Distribution Shift

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19 papers in the last four weeks, up 533% on the four weeks before. 0.2% of all new papers.

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  1. Retrieval-Based In-Context Learning: A Domain Adaptation Framework

    Oct 5, 2026Yilun Zhu, Naihao Deng, Yingcong Li +2Distribution ShiftDomain Adaptation

    University of Michigan. · New Jersey Institute of Technology. · Northwestern University.

  2. Zero Flux: Flow-Based Comparison of High-Dimensional Discrete Distributions

    Oct 1, 2026Leyang Wang, Yakun Wang, Song Liu +1Distribution ShiftDistribution Shift Detection

    Department of Mathematical Informatics, The University of Tokyo, Japan · Center for Advanced Intelligence Project, RIKEN, Japan · School of Mathematics, University of Bristol, United Kingdom

  3. Autoregressive Drillhole Modelling Under Distribution Shift

    Oct 1, 2026Yihao Ding, Daniel Yitian Su, Yiran Zhang +2Distribution ShiftAutoregressive Modeling

    The University of Western Australia Crawley, WA 6009, Australia

  4. Parameter-Efficient Distributionally Robust Adaptation of Tabular Foundation Models under Subpopulation Shift

    Oct 1, 2026Seonghwi Kim, Sung Ho Jo, Minwoo ChaeDistribution Shift RobustnessTabular Foundation Models

    Pohang University of Science and Technology

  5. When to Adapt: Multi-Signal Domain Shift Detection for Efficient Training-Free Adaptation in Open-Vocabulary Segmentation

    Sep 29, 2026Michele Antonazzi, Alejandra C. Hernandez, José Araujo +2Distribution ShiftContinual Test-Time Adaptation

    EECS and Digital Futures, KTH Royal Institute of Technology, Stockholm, Sweden · Ericsson Research, Ericsson AB, Stockholm, Sweden

  6. Not Every Correction Helps: Gain-Guided Continual Test-Time Adaptation

    Sep 29, 2026Youjia Zhang, Huiling Liu, Soyun Choi +2Adaptive InferenceTest-Time Adaptation

    Sungkyunkwan University · Nanyang Technological University

  7. Adapting neural operators for mechanics decisions under changing operating conditions

    Sep 27, 2026Prashant K. Jha, Koffi Enakoutsa, Ian Galloway +1Neural Surrogate ModelingSurrogate-Assisted Optimization

    Department of Mechanical Engineering, South Dakota School of Mines and Technology, Rapid City, SD 57701, USA · Department of Mathematics, University of California, Los Angeles, Los Angeles, CA 90095, USA

  8. Behavioral Monitoring of JEPA World Models with Jacobian Centroids

    Sep 27, 2026Thomas Walker, Randall Balestriero, Richard BaraniukDistribution ShiftWorld Model-Based Planning

    Rice University · Brown University

  9. RAEGL: Risk-Aware Evidence-Gated Learning for Selective Contextual Routing under Temporal Shift

    Sep 27, 2026Yifan GuoDistribution ShiftSelective Prediction

    Stony Brook University

  10. Temporal Generalization and Explanation Stability of Control Flow Graph Neural Networks for Malware Detection

    Sep 21, 2026Md. Asif Sajeed, Md. Nazrul Islam Mondal, Md Ashraful Hossen AkashGraph Neural NetworksDistribution Shift

    Department of Computer Science and Engineering, Rajshahi University of Engineering & Technology, Rajshahi, 6204, Bangladesh

  11. A Latent Distribution Perspective on Evaluating and Improving Latent Generative Models

    Sep 21, 2026Xianghong Fang, Wenjie Shu, Tongda Xu +3Distribution ShiftGenerative AI Evaluation

    University of Toronto · Independent · Vijil

  12. ArtifactBench: Lineage-Aware Evaluation of AI-Generated Music Detectors under Distribution Shift

    Sep 20, 2026Heewon OhData LeakageDistribution Shift

    Intrect

  13. Refuse, Decompose, Refresh: A Claim-Safe Protocol for Closed-Loop AI Evaluation

    Sep 17, 2026Peiying Zhu, Sidi ChangDistribution Shift

    Blossom AI San Francisco, CA, USA

  14. Learning under Target Shift: Optimal Density Ratio Estimation and Importance-Weighted Regression

    Sep 14, 2026Ren-Rui Liu, Zheng-Chu GuoKernel RegressionDistribution Shift

    School of Mathematical Sciences, Zhejiang University, Hangzhou 310058, China

  15. The Anatomy and Boundary of Adaptation under Temporal Tabular Shift

    Sep 14, 2026Tianyu Wang, Xi Vincent Wang, Lihui Wang +2Tabular Foundation ModelsDistribution Shift

    Department of Production Engineering, KTH Royal Institute of Technology, Stockholm, Sweden · Global Institute of Future Technology, Shanghai Jiao Tong University, Shanghai, China

  16. Importance Weighting for Unlabeled-unlabeled Learning under Distribution Shift

    Sep 12, 2026Atsutoshi Kumagai, Tomoharu Iwata, Hiroshi Takahashi +3Distribution ShiftImportance Weighting

    NTT, Inc.

