OOD Generalization

OOD: Out-of-Distribution

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

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  1. Searching for Robust Augmentations to Improve Out-of-Domain Generalization in Dermoscopic Skin Cancer Classification

    Jul 29, 2026Alexander Kozachok, Ilya Latyshev, Evgeny Karpulevich +3Skin Lesion ClassificationData Augmentation

    Trusted AI Research Center, Russian Academy of Sciences, 109004 Moscow, Russia

  2. Empirical Evaluation of Out-Of-Distribution Performance of Tabular Foundation Models

    Jul 28, 2026Malena Loza, David Chushig-Muzo, Eva Milara +3Distribution Shift RobustnessTabular Foundation Models

    Colegio de Ciencias e Ingenierías, Universidad San Francisco de Quito (USFQ), Quito, Ecuador · Department of Signal Theory and Communications, Telematics and Computing Systems, Rey Juan Carlos University, Madrid, Spain · Facultad de Ingeniería, Universidad Latina de Panamá, Ciudad de Panamá, Panamá

  3. Learning to Resolve Neutron Resonances with Fully Convolutional Neural Networks

    Jul 27, 2026Nataly R. Panczyk, Athanasios Stamatopoulos, Josef Svoboda +1OOD Generalization

    Dept. of Nuclear Engineering and Radiological Sciences University of Michigan, Ann Arbor, MI 48109 · Physics Division, Los Alamos National Laboratory Los Alamos, NM 87545 · Dept. of Computer Science and Engineering University of Michigan, Ann Arbor, MI 48109

  4. Capacity-Aware Deep Learning for Generalizable Traffic Volume Estimation Across Links and Cities

    Jul 27, 2026Léo Hein, Giovanni De Nunzio, Aurélie Pirayre +1Spatial GeneralizationOOD Generalization

    IFPEN, 1 et 4 avenue de Bois-Préau, 92852 Rueil-Malmaison, France · Université Gustave Eiffel, CNRS, LIGM, Marne-la-Vallée, 77454, France · Khalifa University, Math Department, Abu Dhabi, UAE

  5. Beyond Predictive Accuracy: A Reliability-Aware Audit of Molecular Representations for Human Olfaction

    Jul 25, 2026Kai Lun Huang, Wei Chieh SunOOD GeneralizationMolecular Property Prediction

    California State University, Fullerton · Department of Electrical and Computer Engineering California State University, Fullerton Fullerton, CA, USA · University of Washington +1

  6. PRIMS: Physics-guided Representation for Fluid Identification in Multimodal Sensing

    Jul 24, 2026Hai-Long Nguyen, Trung Thanh Nguyen, Lars Holm +2OOD GeneralizationPhysics-Informed ML

    University of Twente, Netherlands · Nagoya University, Japan

  7. A Systematic Benchmark of Intensity Normalisation Methods for 3D Knee MRI Segmentation and Cross-Domain Generalisability

    Jul 22, 2026Oliver Mills, Philip Conaghan, Samuel ReltonMedical Image AnalysisOOD Generalization

    University of Leeds, Leeds, UK · NIHR Leeds Biomedical Research Centre, Leeds, UK

  8. GUIDED Network-Agnostic Feature Initialization for Spatial Transferability in GNN-based Models

    Jul 21, 2026Alessandro Scalese, Santhanakrishnan Narayanan, Constantinos AntoniouGraph Representation LearningIntelligent Transportation Systems

    Technical University of Munich, Arcisstrasse 21, 80333 Munich, Germany

  9. Simple Domain Generalization for Strong Pixel-Level Image Tampering Detection in Modern VLMs

    Jul 20, 2026Yi Tang, Xinyi Shang, Jiacheng Cui +12Vision-Language ModelsImage Forgery Detection

    Mohamed bin Zayed University of Artificial Intelligence · University College London · Weizmann Institute of Science

  10. Benchmarking NACTI Species Recognition in Long-Tailed Regimes

    Jul 20, 2026Zehua Liu, Tilo BurghardtLong-Tailed ClassificationOOD Generalization

    School of Computer Science, University of Bristol, MVB Woodland Rd, BS8 1UB, Bristol, UK

  11. Token-Level Off-Policy Learning for Faithful Generation Under Distribution Shift

    Jul 20, 2026Zitong Huang, Gustavo Lucas Carvalho, Deqing Fu +1Grounded Text GenerationOOD Generalization

    University of Southern California

  12. Routing Ceilings Are Domain-Independent: Structural Prior Injection in Code Security Vulnerability Detection

    Jul 16, 2026Manuel Israel CázaresLLM EvaluationSoftware Vulnerability Detection

    Bytepro AI Mazatlán, Sinaloa, Mexico

  13. Interleaved Noise Injection Improves Clean, Corrupted, and OOD Performance

    Jul 16, 2026Matt L. Wiemann, Peter Melchior, Andrew K. SaydjariImage Corruption RobustnessNeural Network Robustness

    Princeton University

  14. VoxENES 2026: Benchmarking Generalization of Speech Spoofing Detectors Against LLM-Era TTS and Voice Conversion

    Jul 13, 2026Aastha Sharma, Guangjing WangAudio Deepfake DetectionOOD Generalization

    University of South Florida, Tampa, FL, USA

  15. AutoMatBench: An Automatic Optimization Toolkit for the Acceleration of Material Properties Prediction Benchmarking

    Jul 13, 2026Hongxiao Li, Wanling GaoBenchmark DesignOOD Generalization

    Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China · University of Chinese Academy of Sciences, Beijing, China

