Distribution Shift Robustness

Follow this topic Ask about this topic

Momentum

26 papers in the last four weeks, up 225% on the four weeks before. 0.3% of all new papers.

Jul 13Week of Sep 28

Latest papers 197

All topics

RISED: A Pre-Deployment Evaluation Framework for High-Stakes AI Decision-Support Systems, with Application to Healthcare
May 13, 2026Rohith Reddy Bellibatlu, Manpreet Singh, Yash Jajoo +2Distribution Shift Robustness Healthcare
Florida International University, Miami, FL, USA. · Boston University, Boston, MA, USA. · New York University, New York, NY, USA. +2
Robust Biomedical Publication Type and Study Design Classification with Knowledge-Guided Perturbations
May 12, 2026Shufan Ming, Joe D. Menke, Neil R. Smalheiser +1Adversarial Training Distribution Shift Robustness
School of Information Sciences University of Illinois Urbana-Champaign Champaign, USA · Department of Psychiatry University of Illinois Chicago Chicago, USA
DeconDTN-Toolkit: A Library for Evaluation and Enhancement of Robustness to Provenance Shift
May 11, 2026Yongsen Tan, Zhecheng Sheng, Xiruo Ding +2Distribution Shift Robustness OOD Generalization
University of Washington · University of Minnesota
Counterfactual Stress Testing for Image Classification Models
May 11, 2026Moritz Stammel, Fabio De Sousa Ribeiro, Raghav Mehta +2Distribution Shift Robustness OOD Generalization
Department of Computing, Imperial College London, UK
Interpretable Machine Learning for Football Performance Analysis: Evidence of Limited Transferability from Elite Leagues to University Competition
May 11, 2026Yu-Fang Tsai, Yu-Jen Chen, Kok-Hua Tan +5Distribution Shift Robustness SHAP Feature Attribution
Department of Kinesiology, National Tsing Hua University, Hsinchu, Taiwan · Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan · Physical Education Office, National Tsing Hua University, Hsinchu, Taiwan +4
Sample-Mean Anchored Thompson Sampling for Offline-to-Online Learning with Distribution Shift
May 11, 2026Bochao Li, Yao Fu, Wei Chen +1Distribution Shift Robustness Thompson Sampling
Southern University of Science and Technology · Microsoft Research
Generating synthetic electronic health record data using agent-based models to evaluate machine learning robustness under mass casualty incidents
May 11, 2026Roben Delos Reyes, Daniel Capurro, Nicholas GeardDistribution Shift Robustness Synthetic Data Generation
School of Computing and Information Systems, The University of Melbourne, Parkville, Victoria, Australia · Department of Medicine, The University of Melbourne, Parkville, Victoria, Australia
Visibility nowcasting in South Korea: a machine learning approach to class imbalance and distribution shift
May 9, 2026Bong Gyun Shin, Chan Sik Lee, Hyesun SuhDistribution Shift Robustness Time Series Forecasting
Department of AI Big Data, Daejin University, 1007 Hoguk-ro,2026 Pocheon-si, Gyeonggi-do, 11159, Republic of Korea. · Department of Statistics and Actuarial Science, Soongsil University, 50 Sadang-ro, Dongjak-gu, Seoul, 06978, Republic of Korea. · College of Artificial Intelligence Convergence, Daejin University, 1007 Hoguk-ro, Pocheon-si, Gyeonggi-do, 11159, Republic of Korea.
MedFL-Stress: A Systematic Robustness Evaluation of Federated Brain Tumor Segmentation under Cross-Hospital MRI Appearance Shift
May 9, 2026Kiran Naseer, Naveed Anwer ButtDistribution Shift Robustness BraTS
University of Gujrat, Pakistan
TopoGeoScore: A Self-Supervised Source-Only Geometric Framework for OOD Checkpoint Selection
May 9, 2026Farid Hazratian, Ali Zia, Hien Duy NguyenDistribution Shift Robustness
University of Tehran · Tehran, Iran · La Trobe University +3
GC-ART: Global Learnable Second-Order Rational Tone Curves for Illumination Robustness
May 8, 2026Wei Huang, Joyce HuangDistribution Shift Robustness Image Enhancement
1Microsoft · 2Massachusetts Institute of Technology
Estimate Level Adjustment For Inference With Proxies Under Random Distribution Shifts
May 7, 2026Steven Wilkins-Reeves, Alexandra N. M. Darmon, Deeksha SinhaDistribution Shift Robustness Uncertainty Calibration
Central Applied Science, Meta · New York, NY, USA · Menlo Park, CA, USA
eXplaining to Learn (eX2L): Regularization Using Contrastive Visual Explanation Pairs for Distribution Shifts
May 7, 2026Paulo Mario P. Medina, Jose Marie Antonio Miñoza, Sebastian C. IbañezDistribution Shift Robustness Interpretable ML
Center for AI Research
Jacobian-Velocity Bounds for Deployment Risk Under Covariate Drift
May 6, 2026Jonathan R. LandersDistribution Shift Robustness Distribution Shift
Independent Researcher · New York, NY, USA
Mitigating Label Shift in Tabular In-Context Learning via Test-Time Posterior Adjustment
