OOD Generalization

OOD: Out-of-Distribution

Ask about this topic

Momentum

29 papers in the last four weeks, up 263% on the four weeks before. 0.3% of all new papers.

Jul 13Week of Sep 28
View on map

Latest papers 261

All topics
CardsList

  1. Prospective Prediction of OOD Degradation from Source-Side Training Dynamics

    Oct 8, 2026Sasha, MoninOOD GeneralizationNeural Network Training Dynamics

    Alexander · University of South Carolina 712 Main St, 404 Columbia SC, 29208

  2. MotiveMob: Motivation as Semantic Action for Closed-Loop Human Mobility Generation

    Oct 8, 2026Mengkun Gao, Zengqing Wu, Renhe Jiang +6Trajectory GenerationConditional Generative Modeling

    The University of Osaka · The University of Tokyo · The Hong Kong University of Science and Technology +1

  3. Physics-Aligned Electronic Ground-State Learning Improves Generalization

    Oct 7, 2026Eike S. Eberhard, Xaver Kainz, Viktor Kotsev +2Physics-Informed MLOOD Generalization

    Technical University of Munich (TUM) · Munich Data Science Institute (MDSI) · Munich Center for Machine Learning (MCML) +1

  4. Pretraining Shapes Spectral Structure: Architecture- and Strategy-Conditional Prediction of OOD Robustness in Foundation Models

    Oct 7, 2026Sangyoon Bae, Sk Miraj Ahmed, Shinjae Yoo +1OOD GeneralizationNeural Network Robustness

    Interdisciplinary Program in Artificial Intelligence Seoul National University Seoul, 08826, South Korea · Computational Science Initiative Brookhaven National Laboratory Upton, New York, 11973, USA · Department of Psychology Seoul National University Seoul, 08826, South Korea

  5. A Systematic Study of Small Language Models on Abstract Reasoning Tasks

    Oct 6, 2026Nur A Zarin Nishat, Jens Lehmann, Andrei Aioanei +1OOD GeneralizationLanguage Model Robustness

    Leibniz University of Hanover TIB – Leibniz Information Centre for Science and Technology and University Library · Amazon

  6. Complementary Supervised and Self-Supervised Representations for Out-of-Distribution Graph Learning

    Oct 6, 2026Qingying Hao, Zikang Chen, Chuxuan Hu +4Graph Neural NetworksGraph Representation Learning

    ShanghaiTech University Shanghai, China · University of Illinois Urbana-Champaign Urbana, Illinois, USA · The Pennsylvania State University University Park, Pennsylvania, USA

  7. Bilinear Flow Policy: Distributional Extrapolation for Goal-Conditioned Visuomotor Imitation

    Oct 5, 2026Wonsuhk Jung, Sundhar Vinodh Sangeetha, Chen Xu +4OOD GeneralizationVisuomotor Policy Learning

    Georgia Institute of Technology · Toyota Research Institute · University of Washington

  8. Beyond In-Distribution Preservation: Recovering Generalization in Quantized VLAs via Vulnerability-Oriented Tuning

    Oct 5, 2026Shen Ruan, Wenchang Gao, Jin Wang +4VLM QuantizationOOD Generalization

    Soochow University · Independent Researcher · Shanghai Jiao Tong University +2

  9. Arithmetic Actor Heads and Training Stabilization for Out-of-Distribution Reinforcement Learning

    Oct 4, 2026Yifan Zhang, Liang ZhengOOD GeneralizationSoft Actor-Critic

    Central South University

  10. Structure-agnostic Causal Representation Learning

    Oct 1, 2026Arman Behnam, Binghui WangCausal Representation LearningOOD Generalization

    Department of Computer Science Illinois Institute of Technology Chicago, IL, USA

  11. Unapologetically Distributed: A Call for Decentralized Document Analysis

    Sep 30, 2026Adrià Molina, Oriol Ramos Terrades, Josep LladósOOD GeneralizationDecentralized Learning

    Centre de Visió per Computador Universitat Autònoma de Barcelona Bellaterra, Catalonia · Computer Science Department Universitat Autònoma de Barcelona, Bellaterra, Catalonia

  12. How Many Samples Are Enough for Learning Across Domains?

    Sep 30, 2026Hong ZhengSample ComplexityDomain Generalization

    This work was completed during my Ph.D. period and was the result of a flash of inspiration. I decided to submit it to arXiv and leave its value to the readers.

  13. Attention Function as an Intrinsic Inductive Bias: How Models' Behavior Diverges in Novel Contexts

    Sep 30, 2026Dong Gyun Kang, Megha Thukral, Kwangsoo KimAttention Head AnalysisOOD Generalization

    College of Computing, Georgia Institute of Technology · Department of Transdisciplinary Medicine, Seoul National University Hospital

  14. Inductive Visual Logic for Few-Shot Out-Of-Distribution Adaptation in VLMs

    Sep 29, 2026Hung-Jen Chen, Yu-Heng Ho, Ting-Yao Huang +4Vision-Language ModelsFew-Shot Domain Adaptation

    National Tsing Hua University, Hsinchu, Taiwan · National Taiwan University, Taipei, Taiwan

  15. A Unified Uncertainty Representation for Graph Neural Networks via Doubly-Spectral Stochastic Expansion

    Sep 28, 2026Fred Xu, Thomas Markovich, Florence Regol +1Graph Neural NetworksUncertainty Quantification

