distribution shift

Out-of-distribution robustness for multivariate analysis via causal regularisation AISTATS 2025 Out-of-distribution Robust Optimization UAI 2025 Overcoming Shortcut Problem in VLM for Robust Out-of-Distribution Detection CVPR 2025 PertEval-scFM: Benchmarking Single-Cell Foundation Models for Perturbation Effect Prediction ICML 2025 Phases of Uncertainty: Confidence–Calibration Dynamics in Language Model Training EMNLP 2025 Point-Cache: Test-time Dynamic and Hierarchical Cache for Robust and Generalizable Point Cloud Analysis CVPR 2025 Population Aware Diffusion for Time Series Generation AAAI 2025 Processing and acquisition traces in visual encoders: What does CLIP know about your camera? ICCV 2025 Progressive Test Time Energy Adaptation for Medical Image Segmentation ICCV 2025 Purge-Gate: Backpropagation-Free Test-Time Adaptation for Point Clouds Classification via Token purging ICCV 2025 RA-TTA: Retrieval-Augmented Test-Time Adaptation for Vision-Language Models ICLR 2025 Realistic Test-Time Adaptation of Vision-Language Models CVPR 2025 Recursive Training Loops in LLMs: How training data properties modulate distribution shift in generated data? EMNLP 2025 RESQUE: Quantifying Estimator to Task and Distribution Shift for Sustainable Model Reusability AAAI 2025 Rethinking Fair Representation Learning for Performance-Sensitive Tasks ICLR 2025 Revisiting Large-Scale Non-convex Distributionally Robust Optimization ICLR 2025 RTDiff: Reverse Trajectory Synthesis via Diffusion for Offline Reinforcement Learning ICLR 2025 Safety Certificate against Latent Variables with Partially Unidentifiable Dynamics ICML 2025 Scalable Out-of-Distribution Robustness in the Presence of Unobserved Confounders AISTATS 2025 Seeing the Unseen: Composing Outliers for Compositional Zero-Shot Learning IJCAI 2025 Selective Uncertainty Propagation in Offline RL AAAI 2025 Self-Expansion of Pre-trained Models with Mixture of Adapters for Continual Learning CVPR 2025 Smoothing the Shift: Towards Stable Test-Time Adaptation under Complex Multimodal Noises ICLR 2025 Structure-informed Risk Minimization for Robust Ensemble Learning ICML 2025 SUB: Benchmarking CBM Generalization via Synthetic Attribute Substitutions ICCV 2025