Distribution Shift

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19 papers in the last four weeks, up 280% on the four weeks before. 0.2% of all new papers.

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  1. Adversarially Robust Abductive Fusion of Pre-trained Transformer-based Perception Models

    Aug 4, 2026Mario Leiva, Yue Ma, Qinru Qiu +2Distribution ShiftAbductive Reasoning

    1DCIC, Universidad Nacional del Sur (UNS) & ICIC (UNS-CONICET), Bahía Blanca, Argentina · 2Syracuse University, Syracuse, NY USA

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

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

    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 · Faculty of Experimental Sciences, Universidad Francisco de Vitoria, Madrid, Spain

  3. When Oracle Conditioning Misleads Deployment: Conditioning-Availability Bias in Echocardiographic Segmentation

    Aug 4, 2026Dang P. M. Cao, Hieu D. Pham, Hieu PhamDistribution ShiftEchocardiography

    College of Engineering and Computer Science, VinUniversity, Hanoi, Vietnam · VinUni-Illinois Smart Health Center, VinUniversity, Hanoi, Vietnam · Center for Innovations in Health Sciences, VinUniversity, Hanoi, Vietnam

  4. SABRE: A Multi-Agent Approach for Selecting Out-of-Distribution Detectors Under a Budget

    Aug 3, 2026Mary Wisell, Salimeh SekehDistribution ShiftOOD Detection

    San Diego State University

  5. Diffusion Policy with Behavioral Advantage Correction for Offline Reinforcement Learning

    Aug 3, 2026Botao Dong, Longyang Huang, Ning Pang +1Distribution ShiftValue Function Estimation

    Botao Dong is with the School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, Singapore 637459

  6. How fine a change can moments see? A scale law for detecting distribution shift, with a kernel calibration rule

    Aug 2, 2026Adel KalecheTwo-Sample TestingDistribution Shift

    Independent researcher, France

  7. SULAND v2: A Refined RGB Dataset and Deep Learning Object Detection Benchmark for UAV/UGV-Based SUrface LANDmine Detection Under Domain Shift

    Jul 31, 2026Sagar Lekhak, Prasanna Reddy Pulakurthi, Lalit Joshi +2Distribution ShiftObject Detection

    Rochester Institute of Technology, Rochester, NY 14623, USA · Thapathali Campus, Institute of Engineering, Tribhuvan University, Kathmandu 44600, Nepal

  8. QAdapt: A Noise-Adaptive Neural Pre-Decoding Framework for Quantum Error Correction

    Jul 30, 2026Ran Miao, Rui Luo, Xiaohan Shan +1Distribution ShiftNeural Decoding

    Beijing Zhongke Qhub Technology Co., Ltd. (Qhub), Beijing, China · Center for Quantum Information, Institute for Interdisciplinary Information Sciences, Tsinghua University, Beijing, China · Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China

  9. 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

  10. When Can You Correct Distribution Drift in Temporal Graph Generation? A Sharpening--Drift Tension and an Impossibility for Observation-Based Correction

    Jul 27, 2026Tianpeng Li, Xuan Guo, Wenjun Wang +2Flow MatchingDistribution Shift

    College of New Media and Communication, Tianjin University · School of Artificial Intelligence, Tianjin University · School of Cyberspace Security,Hangzhou Dianzi University

  11. Nipping the Butterfly Effect in the Bud: Self-Output Fine-Tuning for Autoregressive Weather Prediction

    Jul 23, 2026Yun-Ye Cai, Hsuan-Tien LinLong-Term Time Series ForecastingDistribution Shift

    National Taiwan University · Taipei, Taiwan

  12. Toward Seasonal Guidelines for Robust Deep-Learning Sentinel-2 Building Detection in Different Area Types

    Jul 22, 2026Michał Romaszewski, Kamil Drejer, Katarzyna Kołodziej +7Remote Sensing Image SegmentationDistribution Shift

    Institute of Theoretical and Applied Informatics, Polish Academy of Sciences, Bałtycka 5, 44-100 Gliwice, Poland · Space Research Centre, Polish Academy of Sciences Bartycka 18a, 00-716 Warszawa, Poland

  13. Domain Shift in Echocardiography: Interpretable Quantification and Prediction of Cross-Dataset Left Ventricular Segmentation

    Jul 22, 2026Soroush Elyasi, Nasim Dadashi Serej, Julie Wall +1Ultrasound Image SegmentationDistribution Shift

    THRIVE Centre, School of Computing and Engineering, University of West London, London, UK · School of Computing and Engineering, University of West London, London, UK

  14. Attributes Should Come from Images, Not Class Names: Distribution-Conditioned Attribute Selection for Vision-Language Models

    Jul 21, 2026Gautam Rajendrakumar Gare, Jia Shi, Zhiqiu Lin +3Vision-Language ModelsDistribution Shift

    Carnegie Mellon University, USA

  15. ASK-NN: An Asymmetric Nearest-Neighbor Test that detects Distribution Drifts in Natural Language

    Jul 17, 2026Sergey Zakharov, Rodion Oblovatny, Alexey ZaytsevTwo-Sample TestingAI-Generated Text Detection

    Saint-Peterburg university, Saint-Peterburg, Russia · Risk AI Research Lab, Moscow, Russia · Applied AI Institute, Moscow, Russia

  16. Why Domain Matters: Domain-Aware Benchmarking of Underwater Object Detection and Annotation Quality

    Jul 12, 2026Melanie Wille, Dimity Miller, Tobias Fischer +1Distribution ShiftUnderwater Imaging