    Department of Computer Science University of California, Los Angeles · Block, Inc. · Mila, Quebec AI Institute

  16. Beyond Site Agreement: Re-estimation for Brain Network Generalization

    Sep 28, 2026Yingxu Wang, Kunyu Zhang, Yanwu Yang3 +4Functional ConnectivityOOD Generalization

    Mohamed bin Zayed University of Artificial Intelligence · Zhengzhou University · University Hospital Tübingen +3

  17. OOD Generalization as a Bifurcation Problem

    Sep 27, 2026Nguyen-Thanh-Luong Doan, Quang-Vu Nguyen, Tang-Phu-Quy Le +1Diffusion Model GuidanceOOD Generalization

    The University of Danang - Vietnam-Korea University of Information and Communication Technology

  18. Instruct, Not Answer: Using Instruction Privileges in On-Policy Context Distillation

    Sep 26, 2026Hantao Yu, Xiaoxue Han, Udaya Ghai +4OOD GeneralizationOn-Policy Distillation

    Columbia University · Amazon Web Services

  19. Baszta: Data-Centric Fine-Tuning of a Polish Multi-Label Safety Classifier

    Sep 24, 2026Adam Górski, Mateusz Jąkalak, Rafał JakubowskiMulti-Label ClassificationLanguage Model Safety Evaluation

    Billennium S.A.

  20. Evaluation of pre-trained models for pedagogical assessment of novel AI-assisted educational questions

    Sep 23, 2026Michael Lawrence Castanares, Princess Ventures, Allan TanEducational AssessmentOOD Generalization

    Predictive Systems Inc, Ortigas, Pasig City, Philippines, 1605 · Better Labs Oy, Helsinki, Finland

  21. CVaR anchor regression protects against rare shifts

    Sep 22, 2026Malte LondschienDistribution Shift RobustnessRobust Regression

  22. RRSI: Regularized Recursive Self-Improvement of Agent Harnesses

    Sep 21, 2026Peng Xia, Rujun Han, Zifeng Wang +11OOD GeneralizationAgent Harness Optimization

    Google Cloud AI Research · UNC-Chapel Hill · Stanford University +1

  23. Learning Physics from an Imperfect Ancestor

    Sep 21, 2026S. Mohammad Mousavi, Teeratorn Kadeethum, Nikolaos Bouklas +1PDE Surrogate ModelingOOD Generalization

    Sibley School of Mechanical and Aerospace Engineering, Cornell University · AI Lab, Siemens Energy · Department of Civil and Systems Engineering, Johns Hopkins University

  24. Exactness at Inference: A Representational Criterion for Out-of-Distribution Generalization

    Sep 21, 2026Filipe Marinho Rocha, Inês Dutra, Vítor Santos Costa +1OOD GeneralizationCompositional Generalization

    Faculdade de Ciências da Universidade do Porto, Porto, Portugal · INESC TEC, Campus da FEUP, Porto, Portugal · Faculdade de Engenharia da Universidade do Porto, Rua Dr. Roberto Frias, Porto, Portugal +1

  25. Physics-residual machine learning predicts oxygen-evolution catalyst activity beyond the training range from sparse polarization measurements

    Sep 20, 2026Yong-Woon Kim, Jihyeok Lee, Sungtae Park +2OOD GeneralizationMaterials Property Prediction

    Department of Computer Engineering, Jeju National University, Jeju 63243, South Korea · Green Hydrogen Global Leading Research Center, Jeju National University, Jeju 63243, South Korea · Faculty of Applied Energy System, Jeju National University, Jeju 63243, South Korea +2

  26. Predicting Out-of-Distribution Generalization of Neural Operators via Observable Spectral Error Decomposition

    Sep 20, 2026Hang-Cheng Dong, Pengcheng ChengOOD GeneralizationPDE Operator Learning

    School of Instrumentation Science and Engineering, Harbin Institute of Technology, Harbin 150001, China · School of Mathematics, Jilin University, Changchun 130012, China

  27. CSWAM: Better Causal Semantic Representations for Out-of-Distribution Generalization in World Action Models

    Sep 16, 2026Tianbin Liu, Jian Zhu, Taiyi Su +5Causal Representation LearningWorld Models for Robotics

    AIRC, Midea Group · Tongji University

  28. Sample-Conditioned Representation Selection for Audio Few-Shot Learning

    Sep 15, 2026Fengrui Liu, Ningxin Shen, Yi Li +3Few-Shot Audio ClassificationAudio Representation Learning

    National Key Laboratory of Space Integrated Information System, Institute of Software, Chinese Academy of Sciences · School of Computer Science, Nanjing University · School of Computer Science and Technology, East China Normal University +1

  29. Beyond In-Distribution Metrics: A Systematic Out-of-Distribution Evaluation of Congenital Heart Disease Segmentation

    Sep 15, 2026Aniketh Vijesh, Shrisharanyan Vasu, Abhijit Ramesh +5Domain AdaptationOOD Generalization

    Amrita Vishwa Vidyapeetham, India · Amrita Institute of Medical Sciences and Research Centre, Amrita Vishwa Vidyapeetham, Kochi, Kerala, India

  30. Distance generalization in transformers: why bother with positional encoding?

    Sep 11, 2026Daniel Henrik Nevermann, Claudius GrosOOD GeneralizationPositional Encoding

    Institute for Theoretical Physics, Goethe University Frankfurt, Germany