% Key papers for Robust fine-tuning for OOD generalization (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{cvpr2022_estimating_18776,
  title = {{Estimating Example Difficulty Using Variance of Gradients}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{aaai2020_likelihood_102970,
  title = {{Likelihood Ratios and Generative Classifiers for Unsupervised Out-of-Domain Detection in Task Oriented Dialog}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2020},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/6280},
}

@inproceedings{aaai2024_debiasing_5609,
  title = {{Debiasing Multimodal Sarcasm Detection with Contrastive Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2024},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/29795},
}

@inproceedings{aaai2021_masker_953,
  title = {{MASKER: Masked Keyword Regularization for Reliable Text Classification}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/13578-masker-masked-keyword-regularization-for-reliable-text-classification/},
}

@inproceedings{cvpr2022_deepface_18628,
  title = {{DeepFace-EMD: Re-Ranking Using Patch-Wise Earth Mover's Distance Improves Out-of-Distribution Face Identification}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{neurips2020_towards_60989,
  title = {{Towards Maximizing the Representation Gap between In-Domain \& Out-of-Distribution Examples}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/17642},
}

@inproceedings{aaai2026_cross_106301,
  title = {{Cross-modal Proxy Evolving for OOD Detection with Vision-Language Models}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/38608},
}

@inproceedings{cvpr2023_masked_21537,
  title = {{Masked Images Are Counterfactual Samples for Robust Fine-Tuning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21692},
}

@inproceedings{aaai2022_oodhdr_2513,
  title = {{OoDHDR-Codec: Out-of-Distribution Generalization for HDR Image Compression}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2022},
  url = {https://aaai.org/papers/00158-oodhdr-codec-out-of-distribution-generalization-for-hdr-image-compression/},
}

@inproceedings{neurips2023_benchmarking_68468,
  title = {{Benchmarking Distribution Shift in Tabular Data with TableShift}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2023},
  url = {https://nips.cc/virtual/2023/poster/73561},
}

@inproceedings{cvpr2023_out_21793,
  title = {{Out-of-Distributed Semantic Pruning for Robust Semi-Supervised Learning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/22390},
}

@inproceedings{cvpr2025_on_27134,
  title = {{On the Generalization of Handwritten Text Recognition Models}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34943},
}

@inproceedings{cvpr2025_overcoming_27172,
  title = {{Overcoming Shortcut Problem in VLM for Robust 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/34353},
}

@inproceedings{iclr2023_agree_32400,
  title = {{Agree to Disagree: Diversity through Disagreement for Better Transferability}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2023},
  url = {https://iclr.cc/virtual/2023/poster/11047},
}

@inproceedings{neurips2022_learning_63802,
  title = {{Learning Substructure Invariance for Out-of-Distribution Molecular Representations}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2022},
  url = {https://nips.cc/virtual/2022/poster/55440},
}

@inproceedings{iclr2023_a_33366,
  title = {{A Closer Look at Model Adaptation using Feature Distortion and Simplicity Bias}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2023},
  url = {https://iclr.cc/virtual/2023/poster/10773},
}

@inproceedings{icml2021_driftsurf_39271,
  title = {{DriftSurf: Stable-State / Reactive-State Learning under Concept Drift}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2021},
  url = {https://icml.cc/virtual/2021/poster/9929},
}

@inproceedings{cvpr2024_unexplored_25122,
  title = {{Unexplored Faces of Robustness and Out-of-Distribution: Covariate Shifts in Environment and Sensor Domains}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30006},
}

@inproceedings{iclr2024_does_35472,
  title = {{Does CLIP’s generalization performance mainly stem from high train-test similarity?}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/17601},
}

@inproceedings{icml2024_croft_45730,
  title = {{CRoFT: Robust Fine-Tuning with Concurrent Optimization for OOD Generalization and Open-Set OOD Detection}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/32722},
}

@inproceedings{neurips2024_benchmarking_73572,
  title = {{Benchmarking Out-of-Distribution Generalization Capabilities of DNN-based Encoding Models for the Ventral Visual Cortex.}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/97537},
}

@inproceedings{cvpr2025_cross_25797,
  title = {{Cross-Rejective Open-Set SAR Image Registration}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/34204},
}

@inproceedings{cvpr2025_do_25980,
  title = {{Do ImageNet-trained Models Learn Shortcuts? The Impact of Frequency Shortcuts on Generalization}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/32577},
}

@inproceedings{neurips2024_towards_71371,
  title = {{Towards Calibrated Robust Fine-Tuning of Vision-Language Models}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95878},
}

@inproceedings{aaai2025_adao2b_8019,
  title = {{AdaO2B: Adaptive Online to Batch Conversion for Out-of-Distribution Generalization}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34418},
}

@inproceedings{aaai2025_identifying_9501,
  title = {{Identifying Predictions That Influence the Future: Detecting Performative Concept Drift in Data Streams}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33276},
}

@inproceedings{iclr2024_overcoming_34364,
  title = {{Overcoming the Pitfalls of Vision-Language Model Finetuning for OOD Generalization}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18711},
}

@inproceedings{icml2026_less_52534,
  title = {{Less Precise Can Be More Reliable: A Systematic Evaluation of Quantization’s Impact on VLMs Beyond Accuracy}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=Wvd80GPJ9F},
}

@inproceedings{neurips2024_how_71300,
  title = {{How Far Can Transformers Reason? The Globality Barrier and Inductive Scratchpad}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/95947},
}

@inproceedings{neurips2024_predicting_72838,
  title = {{Predicting the Performance of Foundation Models via Agreement-on-the-Line}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94562},
}

@inproceedings{iclr2025_the_83912,
  title = {{The Pitfalls of Memorization: When Memorization Hurts Generalization}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/27908},
}

@inproceedings{icml2025_avoiding_46253,
  title = {{Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/46307},
}

@inproceedings{neurips2024_egonc_70367,
  title = {{EGonc : Energy-based Open-Set Node Classification with substitute Unknowns}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/96733},
}