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

@inproceedings{cvpr2020_generalized_15591,
  title = {{Generalized ODIN: Detecting Out-of-Distribution Image Without Learning From Out-of-Distribution Data}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2020},
}

@inproceedings{aaai2022_zero_2968,
  title = {{Zero-Shot Out-of-Distribution Detection Based on the Pre-trained Model CLIP}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/06568-zero-shot-out-of-distribution-detection-based-on-the-pre-trained-model-clip/},
}

@inproceedings{neurips2020_on_60491,
  title = {{On the Value of Out-of-Distribution Testing: An Example of Goodhart's Law}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/16833},
}

@inproceedings{cvpr2023_gen_21040,
  title = {{GEN: Pushing the Limits of Softmax-Based Out-of-Distribution Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21065},
}

@inproceedings{neurips2022_openood_65645,
  title = {{OpenOOD: Benchmarking Generalized Out-of-Distribution Detection}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/55763},
}

@inproceedings{cvpr2021_mood_17376,
  title = {{MOOD: Multi-Level Out-of-Distribution Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2021},
}

@inproceedings{icml2022_out_40976,
  title = {{Out-of-Distribution Detection with Deep Nearest Neighbors}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2022},
  url = {https://icml.cc/virtual/2022/poster/16493},
}

@inproceedings{cvpr2023_rethinking_22050,
  title = {{Rethinking Out-of-Distribution (OOD) Detection: Masked Image Modeling Is All You Need}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/23070},
}

@inproceedings{aaai2022_provable_2593,
  title = {{Provable Guarantees for Understanding Out-of-Distribution Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/07831-provable-guarantees-for-understanding-out-of-distribution-detection/},
}

@inproceedings{cvpr2023_decoupling_20731,
  title = {{Decoupling MaxLogit for Out-of-Distribution Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21982},
}

@inproceedings{aaai2023_out_4320,
  title = {{Out-of-Distribution Detection Is Not All You Need}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2023},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/26732},
}

@inproceedings{cvpr2023_block_20490,
  title = {{Block Selection Method for Using Feature Norm in Out-of-Distribution Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21752},
}

@inproceedings{cvpr2023_balanced_20446,
  title = {{Balanced Energy Regularization Loss for Out-of-Distribution Detection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21978},
}

@inproceedings{cvpr2023_line_21311,
  title = {{LINe: Out-of-Distribution Detection by Leveraging Important Neurons}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22068},
}

@inproceedings{neurips2022_is_66185,
  title = {{Is Out-of-Distribution Detection Learnable?}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/55375},
}

@inproceedings{cvpr2024_id_23743,
  title = {{ID-like Prompt Learning for Few-Shot 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/29754},
}

@inproceedings{iclr2023_how_32821,
  title = {{How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection?}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2023},
  url = {https://iclr.cc/virtual/2023/poster/11816},
}

@inproceedings{iclr2023_extremely_33162,
  title = {{Extremely Simple Activation Shaping for Out-of-Distribution Detection}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2023},
  url = {https://iclr.cc/virtual/2023/poster/11506},
}

@inproceedings{aaai2022_idecode_2971,
  title = {{iDECODe: In-Distribution Equivariance for Conformal Out-of-Distribution Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/07104-idecode-in-distribution-equivariance-for-conformal-out-of-distribution-detection/},
}

@inproceedings{aaai2024_out_6882,
  title = {{Out-of-Distribution Detection in Long-Tailed Recognition with Calibrated Outlier Class Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/28217},
}

@inproceedings{aaai2024_how_6224,
  title = {{How to Overcome Curse-of-Dimensionality for Out-of-Distribution Detection?}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29960},
}

@inproceedings{cvpr2024_test_24975,
  title = {{Test-Time Linear 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/29591},
}

@inproceedings{cvpr2024_discriminability_23225,
  title = {{Discriminability-Driven Channel Selection 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/31491},
}

@inproceedings{neurips2024_kernel_71210,
  title = {{Kernel PCA for Out-of-Distribution Detection}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96025},
}

@inproceedings{aaai2024_eat_5777,
  title = {{EAT: Towards Long-Tailed Out-of-Distribution Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29508},
}

@inproceedings{cvpr2024_a_22650,
  title = {{A Noisy Elephant in the Room: Is Your Out-of-Distribution Detector Robust to Label Noise?}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30860},
}

@inproceedings{cvpr2025_dpu_25838,
  title = {{DPU: Dynamic Prototype Updating for Multimodal 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/33698},
}

@inproceedings{neurips2024_learning_70206,
  title = {{Learning to Shape In-distribution Feature Space for Out-of-distribution Detection}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96879},
}

@inproceedings{aaai2024_exploring_5913,
  title = {{Exploring Channel-Aware Typical Features for Out-of-Distribution Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29132},
}

@inproceedings{aaai2024_case_5328,
  title = {{CASE: Exploiting Intra-class Compactness and Inter-class Separability of Feature Embeddings for Out-of-Distribution Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/30100},
}

@inproceedings{aaai2025_itp_9498,
  title = {{ITP: Instance-Aware Test Pruning for Out-of-Distribution Detection}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/35479},
}

@inproceedings{cvpr2024_enhancing_23378,
  title = {{Enhancing the Power of OOD Detection via Sample-Aware Model Selection}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/31755},
}

@inproceedings{neurips2024_what_72628,
  title = {{What If the Input is Expanded in OOD Detection?}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94752},
}

@inproceedings{aaai2025_long_9816,
  title = {{Long-Tailed Out-of-Distribution Detection: Prioritizing Attention to Tail}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/32357},
}

@inproceedings{aaai2025_out_10229,
  title = {{Out-of-Distribution Detection with Prototypical Outlier Proxy}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33850},
}

@inproceedings{cvpr2025_joint_26669,
  title = {{Joint Out-of-Distribution Filtering and Data Discovery Active Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33684},
}

@inproceedings{aaai2026_out_106968,
  title = {{Out-of-Distribution Detection with Positive and Negative Prompt Supervision Using Large Language Models}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/39320},
}

@inproceedings{cvpr2025_dual_26017,
  title = {{Dual Energy-Based Model with Open-World Uncertainty Estimation 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/34815},
}