% Key papers for Extrapolation and single-sample adaptation (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{icml2019_fast_37357,
  title = {{Fast Context Adaptation via Meta-Learning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2019},
  url = {https://icml.cc/virtual/2019/poster/4086},
}

@inproceedings{neurips2017_selective_56659,
  title = {{Selective Classification for Deep Neural Networks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2017},
  url = {https://nips.cc/virtual/2017/poster/9264},
}

@inproceedings{neurips2019_addressing_57875,
  title = {{Addressing Failure Prediction by Learning Model Confidence}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/13474},
}

@inproceedings{neurips2019_cold_58000,
  title = {{Cold Case: The Lost MNIST Digits}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/14619},
}

@inproceedings{neurips2019_dtwnet_58083,
  title = {{DTWNet: a Dynamic Time Warping Network}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/14144},
}

@inproceedings{cvpr2024_test_24974,
  title = {{Test-Time Domain Generalization for Face Anti-Spoofing}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30429},
}

@inproceedings{iclr2020_you_29569,
  title = {{You Only Train Once: Loss-Conditional Training of Deep Networks}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2020},
  url = {https://openreview.net/forum?id=HyxY6JHKwr},
}

@inproceedings{iclr2021_overfitting_30626,
  title = {{Overfitting for Fun and Profit: Instance-Adaptive Data Compression}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2021},
  url = {https://iclr.cc/virtual/2021/poster/3371},
}

@inproceedings{cvpr2022_rio_19665,
  title = {{RIO: Rotation-Equivariance Supervised Learning of Robust Inertial Odometry}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2022},
}

@inproceedings{neurips2020_the_60936,
  title = {{The Cone of Silence: Speech Separation by Localization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2020},
  url = {https://nips.cc/virtual/2020/poster/18107},
}

@inproceedings{neurips2019_fixing_58288,
  title = {{Fixing the train-test resolution discrepancy}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/13893},
}

@inproceedings{cvpr2024_localization_24021,
  title = {{Localization Is All You Evaluate: Data Leakage in Online Mapping Datasets and How to Fix It}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/30723},
}

@inproceedings{cvpr2018_diversenet_13030,
  title = {{DiverseNet: When One Right Answer Is Not Enough}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018},
  url = {https://openaccess.thecvf.com/content_cvpr_2018/html/Firman_DiverseNet_When_One_CVPR_2018_paper.html},
}

@inproceedings{cvpr2023_cloud_20591,
  title = {{Cloud-Device Collaborative Adaptation to Continual Changing Environments in the Real-World}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21430},
}

@inproceedings{cvpr2024_t4p_24933,
  title = {{T4P: Test-Time Training of Trajectory Prediction via Masked Autoencoder and Actor-specific Token Memory}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2024},
  url = {https://cvpr.thecvf.com/virtual/2024/poster/29713},
}

@inproceedings{aaai2025_bridging_8315,
  title = {{Bridging the Gap for Test-Time Multimodal Sentiment Analysis}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33867},
}

@inproceedings{iclr2021_improving_30246,
  title = {{Improving Transformation Invariance in Contrastive Representation Learning}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2021},
  url = {https://iclr.cc/virtual/2021/poster/2855},
}

@inproceedings{icml2023_data_41688,
  title = {{Data Feedback Loops: Model-driven Amplification of Dataset Biases}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2023},
  url = {https://icml.cc/virtual/2023/poster/24298},
}

@inproceedings{cvpr2023_ground_21105,
  title = {{Ground-Truth Free Meta-Learning for Deep Compressive Sampling}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2023},
  url = {https://cvpr.thecvf.com/virtual/2023/poster/21972},
}

@inproceedings{neurips2021_on_61967,
  title = {{On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/27722},
}

@inproceedings{cvpr2025_metawriter_26948,
  title = {{MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33836},
}

@inproceedings{aaai2025_online_10193,
  title = {{Online Fraud Detection via Test-Time Retrieval-Based Representation Enrichment}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33359},
}

@inproceedings{aaai2025_cosee_8359,
  title = {{COSEE: Consistency-Oriented Signal-Based Early Exiting via Calibrated Sample Weighting Mechanism}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/34576},
}

@inproceedings{cvpr2025_tartan_27823,
  title = {{Tartan IMU: A Light Foundation Model for Inertial Positioning in Robotics}},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2025},
  url = {https://cvpr.thecvf.com/virtual/2025/poster/33873},
}

@inproceedings{iclr2024_fusing_34380,
  title = {{Fusing Models with Complementary Expertise}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18695},
}

@inproceedings{neurips2024_dual_72533,
  title = {{Dual-frame Fluid Motion Estimation with Test-time Optimization and Zero-divergence Loss}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2024},
  url = {https://neurips.cc/virtual/2024/poster/94835},
}

@inproceedings{neurips2025_searching_75859,
  title = {{Searching Latent Program Spaces}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2025},
  url = {https://openreview.net/forum?id=CsXKGIqZtr},
}

@inproceedings{aaai2025_ghidorah_9342,
  title = {{Ghidorah: Towards Robust Multi-Scale Information Diffusion Prediction via Test-Time Training}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2025},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/33470},
}

@inproceedings{icml2024_the_43258,
  title = {{The Entropy Enigma: Success and Failure of Entropy Minimization}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/35194},
}

@inproceedings{aaai2026_lost_106975,
  title = {{Lost in Time? A Meta-Learning Framework for Time-Shift-Tolerant Physiological Signal Transformation}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2026},
  url = {https://ojs.aaai.org/index.php/AAAI/article/view/39327},
}

@inproceedings{icml2026_learning_49869,
  title = {{Learning to Extrapolate to New Tasks: A Relational Approach to Task Extrapolation}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=6cUXJo03zv},
}

@inproceedings{icml2026_gfmate_50884,
  title = {{GFMate: Empowering Graph Foundation Models with Test-time Prompt Tuning}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=GdyuWMAH8P},
}

@inproceedings{icml2026_coupled_52513,
  title = {{Coupled Training with Privileged Information and Unlabeled Data}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=WlCYSqjnqS},
}

@inproceedings{iclr2026_when_84194,
  title = {{When to Retrain after Drift: A Data-Only Test of Post-Drift Data Size Sufficiency}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=05PqjBzN6S},
}

@inproceedings{iclr2026_test_86058,
  title = {{Test-Time Mixture of World Models for Embodied Agents in Dynamic Environments}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=LQD1MrnbxH},
}

@inproceedings{iclr2026_get_86390,
  title = {{Get RICH or Die Scaling: Profitably Trading Inference Compute for Robustness}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=PLZx2hpauY},
}