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distribution shift

985 papers

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DS

Co-occurring keywords · papers mentioning both

domain adaptation (174) domain generalization (160) test-time adaptation (78) out-of-distribution detection (74) out-of-distribution generalization (65) representation learning (48) causal inference (47) transfer learning (39) offline reinforcement learning (37) graph neural network (36)

Papers

Learning Neural Networks with Distribution Shift: Efficiently Certifiable Guarantees ICLR 2025 Learning the Distribution Map in Reverse Causal Performative Prediction AISTATS 2025 Learning to Align: Addressing Character Frequency Distribution Shifts in Handwritten Text Recognition EMNLP 2025 LLMs know their vulnerabilities: Uncover Safety Gaps through Natural Distribution Shifts ACL 2025 Lost in Transcription, Found in Distribution Shift: Demystifying Hallucination in Speech Foundation Models ACL 2025 Marrying LLMs with Dynamic Forecasting: A Graph Mixture-of-expert Perspective NAACL 2025 MetaOOD: Automatic Selection of OOD Detection Models ICLR 2025 Metric-Agnostic Continual Learning for Sustainable Group Fairness AAAI 2025 Mixed-Feature Logistic Regression Robust to Distribution Shifts AISTATS 2025 Model-free Change-Point Detection Using AUC of a Classifier JMLR 2025 Model Risk-sensitive Offline Reinforcement Learning ICLR 2025 Moment Alignment: Unifying Gradient and Hessian Matching for Domain Generalization UAI 2025 Multifaceted Evaluation of Audio-Visual Capability for MLLMs: Effectiveness, Efficiency, Generalizability and Robustness EMNLP 2025 Multi-Label Test-Time Adaptation with Bound Entropy Minimization ICLR 2025 Mutual-Taught for Co-adapting Policy and Reward Models ACL 2025 OCRT: Boosting Foundation Models in the Open World with Object-Concept-Relation Triad CVPR 2025 ODD: Overlap-aware Estimation of Model Performance under Distribution Shift UAI 2025 ODP-Bench: Benchmarking Out-of-Distribution Performance Prediction ICCV 2025 On Continuous Monitoring of Risk Violations under Unknown Shift UAI 2025 Online-LoRA: Task-Free Online Continual Learning via Low Rank Adaptation WACV 2025 Online Pre-Training for Offline-to-Online Reinforcement Learning ICML 2025 OpenMIBOOD: Open Medical Imaging Benchmarks for Out-Of-Distribution Detection CVPR 2025 Open Set Label Shift with Test Time Out-of-Distribution Reference CVPR 2025 Optimizing importance weighting in the presence of sub-population shifts ICLR 2025 Out-of-Distribution Generalization on Graphs via Progressive Inference AAAI 2025