May 6, 2026Seunghan LeeDistribution Shift Robustness Tabular Foundation Models
LG AI Research, Seoul, South Korea.
FACTOR: Counterfactual Training-Free Test-Time Adaptation for Open-Vocabulary Object Detection
May 5, 2026Kaixiang Zhao, Mao Ye, Lihua Zhou +4Open-Vocabulary Object Detection Distribution Shift Robustness
School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China · Institute of Machine Intelligence (IMI), University of Shanghai for Science and Technology, Shanghai, China · Surrey Institute for People-Centred Artificial Intelligence, CVSSP, University of Surrey, Guildford, UK.
OCRR: A Benchmark for Online Correction Recovery under Distribution Shift
May 4, 2026Adrian GrassiClass-Incremental Learning Distribution Shift Robustness
Independent Researcher
When Prompts Interact: Assessing Prompt Arithmetic for Deconfounding under Distribution Shift
May 4, 2026Zhecheng Sheng, Yongsen Tan, Xiruo Ding +2Distribution Shift Robustness Prompt Tuning
University of Minnesota · University of Washington · 3Stanford University
Weight Clipping for Robust Conformal Inference under Unbounded Covariate Shifts
May 3, 2026James Wang, Surbhi GoelDistribution Shift Robustness Weighted Conformal Prediction
Department of Computer and Information Science, University of Pennsylvania, Philadelphia, PA 19104, USA.
Robust Conditional Conformal Prediction via Branched Normalizing Flow
May 3, 2026Rui Xu, Xingyuan Chen, Wenxing Huang +4Distribution Shift Robustness Normalizing Flows
Information Hub, The Hong Kong University of Science and Technology (Guangzhou) · The Second Affiliated Hospital of Guangzhou Medical University
Perturb and Correct: Post-Hoc Ensembles using Affine Redundancy
May 2, 2026Eleanor QuintDistribution Shift Robustness Ensemble Learning
Department of Computing University of Nebraska–Lincoln Lincoln, NE 68508, USA
Sampler-Robust Optimization under Generative Models
Apr 30, 2026Ziwei Zhang, Jonathan Yu-Meng LiDistribution Shift Robustness Distributionally Robust Optimization
Telfer School of Management University of Ottawa
Detecting is Easy, Adapting is Hard: Local Expert Growth for Visual Model-Based Reinforcement Learning under Distribution Shift
Apr 30, 2026Haiyang ZhaoDistribution Shift Robustness OOD Generalization
University of Georgia United States
Robustness of Transformer-Based Fluence Map Prediction Under Clinically Realistic Perturbations
Apr 28, 2026Ujunwa Mgboh, Rafi Ibn Sultan, Joshua Kim +2Distribution Shift Robustness Transformer
Wayne State University, Detroit, MI, USA · Henry Ford Health, Detroit, MI
Robustness Evaluation of a Foundation Segmentation Model Under Simulated Domain Shifts in Abdominal CT: Implications for Health Digital Twin Deployment
Apr 28, 2026Sanghati BasuDistribution Shift Robustness Image Segmentation
Healthcare Informatics, University of Illinois Springfield
Robust and Clinically Reliable EEG Biomarkers: A Cross Population Framework for Generalizable Parkinson's Disease Detection
Apr 27, 2026Nicholas R. Rasmussen, Longwei Wang, Rodrigue Rizk +5Distribution Shift Robustness Electroencephalography
USD AI Research, Department of Computer Science, University of South Dakota, Vermillion, SD 57069, USA · Biomedical and Translational Sciences, Sanford School of Medicine, University of South Dakota, Vermillion, SD 57069, USA · Department of Sport, Exercise and Rehabilitation, Northumbria University, Newcastle upon Tyne, NE1 8ST, United Kingdom +1
Local Neighborhood Instability in Parametric Projections: Quantitative and Visual Analysis
Apr 23, 2026Frederik L. Dennig, Daniel A. KeimDistribution Shift Robustness Jacobian Regularization
University of Konstanz, Germany
Supervised Learning Has a Necessary Geometric Blind Spot: Theory, Consequences, and Minimal Repair
Apr 23, 2026Vishal RajputAdversarial Training Representation Geometry
1KU Leuven, Belgium.
Evaluating Histogram Matching for Robust Deep learning-Based Grapevine Disease Detection
Apr 21, 2026Ruben Pascual, Inés Hernández, Salvador Gutiérrez +4Distribution Shift Robustness Image Enhancement
Institute of Smart Cities (ISC), Dept. of Statistics, Computer Science and Mathematics, Public Univ. of Navarre (UPNA), 31006 Pamplona, Spain · Institute of Grapevine and Wine Sciences (Univ. of La Rioja, CSIC, Govt. of La Rioja), 26007, Logroño, Spain and Televitis Research Group, Univ. of La Rioja, 26006, Logroño, Spain · Dept. of Computer Science and AI, Univ. of Granada, 18071, Granada, Spain +1
LLM-AUG: Robust Wireless Data Augmentation with In-Context Learning in Large Language Models
Apr 20, 2026Pranshav Gajjar, Manan Tiwari, Sayanta Seth +1Distribution Shift Robustness Synthetic Data Augmentation
NextG Wireless Lab, North Carolina State University, NC

