distribution shift

Behavior-agnostic Task Inference for Robust Offline In-context Reinforcement Learning ICML 2025 Benchmarking Object Detectors under Real-World Distribution Shifts in Satellite Imagery CVPR 2025 Beyond Clean Training Data: A Versatile and Model-Agnostic Framework for Out-of-Distribution Detection with Contaminated Training Data CVPR 2025 Beyond Under-Alignment: Atomic Preference Enhanced Factuality Tuning for Large Language Models NAACL 2025 Black Sheep in the Herd: Playing with Spuriously Correlated Attributes for Vision-Language Recognition ICLR 2025 Bridging Adaptivity and Safety: Learning Agile Collision-Free Locomotion Across Varied Physics L4DC 2025 Bridging Distributionally Robust Learning and Offline RL: An Approach to Mitigate Distribution Shift and Partial Data Coverage L4DC 2025 Bridging Domains with Approximately Shared Features AISTATS 2025 Bridging the Gap for Test-Time Multimodal Sentiment Analysis AAAI 2025 CAP: A General Algorithm for Online Selective Conformal Prediction with FCR Control JMLR 2025 CARL: Causality-guided Architecture Representation Learning for an Interpretable Performance Predictor ICCV 2025 CausalRivers - Scaling up benchmarking of causal discovery for real-world time-series ICLR 2025 Certified Causal Defense with Generalizable Robustness AAAI 2025 CFD: Learning Generalized Molecular Representation via Concept-Enhanced Feedback Disentanglement ICLR 2025 Client2Vec: Improving Federated Learning by Distribution Shifts Aware Client Indexing ICCV 2025 Collapsing Sequence-Level Data-Policy Coverage via Poisoning Attack in Offline Reinforcement Learning UAI 2025 ColorizeDiffusion: Improving Reference-Based Sketch Colorization with Latent Diffusion Model WACV 2025 COME: Test-time Adaption by Conservatively Minimizing Entropy ICLR 2025 Compositional Risk Minimization ICML 2025 CONDA: Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts ICLR 2025 Conditional Prediction ROC Bands for Graph Classification AISTATS 2025 Conformalized Interactive Imitation Learning: Handling Expert Shift and Intermittent Feedback ICLR 2025 Continual Slow-and-Fast Adaptation of Latent Neural Dynamics (CoSFan): Meta-Learning What-How & When to Adapt ICLR 2025 COUNTS: Benchmarking Object Detectors and Multimodal Large Language Models under Distribution Shifts CVPR 2025 CP$^2$: Leveraging Geometry for Conformal Prediction via Canonicalization UAI 2025