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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

Subgraph Information Bottleneck with Causal Dependency for Stable Molecular Relational Learning IJCAI 2025 Sufficient Invariant Learning for Distribution Shift CVPR 2025 TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments ICML 2025 TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks ICLR 2025 Temporal Dynamics in Visual Data: Analyzing the Impact of Time on Classification Accuracy WACV 2025 Test-Time Adaptation in Point Clouds: Leveraging Sampling Variation with Weight Averaging WACV 2025 Test-time Adapted Reinforcement Learning with Action Entropy Regularization ICML 2025 Test-Time Training for Speech-based Depression Detection Interspeech 2025 Test-Time Training Provably Improves Transformers as In-context Learners ICML 2025 Test-Time Visual In-Context Tuning CVPR 2025 The Indoor-Training Effect: Unexpected Gains from Distribution Shifts in the Transition Function AAAI 2025 Theory of Agreement-on-the-Line in Linear Models and Gaussian Data AISTATS 2025 The Pitfalls of Memorization: When Memorization Hurts Generalization ICLR 2025 Topology-Aware Dynamic Reweighting for Distribution Shifts on Graph ICML 2025 Towards Domain Adaptive Neural Contextual Bandits ICLR 2025 Towards Generalizable Neural Simulators: Addressing Distribution Shifts Induced by Environmental and Temporal Variations IJCAI 2025 Towards Generalizable Reinforcement Learning via Causality-Guided Self-Adaptive Representations ICLR 2025 Towards Generalizable Safety in Crowd Navigation via Conformal Uncertainty Handling CoRL 2025 Towards Trustworthy Machine Learning Under Distribution Shifts AAAI 2025 Training Data Soft Selection via Joint Density Ratio Estimation ACML 2025 Training Nonlinear Transformers for Chain-of-Thought Inference: A Theoretical Generalization Analysis ICLR 2025 Uncertainty modeling for fine-tuned implicit functions ICLR 2025 Uncertainty Quantification for LLM-Based Survey Simulations ICML 2025 Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach ICML 2025 Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning AAAI 2025