% Key papers for Spurious-aware OOD detection (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{iclr2018_enhancing_28487,
  title = {{Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2018},
  url = {https://iclr.cc/virtual/2018/poster/264},
}

@inproceedings{neurips2020_energy_59785,
  title = {{Energy-based Out-of-distribution Detection}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17313},
}

@inproceedings{cvpr2022_vim_20169,
  title = {{ViM: Out-of-Distribution With Virtual-Logit Matching}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{cvpr2021_mos_17377,
  title = {{MOS: Towards Scaling Out-of-Distribution Detection for Large Semantic Space}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{aaai2020_self_102104,
  title = {{Self-Supervised Learning for Generalizable Out-of-Distribution Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/5966},
}

@inproceedings{neurips2021_exploring_62961,
  title = {{Exploring the Limits of Out-of-Distribution Detection}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/27825},
}

@inproceedings{cvpr2020_deep_15372,
  title = {{Deep Residual Flow for Out of Distribution Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{cvpr2022_rethinking_19725,
  title = {{Rethinking Reconstruction Autoencoder-Based Out-of-Distribution Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{icml2020_detecting_38102,
  title = {{Detecting Out-of-Distribution Examples with Gram Matrices}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/6703},
}

@inproceedings{icml2020_can_37998,
  title = {{Can Autonomous Vehicles Identify, Recover From, and Adapt to Distribution Shifts?}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/6266},
}

@inproceedings{cvpr2021_out_17552,
  title = {{Out-of-Distribution Detection Using Union of 1-Dimensional Subspaces}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{aaai2020_detecting_101852,
  title = {{Detecting Semantic Anomalies}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/5712},
}

@inproceedings{cvpr2020_background_15183,
  title = {{Background Data Resampling for Outlier-Aware Classification}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{neurips2021_react_61849,
  title = {{ReAct: Out-of-distribution Detection With Rectified Activations}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/27015},
}

@inproceedings{iclr2021_ssd_30717,
  title = {{SSD: A Unified Framework for Self-Supervised Outlier Detection}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2021},
  url = {https://iclr.cc/virtual/2021/poster/2676},
}

@inproceedings{cvpr2022_neural_19436,
  title = {{Neural Mean Discrepancy for Efficient Out-of-Distribution Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{neurips2021_on_62836,
  title = {{On the Importance of Gradients for Detecting Distributional Shifts in the Wild}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/27990},
}

@inproceedings{neurips2021_can_62795,
  title = {{Can multi-label classification networks know what they don’t know?}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/28461},
}

@inproceedings{neurips2020_ood_60444,
  title = {{OOD-MAML: Meta-Learning for Few-Shot Out-of-Distribution Detection and Classification}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17004},
}

@inproceedings{cvpr2024_learning_23970,
  title = {{Learning Transferable Negative Prompts for Out-of-Distribution Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30310},
}

@inproceedings{cvpr2024_cores_22928,
  title = {{CORES: Convolutional Response-based Score for Out-of-distribution Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31353},
}

@inproceedings{aaai2024_unsupervised_7720,
  title = {{Unsupervised Layer-Wise Score Aggregation for Textual OOD Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29742},
}

@inproceedings{cvpr2025_detecting_25911,
  title = {{Detecting Out-of-Distribution Through the Lens of Neural Collapse}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/32587},
}

@inproceedings{cvpr2025_openmibood_27159,
  title = {{OpenMIBOOD: Open Medical Imaging Benchmarks for Out-Of-Distribution Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33159},
}

@inproceedings{aaai2024_learning_6493,
  title = {{Learning by Erasing: Conditional Entropy Based Transferable Out-of-Distribution Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28444},
}

@inproceedings{cvpr2025_leveraging_26779,
  title = {{Leveraging Perturbation Robustness to Enhance Out-of-Distribution Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/32402},
}

@inproceedings{cvpr2025_oodd_27097,
  title = {{OODD: Test-time Out-of-Distribution Detection with Dynamic Dictionary}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/35007},
}

@inproceedings{neurips2024_adaneg_74358,
  title = {{AdaNeg: Adaptive Negative Proxy Guided OOD Detection with Vision-Language Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93203},
}

@inproceedings{aaai2024_tagfog_7490,
  title = {{TagFog: Textual Anchor Guidance and Fake Outlier Generation for Visual Out-of-Distribution Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/27871},
}

@inproceedings{aaai2024_exploiting_5905,
  title = {{Exploiting Discrepancy in Feature Statistic for Out-of-Distribution Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29961},
}

@inproceedings{cvpr2025_cadref_25633,
  title = {{CADRef: Robust Out-of-Distribution Detection via Class-Aware Decoupled Relative Feature Leveraging}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33650},
}

@inproceedings{neurips2024_conjugated_74056,
  title = {{Conjugated Semantic Pool Improves OOD Detection with Pre-trained Vision-Language Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93471},
}

@inproceedings{neurips2024_self_74396,
  title = {{Self-Calibrated Tuning of Vision-Language Models for Out-of-Distribution Detection}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/93172},
}

@inproceedings{aaai2025_ml_9854,
  title = {{ML-GOOD: Towards Multi-Label Graph Out-Of-Distribution Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33718},
}

@inproceedings{iclr2024_neco_33780,
  title = {{NECO: NEural Collapse Based Out-of-distribution detection}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/19295},
}

@inproceedings{cvpr2025_prohoc_27300,
  title = {{ProHOC: Probabilistic Hierarchical Out-of-Distribution Classification via Multi-Depth Networks}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33918},
}

@inproceedings{neurips2024_setar_70566,
  title = {{SeTAR: Out-of-Distribution Detection with Selective Low-Rank Approximation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96549},
}

@inproceedings{neurips2024_weiper_70743,
  title = {{WeiPer: OOD Detection using Weight Perturbations of Class Projections}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96381},
}

@inproceedings{neurips2024_energy_72449,
  title = {{Energy-based Hopfield Boosting for Out-of-Distribution Detection}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94909},
}