  17. General Quantification of Covariate and Concept Shifts

    Sep 12, 2026Hongbo Chen, Li Charlie XiaDistribution ShiftConcept Drift

    Department of Statistics and Financial Mathematics, School of Mathematics, South China University of Technology, Guangzhou, China.

  18. 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

    Mittweida University of Applied Sciences · Faculty of Applied Computer Sciences and Biosciences, Mittweida University of Applied Sciences, Mittweida, Germany

  19. Vision: Data-Centric Anchoring for Robust and Interpretable Agentic AI

    Sep 8, 2026Arun Vignesh Malarkkan, Xinyuan Wang, Yanjie FuAI Agent ReliabilityDistribution Shift

    School of Computing and Augmented Intelligence, Arizona State University, USA

  20. Semi-Supervised Learning under Spatially Biased Sampling

    Sep 7, 2026Bright Wiredu Nuakoh, Francky Fouedjio, Stephen Bradshaw +4Distribution ShiftSemi-Supervised Learning

    African Institute for Mathematical Sciences (AIMS), 17 KN 16 Ave, Kigali, Rwanda · Mathematical Application & Data Analytics Group, School of Science, Edith Cowan University, 270 Joondalup Drive, Joondalup, WA 6027, Australia · Data & Analytics, Rio Tinto, 152-158 St Georges Terrace, Perth, WA 6000, Australia +2

  21. ProxPI: Proximal Prior Injection for Sampling-Based MPC under Learned-Prior Mismatch

    Sep 1, 2026Euncheol Im, Myotaeg Lim, Yisoo LeeDistribution ShiftModel Predictive Control

    Center for Humanoid Research, Korea Institute of Science and Technology (KIST), 02792 Seoul, South Korea · School of Electrical Engineering, Korea University, 02841 Seoul, South Korea

  22. Regime-Conditional Verification: Correctness Estimation for Adapting and Monitoring Safety Classifiers

    Aug 14, 2026Thiago Sandoval, Ufuk TopcuDistribution ShiftSelective Prediction

    The University of Texas at Austin

  23. Thermodynamics of Learning: A Typed Four-Component Accounting of Memory, Fit, and Value

    Aug 13, 2026Akihito SudoStatistical Physics of LearningDistribution Shift

    ZeroStruct Inc.

  24. HNR-DAC: Hard-Negative Reranking and Distribution-Aligned Classification for Scientific Claim Verification

    Aug 7, 2026Zhenchao Wang, Xin Chen, Luoxi Zhang +2Claim VerificationDistribution Shift

    Southern University of Science and Technology, Shenzhen, China · Institute of Artificial Intelligence, Shenzhen University of Advanced Technology, Shenzhen, China · Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China

  25. 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

  26. 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

  27. 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

  28. 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

  29. 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

  30. 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

  31. 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

  32. 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

  33. 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

  34. 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

  35. 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

  36. 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

  37. 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

  38. 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

  39. 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

  40. 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

  41. 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

  42. 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

  43. 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

  44. 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.

  45. 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

  46. 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

  47. 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

  48. 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

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

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

    New York University

  50. 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

  51. 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

  52. 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.

  53. 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

  54. 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

  55. BELDE: Building a Large-scale Earth-observation Land-cover Dataset for Europe

    Jun 18, 2026Ümit Mert Çağlar, Alptekin TemizelRemote Sensing Image SegmentationDistribution Shift

    Graduate School of Informatics, Middle East Technical University, Ankara, Turkey

  56. Scoring Backends Matter More Than Pooling: A Systematic Study of Training-Free Anomalous Sound Detection under Domain Shift

    Jun 17, 2026Jingwen Zhou, Mingzhe WangDistribution ShiftUnsupervised Anomaly Detection

    Xidian University, Xi’an, China

  57. When AUC Misleads: Polarization-Aware Evaluation of Deepfake Detectors under Domain Shift

    Jun 17, 2026Dat Nguyen, Cosmin Radoi, Romain Hermary +4Distribution ShiftDeepfake Detection

    CVI2, SnT, University of Luxembourg · Cristal Laboratory, National School of Computer Sciences, University of Manouba

  58. Semantic Robustness Certification for Vision-Language Models

    Jun 17, 2026Peiyu Yang, Paul Montague, Feng Liu +4VLM RobustnessDistribution Shift

    School of Computing & Information Systems, University of Melbourne, Australia · Defence Science and Technology Group, Australia.

  59. ToolChain-CRC: Conformal Risk Control for Agentic AI Under Retrieval and Tool-Use Drift

    Jun 16, 2026Jeffery Opoku, David BanaheneAI Agent ReliabilityDistribution Shift

    The University of Texas Rio Grande Valley, Edinburg, TX, USA · Florida International University, Miami, FL, USA

  60. DDTNet: Degradation Disentanglement and Transfer Network for Test-Time All-in-One De-weathering Adaptation

    Jun 15, 2026Kuan-Hung Lin, Fu-Jen Tsai, Yan-Tsung Peng +3Test-Time AdaptationDistribution Shift

    National Yang Ming Chiao Tung University, Hsinchu 300093, Taiwan · National Tsing Hua University, Hsinchu 300044, Taiwan · National Chengchi University, Taipei 116011, Taiwan +1