OOD Generalization

OOD: Out-of-Distribution

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  1. REACH: Interpretability-Driven Feature Identification and Architecture Compression for Multi-Channel Vehicular Channel Estimation

    Jun 10, 2026Simbarashe Aldrin Ngorima, Albert Helberg, Marelie H. DavelFeature AttributionOOD Generalization

  2. U-TTT: Towards Generalizable PET Image Denoising via Test-Time Training

    Jun 9, 2026Zhiwen Yang, Jiayin Li, Hao Lu +3OOD GeneralizationPET/CT Imaging

  3. Least-Action-Guided Diffusion for Physical Extrapolation

    Jun 9, 2026Zhongxin Yang, Yuanwei Bin, Xiang I. A. Yang +1Physics-Informed Diffusion ModelsPhysics-Informed Generative Modeling

  4. NGram-MoSE: Efficient Remote Sensing Super-Resolution via N-Gram Context and Mixture-of-Experts

    Jun 7, 2026Yun-Hsuan Huang, Trong-An Bui, Chih-Hung ChuangOOD GeneralizationRemote Sensing Image Super-Resolution

  5. Constraint-Aware Optimization for Robust Protein Stability Prediction

    Jun 6, 2026A Shivram, Aneesh S. Chivukula, Manik Gupta +1OOD GeneralizationProtein Language Models

  6. Land cover and flood type govern the detection limits of satellite-based flood mapping across diverse global flood events

    Jun 5, 2026Venkatesh Kolluru, Rajat Shinde, Abdelhak Marouane +6Remote Sensing Image SegmentationGeospatial Foundation Models

  7. The Effect of Training Task Diversity on In-Context Learning through the Lens of Low-Dimensional Subspaces

    Jun 5, 2026Soo Min Kwon, Alec S. Xu, Can Yaras +3OOD GeneralizationTransformer Attention

  8. Beyond Soft Masks: Hard-Perturbation Mixup Explainer for Robust GNN Explainability

    Jun 4, 2026Jialiang Yin, Zheng Zhao, Linsey Pang +3OOD GeneralizationGNN Explainability

  9. Data-efficient flood depth prediction through domain-aware coreset selection and tabular foundation models

    Jun 3, 2026Lipai Huang, Adithi Srinath, Manas Singh +2Surrogate ModelingOOD Generalization

  10. Invariant Gradient Alignment for Robust Reasoning Distillation

    Jun 3, 2026Zehua Cheng, Wei Dai, Jiahao SunCoT DistillationDomain Generalization

  11. ADAPTOOD: Uncertainty-Aware Fine-Tuning for Out-of-Distribution ECG Time Series Models

    Jun 2, 2026Sotirios Vavaroutas, Yu Yvonne Wu, Ali Etemad +1Distribution Shift RobustnessUnsupervised Domain Adaptation

  12. Outsmarting the Chameleon: Counterfactual Decoupling for Tactical OOD Shifts in Live Streaming Risk Assessment

    Jun 1, 2026Yiran Qiao, Jing Chen, Jiaqi Xu +3Distribution Shift RobustnessCausal Representation Learning

  13. CORE-MTL: Rethinking Gradient Balancing via Causal Orthogonal Representations

    Jun 1, 2026Chengfeng Wu, Tao Zou, Yanru Wu +1Disentangled Representation LearningCausal Representation Learning

  14. On the Generalization in Topology Optimization via Sensitivity-Conditioned Bernoulli Flow Matching

    Jun 1, 2026Mohammad Rashed, Duarte F. Valoroso Madeira, Babak Gholami +3Neural Surrogate ModelingTopology Optimization

  15. VLBM: Variational Latent Basis Modeling for OOD Robust Multivariate Time Series Forecasting

    Jun 1, 2026Xudong Zhang, Jierui Lei, Jiacheng Li +3Multivariate Time Series ForecastingLatent Variable Models

  16. Suppressing Forgery-Specific Shortcuts for Generalizable Deepfake Detection

    Jun 1, 2026Yihui Wang, Yonghui Yang, Jilong Liu +3OOD GeneralizationDeepfake Detection

  17. Shortcut to Nowhere: Demystifying Deep Spurious Regression

    Jun 1, 2026Guanrong Xu, Jessica Li, Hao Wang +1OOD GeneralizationSpurious Correlation Robustness

  18. Emergent Ordinal Geometry in Transformers Trained on Local Comparisons

    May 31, 2026Nishit SinghLogical ReasoningNeural Representation Geometry

  19. The Paradox of Outcome Optimization: A Causal Information-Theoretic Bound on Reasoning Shortcuts in LLMs

    May 30, 2026Zihan Chen, Yiming Zhang, Wenxiang Geng +2Process Reward ModelsRL for Language Model Reasoning

  20. A Practical Upper Bound on Selection Bias Effects in Medical Prediction Models

    May 30, 2026Kara Liu, Maggie Wang, Russ B. AltmanOOD GeneralizationSelection Bias

  21. Escaping the Mode Lottery: Multi-Response Training Improves Language Model Generalization

    May 30, 2026Hasan Amin, Kian Ahrabian, Ming Yin +1LLM Fine-TuningOOD Generalization

  22. Out-of-Distribution generalization of quantile regression with heavy tailed inputs: an SVM approach

    May 29, 2026Baptiste Leroux, Clément Dombry, Anne SabourinQuantile RegressionOOD Generalization

  23. OOD-GraphLLM: Graph Large Language Model for Out-of-Distribution Generalized Drug Synergy Prediction

    May 28, 2026Xin Wang, Linxin Xiao, Yang Yao +1OOD GeneralizationMultimodal Graph Learning

  24. Learning to Extrapolate to New Tasks: A Relational Approach to Task Extrapolation

    May 28, 2026Adam Ousherovitch, Yixin WangOOD GeneralizationCompositional Generalization

  25. Test Time Training for Supervised Causal Learning

    May 28, 2026Zizhen Deng, Jiaru Zhang, Rui Ding +5OOD GeneralizationCausal Discovery

  26. Mitigating Stethoscope-Induced Shortcuts in Respiratory Sound Classification under Federated Domain Generalization with Causality-Inspired Interventions

    May 28, 2026Heejoon Koo, Yoon Tae Kim, Miika Toikkanen +1OOD GeneralizationShortcut Learning

  27. OptSkills: Learning Generalizable Optimization Skills from Problem Archetypes via Cluster-Based Distillation

    May 28, 2026Haochen Yang, Ke Zhao, Mengyuan Ma +3Large Language Model-Guided OptimizationOOD Generalization

  28. A Systematic Evaluation of Molecular Mixture Behavior Prediction

    May 28, 2026Roel J. Leenhouts, Nathan K. Morgan, William Green +2OOD GeneralizationMolecular Property Prediction

  29. TRACER: Persistent Regularization for Robust Multimodal Finetuning

    May 28, 2026Hesam Asadollahzadeh, Feng Liu, Christopher Leckie +1VLM RobustnessNeural Network Robustness