    QUT Centre for Robotics, Queensland University of Technology, Brisbane, Australia

  17. Parameter-Efficient Vision-Language Adaptation with Continuous Metadata Conditioning for Animal Re-Identification

    Jul 10, 2026Anil Osman Tur, Tonje Knutsen Sordalen, Kim Tallaksen Halvorsen +1Animal Re-IdentificationDistribution Shift

    Department of Computer Science, University of Verona, Verona, 37134, Italy · Institute of Marine Research, Nye Flødevigveien 20, 4817 His, Norway · University of Agder, Centre for Coastal Research, Grimstad, 4604, Norway

  18. Temporal Knowledge Graph Forecasting under Distribution Shifts: A Synthetic Evaluation

    Jul 10, 2026Konrad Özdemir, Julia Gastinger, Lukas Kirchdorfer +1Distribution ShiftTemporal Link Prediction

    Data and Web Science Group, University of Mannheim, Germany · SAP Signavio, Walldorf, Germany

  19. Shift & Drift: A Zero-Shot Benchmark for Generalizable and Robust Autonomous Driving Motion Planning

    Jul 8, 2026Alessandro Canevaro, Hang Yu, Julian Schmidt +5Autonomous Driving BenchmarksDistribution Shift

    Mercedes-Benz AG, Research & Development, Sindelfingen, Germany · University of Tübingen, Tübingen, Germany · Karlsruhe Institute of Technology, ITIV, Karlsruhe, Germany

  20. Prior-matched evaluation of operational Earth-observation classifiers: a three-number reporting method demonstrated on Sentinel-1 internal-wave detection

    Jul 8, 2026João Pinelo, João Gonçalves, Arun Shukla +1Class-Imbalanced LearningDistribution Shift

    Atlantic International Research Centre (AIR Centre), Azores, Portugal.

  21. EMPURPLE: A Free Lunch for Diffusion Distillation based on the Information Bottleneck

    Jul 5, 2026Zilai Li, Lujia BaiDistribution ShiftDiffusion Model Distillation

    Independent researcher, University of Nottingham, Nottingham, UK

  22. Can Agents Generalize to the Open World? Unveiling the Fragility of Static Training in Tool Use

    Jul 1, 2026Song-Lin Lv, Weiming Wu, Rui Zhu +2Fine-TuningDistribution Shift

    School of Intelligence Science and Technology, Nanjing University, Nanjing, China · National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China

  23. Condensing Large-Scale Datasets Directly with Minimal Information Loss

    Jul 1, 2026Xinyi Shang, Peng Sun, Bei Shi +2Distribution ShiftDistribution Matching

    University College London, United Kingdom · Zhejiang University, China · Westlake University, China +1

  24. Multi-Level Distributional Entropy for Explainable Network Intrusion Detection

    Jun 29, 2026Mohamed Aly Bouke, Md Shohel Sayeed, Swee-Huay Heng +2Distribution ShiftNetwork Intrusion Detection

    Centre for Intelligent Cloud Computing, CoE for Advanced Cloud, Faculty of Information Science and Technology, Multimedia University, Jalan Ayer Keroh Lama, Bukit Beruang, 75450, Melaka, Malaysia · Department of Communication Technology and Networking, Faculty of Computer Science and Information Technology, Universiti Putra Malaysia, Serdang 43400, Malaysia · Laboratory of Computational Science and Mathematical Physics, Institute for Mathematical Research, Universiti Putra Malaysia, Serdang, Malaysia

  25. Early Warning Signals for OpenVLA Failure under Visual Distribution Shift

    Jun 29, 2026Dipesh Tharu Mahato, Rachel RenRobot Failure DetectionDistribution Shift

    New York University

  26. Hitting a Moving Target: Test-Time Adaptation for AI Text Detection under Continual Distribution Shift

    Jun 23, 2026Kevin Ren, Manish Raghavan, Nikhil GargAI-Generated Text DetectionDistribution Shift

    Cornell Tech · MIT

  27. BenchX: Benchmarking AI Models for Cancer Detection and Localization with Demographic and Protocol Biases

    Jun 23, 2026Qi Chen, Wenxuan Li, Pedro R. A. S. Bassi +14Distribution ShiftMedical Image Analysis

    Johns Hopkins University · German Cancer Research Center · University Hospital Basel +10

  28. When Multi-Sensor Fusion Fails to Generalize: Cattle Posture Classification Under Animal-Level and Temporal Distribution Shift

    Jun 23, 2026Leutrim Uka, Severino Pinto, Gundula Hoffmann +1Distribution Shift RobustnessDistribution Shift

    Institute of Computer Science, University of Potsdam, Potsdam, Germany. · Department of Sensors and Modelling, Leibniz Institute for Agricultural Engineering and Bioeconomy - ATB, Potsdam, Germany. · Department of Data Science in Bioeconomy, Leibniz Institute for Agricultural Engineering and Bioeconomy - ATB, Potsdam, Germany.

  29. Neural Architecture Search of Sample Reweighting Networks for Complex Distribution Shift

    Jun 22, 2026Keisuke Sugawara, Kento Uchida, Shinichi ShirakawaClass-Imbalanced LearningDistribution Shift

    Yokohama National University, Kanagawa, Japan

  30. FedCausal-Dyn: A Causal-Dynamic Paradigm for Federated Learning under Dynamic Feature Drift

    Jun 20, 2026Kaijie Chen, Alex Johnson, Maria Garcia +2Distribution ShiftFederated Learning

    Mindlab