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distribution shift

985 papers

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Also known as

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

Unified Confidence Adjustment for Robust Cross-Modal Retrieval under Test-Time Distribution Shifts UAI 2026 ViTPrompt: Training-Free Prompt Refinement with Visual Tokens for Open-Vocabulary Detection CVPR 2026 When AVSR Meets Video Conferencing: Dataset, Degradation, and the Hidden Mechanism Behind Performance Collapse CVPR 2026 When Environments Shift: Safe Planning with Generative Priors and Robust Conformal Prediction L4DC 2026 YieldSAT: A Multimodal Benchmark Dataset for High-Resolution Crop Yield Prediction CVPR 2026 YNU-HPCC at SemEval-2026 Task 13: Robust Machine-Generated Code Detection under Distribution Shifts SemEval 2026 Your AI-Generated Image Detector Can Secretly Achieve SOTA Accuracy, If Calibrated AAAI 2026 Activation Subspaces for Out-of-Distribution Detection ICCV 2025 AdaO2B: Adaptive Online to Batch Conversion for Out-of-Distribution Generalization AAAI 2025 Adapting Multi-modal Large Language Model to Concept Drift From Pre-training Onwards ICLR 2025 Adapting Prediction Sets to Distribution Shifts Without Labels UAI 2025 Adapting to Online Distribution Shifts in Deep Learning: A Black-Box Approach AISTATS 2025 AdaWM: Adaptive World Model based Planning for Autonomous Driving ICLR 2025 Advancing Out-of-Distribution Detection via Local Neuroplasticity ICLR 2025 Advantage-Guided Distillation for Preference Alignment in Small Language Models ICLR 2025 AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks AAAI 2025 A Layer Selection Approach to Test Time Adaptation AAAI 2025 Alleviating Distribution Shift in Synthetic Data for Machine Translation Quality Estimation ACL 2025 Alleviating Shifted Distribution in Human Preference Alignment through Meta-Learning AAAI 2025 An Adaptive Method for Weak Supervision with Drifting Data AISTATS 2025 An Auditing Test to Detect Behavioral Shift in Language Models ICLR 2025 A Unified Interpretation of Training-Time Out-of-Distribution Detection ICCV 2025 Balanced Direction from Multifarious Choices: Arithmetic Meta-Learning for Domain Generalization CVPR 2025 Battling the Non-stationarity in Time Series Forecasting via Test-time Adaptation AAAI 2025 Bayesian Test-Time Adaptation for Vision-Language Models CVPR 2025