May 13, 2026, cs.LGJ/K move · Enter open · S save

RISED: A Pre-Deployment Evaluation Framework for High-Stakes AI Decision-Support Systems, with Application to Healthcare

Rohith Reddy Bellibatlu, Manpreet Singh, Yash Jajoo, Shyamal Lakhanpal+1

Florida International University, Miami, FL, USA. · Boston University, Boston, MA, USA. · New York University, New York, NY, USA.+2

Distribution Shift Robustness Healthcare Clinical Decision Support Algorithmic Fairness AI Safety Evaluation Clinical Prediction

Open paper AskPDF arXiv

Clinical decision-support systems are expert systems whose recommendations clinicians act on directly, yet they are usually cleared on one aggregate accuracy number from a held-out test set. That number says nothing about input reliability under encoding shifts, subgroup gaps, threshold sensitivity, or operational feasibility. We present RISED, a pre-deployment evaluation framework operationalising five dimensions (Reliability, Inclusivity, Sensitivity, Equity, Deployability) through BCa bootstrap 95% confidence intervals, literature-grounded thresholds, and Holm-Bonferroni-corrected PASS / FAIL / INCONCLUSIVE verdicts; Equity is a proxy-dependence diagnostic rather than a gating test. Applied to seven cohorts spanning 35 years (n from 303 to 99,492), RISED surfaces failures invisible to AUROC: on Diabetes 130, Reliability passes by three orders of magnitude (PSS = 0.0004) while Inclusivity (AUC parity gap = 0.262) and Sensitivity (max threshold-flip rate 49.1%) fail decisively; both NHIS cohorts reproduce this. NHANES 2021-2023, with a complete feature profile, achieves INCONCLUSIVE verdicts; BRFSS 2024 produces the suite's most severe Sensitivity failure (max threshold-flip rate 64.2%) after instrument rotation removed hypertension and cholesterol. The pattern recurs on credit- and income-prediction cohorts, confirming domain-agnosticity; a multi-model check shows the failures are data-driven, not model-specific. RISED ships as an open-source Python package complementing TRIPOD+AI, FUTURE-AI, and Fairlearn with the structured numerical evidence those standards require but do not prescribe.

Momentum

Related topics

Latest papers 197