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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

Crafting Distribution Shifts for Validation and Training in Single Source Domain Generalization WACV 2025 CUPID: Curating Data your Robot Loves with Influence Functions CoRL 2025 CUQDS: Conformal Uncertainty Quantification Under Distribution Shift for Trajectory Prediction AAAI 2025 DANCE: Dual Unbiased Expansion with Group-acquired Alignment for Out-of-distribution Graph Fairness Learning ICML 2025 DaWin: Training-free Dynamic Weight Interpolation for Robust Adaptation ICLR 2025 DeCaf: A Causal Decoupling Framework for OOD Generalization on Node Classification AISTATS 2025 Decoupled Imbalanced Label Distribution Learning IJCAI 2025 Directional Gradient Projection for Robust Fine-Tuning of Foundation Models ICLR 2025 DisPIM: Distilling PreTrained Image Models for Generalizable Visuo-Motor Control IJCAI 2025 Distribution-Aware Online Learning for Urban Spatiotemporal Forecasting on Streaming Data IJCAI 2025 DivShift: Exploring Domain-Specific Distribution Shifts in Large-Scale, Volunteer-Collected Biodiversity Datasets AAAI 2025 DM-POSA: Enhancing Open-World Test-Time Adaptation with Dual-Mode Matching and Prompt-Based Open Set Adaptation IJCAI 2025 Does Data Contamination Detection Work (Well) for LLMs? A Survey and Evaluation on Detection Assumptions NAACL 2025 Domain Adaptation and Entanglement: an Optimal Transport Perspective AISTATS 2025 Domain Adaptive Unfolded Graph Neural Networks AAAI 2025 Efficient and Robust Neural Combinatorial Optimization via Wasserstein-Based Coresets ICLR 2025 Efficient Safety Alignment of Large Language Models via Preference Re-ranking and Representation-based Reward Modeling ACL 2025 Elliptic Loss Regularization ICLR 2025 Enpowering Your Pansharpening Models with Generalizability: Unified Distribution is All You Need ICCV 2025 ERM++: An Improved Baseline for Domain Generalization WACV 2025 Evaluation of Active Feature Acquisition Methods for Time-varying Feature Settings JMLR 2025 EvoCL: Continual Learning over Evolving Domains WACV 2025 Expand Horizon: Graph Out-of-Distribution Generalization via Multi-Level Environment Inference AAAI 2025 Exploiting Structure in Offline Multi-Agent RL: The Benefits of Low Interaction Rank ICLR 2025 Exploring Learning Complexity for Efficient Downstream Dataset Pruning ICLR 2025