OOD Generalization

OOD: Out-of-Distribution

Latest papers 261

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  1. AVSRBench: A Multi-Condition AVSR Benchmark

    Sep 9, 2026Rishabh Jain, Naomi HarteASR EvaluationOOD Generalization

  2. Development and Validation of a Physics-Guided Machine Learning Extrapolation Framework Using a Classical Transient Diffusion Benchmark

    Sep 9, 2026Ashutosh Yadav, Alok Dubey, Prodyut Ranjan Chakraborty +1PDE Surrogate ModelingOOD Generalization

  3. Accountable and uncertainty-aware evaluation of sensor-based AI under distribution shift: devices, subjects, and nearly three years underground

    Sep 8, 2026Benny Platte, Rico Thomanek, Christian Roschke +1AI AccountabilityUncertainty Quantification

  4. RevalExo: A Functional Daily-Activity Benchmark for Inertial and Visual Locomotion Mode Recognition in Older Adults and Clinical Cohorts

    Sep 8, 2026Diwas Lamsal, Juha Carlon, Reinhard Claeys +8Human Activity RecognitionOOD Generalization

  5. Marigold V2: Revisiting Diffusion Transformers for Monocular Depth Estimation

    Sep 8, 2026Igor Pavlovic, Thiemo Wandel, Anton Obukhov +6Diffusion TransformerOOD Generalization

  6. DF26: We Cannot Tell Fake From Real Anymore

    Sep 7, 2026Severyn Shykula, Andrii Yermakov, Ivan Samarskyi +3Text-to-Video GenerationOOD Generalization

  7. Weakly-supervised Kidney Tumor Classification from CT Scans with Multi-Instance Learning and Anatomical Filtering

    Sep 7, 2026Joonas Ariva, Dmytro FishmanOOD GeneralizationMedical Image Classification

  8. Out-of-Distribution Generalisation with Sequence Models in Offline Multi-Agent Reinforcement Learning

    Sep 3, 2026Oussama Hidaoui, Omer Ebead, Ulrich Armel Mbou Sob +14Zero-Shot LearningReinforcement Learning

  9. Textual Acoustic Grounding for Generalizable LLM-Based Deepfake Voice Detection

    Aug 31, 2026Yassine El Kheir, Xin Wang, Wanqing Ge +3Audio Deepfake DetectionOOD Generalization

  10. Benchmarking Peptide-Protein Affinity Prediction Across Peptide and Target Shifts

    Aug 31, 2026Jiaxin Tian, Darren An, Jun LiProtein-Ligand Binding Affinity PredictionOOD Generalization

  11. Reliability analysis for BraTS-GoAT segmentation: a controlled robustness study of deep-ensemble uncertainty

    Aug 13, 2026Riya Deepak Shet, Le ZhangUncertainty QuantificationNeural Network Robustness

  12. PatchGen: Learning Soft Intra-Image Predictive Subsets for Visual Generalization

    Aug 13, 2026Zhaorui Tan, Weimiao Yu, Xi YangOOD Generalization

  13. Epiplexity Guided Data Selection and Generation for Out-of-Distribution Generalization

    Aug 12, 2026Ellen Su, Andres Potapczynski, Shikai Qiu +2Synthetic Data GenerationOOD Generalization

  14. Large-scale AI-Ready Data for Anti-Cancer Drug Response Modeling

    Aug 11, 2026Vincent Lavelle, Yitan Zhu, Kaitlyn Marlor +2Benchmark DesignOOD Generalization

  15. Domain-Aware Pruning: Sparsity and Domain Generalization via Regularized Probabilistic Masking

    Aug 9, 2026Parham Sazdar, Mostafa Tavassolipour, Reshad HosseiniDomain GeneralizationOOD Generalization

  16. Out-of-Distribution Federated Distillation with Domain-Aware Proxy

    Aug 9, 2026Jiahao Xiao, Jiangming LiuOOD GeneralizationFederated Knowledge Distillation

  17. Why Knowing Both Hops Is Not Enough: Understanding Two-Hop Generalization in Language Models

    Aug 7, 2026Zili Zhang, Yilin Wang, Heng Wang +2Transformer InterpretabilityOOD Generalization

  18. SkillTFM: Gated Skill Evolution for Training-Free Adaptation of Tabular Foundation Models

    Aug 6, 2026Yi He, Zhengkang Guan, Anpeng Wu +3Tabular Foundation ModelsTest-Time Adaptation

  19. Why the Third Axis Is Freedom

    Aug 5, 2026Michael Timothy BennettOOD GeneralizationGenerative Modeling

  20. Protoreasoning in Tiny Transformers

    Aug 5, 2026Eduardo Valle, Fergal ReidCoT ReasoningOOD Generalization

  21. Conditionally Identifiable Latent-Environment Modeling for Out-of-Distribution Recommendation

    Aug 4, 2026Qianqian Wang, Wenwu Gong, Yunshan Li +3Latent Variable ModelsOOD Generalization

  22. Test-Time Augmentation for Tabular-to-Image Classifiers under Distribution Shifts

    Aug 4, 2026Malena Loza, Felipe Grijalva, Eva Milara +3Distribution Shift RobustnessDistribution Shift

  23. Convex-Hull-Neighborhood Smooth Dual Generalization: Controlling Local Correction Propagation in Offline RL

    Aug 4, 2026Yi Yang, Zhennan Chen, Mingfeng Lv +3OOD GeneralizationOffline RL

  24. Contrast-invariant deep ptychography neural networks

    Aug 3, 2026Albert Vong, Steven Henke, Oliver Hoidn +6OOD GeneralizationImage Reconstruction

  25. Reassessing the Feasibility of PPG-Based Non-Invasive Blood Glucose Level Estimation

    Aug 3, 2026Supraja Ramesh, Markus Neufeld, Michael Küttner +2Data LeakageOOD Generalization

  26. Assessing the Generalization of Graph Neural Networks for Fault Location Across Increasing Distributed Energy Resource Penetration Levels

    Jul 31, 2026Burak Karabulut, Olayiwola Arowolo, Carlo Manna +2OOD GeneralizationFault Localization

  27. Uncertainty-Aware Deepfake Detection via Multi-View Structural Learning

    Jul 30, 2026Muhammad Umar Farooq, Kutub Uddin, Awais Khan +1Multi-View LearningOOD Generalization