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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

FA: Forced Prompt Learning of Vision-Language Models for Out-of-Distribution Detection ICCV 2025 Filter or Compensate: Towards Invariant Representation from Distribution Shift for Anomaly Detection AAAI 2025 Fixing Distribution Shifts of LLM Self-Critique via On-Policy Self-Play Training ACL 2025 FRAMES-VQA: Benchmarking Fine-Tuning Robustness across Multi-Modal Shifts in Visual Question Answering CVPR 2025 Fully Test-Time Adaptation for Feature Decrement in Tabular Data IJCAI 2025 Fully Test-time Adaptation for Tabular Data AAAI 2025 Gain from Neighbors: Boosting Model Robustness in the Wild via Adversarial Perturbations Toward Neighboring Classes CVPR 2025 Generalization of Graph Neural Networks Is Robust to Model Mismatch AAAI 2025 Generating Complex Question Decompositions in the Face of Distribution Shifts NAACL 2025 Generative Classifiers Avoid Shortcut Solutions ICLR 2025 Generative Intervention Models for Causal Perturbation Modeling ICML 2025 Geometry of Long-Tailed Representation Learning: Rebalancing Features for Skewed Distributions ICLR 2025 Going Beyond Static: Understanding Shifts with Time-Series Attribution ICLR 2025 Gradient Equilibrium in Online Learning: Theory and Applications JMLR 2025 High-dimensional Analysis of Knowledge Distillation: Weak-to-Strong Generalization and Scaling Laws ICLR 2025 How Persuasive Is Your Context? EMNLP 2025 HYBOOD: A Hybrid Generative Model for Out-of-Distribution Detection with Corruption Estimation AAAI 2025 Importance Weighting Can Help Large Language Models Self-Improve AAAI 2025 Improving Generalization in Offline Reinforcement Learning via Latent Distribution Representation Learning AAAI 2025 Incremental Uncertainty-aware Performance Monitoring with Active Labeling Intervention AISTATS 2025 InstaTrain: Adaptive Training via Ultra-Fast Natural Annealing within Dynamical Systems ICLR 2025 Intermediate Layer Classifiers for OOD generalization ICLR 2025 IOP: An Idempotent-Like Optimization Method on the Pareto Front of Hypernetwork AAAI 2025 IT$^3$: Idempotent Test-Time Training ICML 2025 Learning Dynamics in Continual Pre-Training for Large Language Models ICML 2025