  16. Beyond Scaffold Splits: Structural-Frontier Evaluation Reveals Hidden Failures in ADMET Models

    Jul 12, 2026Jiacheng Zheng, Chang Guo, Zixuan Wang +2OOD GeneralizationMolecular Property Prediction

    Marine College, Shandong University, No. 180 West Wenhua Road, Weihai, Shandong, China · Department of Mathematics, Faculty of Mathematical & Physical Sciences, University College London, London, United Kingdom · School of Life Science and Technology, Harbin Institute of Technology, Harbin, China +1

  17. Benchmarking the Robustness of Foundation Models for Mammography under Domain Shift

    Jul 11, 2026Giang Nguyen, Raghav Mehta, Emma A. M. Stanley +4Distribution Shift RobustnessMedical Imaging Foundation Models

    College of Engineering and Computer Science, VinUniversity, Hanoi, Vietnam · Imperial College London, London, UK · Radiology Department, Vietnam National Cancer Hospital, Hanoi, Vietnam +2

  18. TCLA: Training-Free Class-wise Logit Adaptation for Medical Vision-Language Models

    Jul 10, 2026Tianyou Jiang, Ziyu ZhouFew-Shot Domain AdaptationVLM Adaptation

    University of Bern, Bern, Switzerland · Shanghai Jiao Tong University, Shanghai, China

  19. Generalization Theory for Through-the-Wall Radar Human Activity Recognition

    Jul 9, 2026Weicheng GaoHuman Activity RecognitionOOD Generalization

    School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China · Key Laboratory of Electronic and Information Technology in Satellite Navigation, Beijing Institute of Technology, Beijing 100081, China

  20. Evaluating the Generalizability of Foundation Models for Extreme Environmental Events: Case Study of California Wildfire PM2.5

    Jul 8, 2026Yongcan Huang, Li Jiang, Ze Yu LiuWildfire ForecastingOOD Generalization

    College of Engineering, University of Georgia, Athens, Georgia, USA · Information System Department, UMBC, Baltimore, Maryland, USA · College of Graduate and Professional Studies, Trine University, Angola, Indiana, USA +1

  21. Prototype-Anchored Generalized Manifold Regression for Unknown-Domain Object Detection

    Jul 8, 2026Zihao Zhang, Aming Wu, Yang Li +1Domain GeneralizationOOD Generalization

    College of Intelligence and Computing, Tianjin Key Lab of Machine Learning, Tianjin University, Tianjin 300072, China · School of Computer Science and Information Engineering, Hefei University of Technology, China

  22. Geometric Self-Distillation for Reasoning Generalization

    Jul 7, 2026Josip Jukić, Ivan TitovOn-Policy Self-DistillationOOD Generalization

    ILLC, University of Amsterdam · ILCC, University of Edinburgh

  23. NEST: Tackling Dataset-Level Distribution Shifts via Regime-Oriented Mixture-of-Experts

    Jul 7, 2026Lanhao Li, Bingshu Xie, Lijun Sun +3Multivariate Time Series ForecastingLong-Term Time Series Forecasting

    1Beihang University

  24. Breaking Spurious Correlations via Generative Randomization and Cross-Variant Self-Supervised Learning

    Jul 7, 2026Suraj Yadav, Anjaneya Sharma, Siddharth YadavContrastive LearningOOD Generalization

    Indraprastha Institute of Information Technology Delhi

  25. SAMPLe: SAM-based Optimizer for Prompt Learning in VLMs

    Jul 7, 2026Hossein Rajoli, Fatemeh Lotfi, Niloufar Alipour Talemi +3Sharpness-Aware MinimizationVLM Adaptation

    Clemson University, Clemson SC 29634, USA · Siemens Energy (AI Lab), Orlando FL 32826, USA · University of Arizona, Tucson AZ 85721, USA

  26. Adversarial LassoNet: Robust Feature Selection via Stability-Driven Sparse Learning

    Jul 4, 2026Zhen Huang, Peicheng Xu, Junbiao Pang +1Adversarial TrainingOOD Generalization

    Beijing University of Technology · The First Affiliated Hospital of Zhejiang University School of Medicine

  27. Demonstrating Generalization Failures via Mixtures of Conditional Policies

    Jul 3, 2026Jou Barzdukas, Jack Peck, Julian Schulz +3OOD Generalization

    University of Virginia · ETH Zurich · MATS +3

  28. Out-of-distribution Neural Inference in Dynamical Ising Models

    Jul 3, 2026Yuan-Bin Zhu, Shuang Qiao, Shi-Ju RanGraph Structure LearningOOD Generalization

    Center for Quantum Physics and Intelligent Sciences, Department of Physics, Capital Normal University, Beijing 10048, China

  29. Out-of-Distribution Generalization of Risk Aversion in Language Models

    Jul 2, 2026Kristina Zhang, Junior Chinomso Okoroafor, Benjamin Maltbie +3LLM Safety BenchmarksOOD Generalization

    Massachusetts Institute of Technology, Cambridge, MA, USA.

  30. Human-Machine Collaboration on Generative Meta-Learning: Model and Algorithm

    Jul 1, 2026Midhun Parakkal Unni, Samuel KaskiMeta-LearningSynthetic Data Generation

    School of Computer Science, University of Sheffield, Sheffield, UK · Centre for Machine intelligence, University of Sheffield, UK · Department of Computer Science, University of Manchester, Manchester, UK +2