inproceedings{neurips2024_gess_71024,
  title = {{GeSS: Benchmarking Geometric Deep Learning under Scientific Applications with Distribution Shifts}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/97816},
}

@inproceedings{aaai2025_rectified_10488,
  title = {{Rectified Lagrangian for Out-of-Distribution Detection in Modern Hopfield Networks}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34153},
}

@inproceedings{iclr2024_a_35397,
  title = {{A Data-Driven Measure of Relative Uncertainty for Misclassification Detection}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/17676},
}

@inproceedings{icml2026_gem_50663,
  title = {{GEM-FI: Gated Evidential Mixtures with Fisher Modulation}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=Ec4qUT3UKG},
}

@inproceedings{icml2026_geometrically_54407,
  title = {{Geometrically Constrained Outlier Synthesis}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=odLc0zNtyX},
}

@inproceedings{neurips2024_typicalness_72222,
  title = {{Typicalness-Aware Learning for Failure Detection}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95120},
}

@inproceedings{neurips2024_mano_73734,
  title = {{MaNo: Exploiting Matrix Norm for Unsupervised Accuracy Estimation Under Distribution Shifts}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93765},
}

@inproceedings{neurips2025_towards_76748,
  title = {{Towards Generalizable Detector for Generated Image}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=MeawZGFIcT},
}

@inproceedings{iclr2025_provably_83256,
  title = {{Provably Safeguarding a Classifier from OOD and Adversarial Samples}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/28554},
}