out of distribution

Generalizable Video Quality Assessment via Weak-to-Strong Learning CVPR 2026 Safe Control using Learned Safety Filters and Adaptive Conformal Inference L4DC 2026 When Can Transformers Count to n? UAI 2026 Adapting by Analogy: OOD Generalization of Visuomotor Policies via Functional Correspondence CoRL 2025 Adversarial Domain Prompt Tuning and Generation for Single Domain Generalization CVPR 2025 An Out-Of-Distribution Membership Inference Attack Approach for Cross-Domain Graph Attacks IJCAI 2025 A Recipe for Causal Graph Regression: Confounding Effects Revisited ICML 2025 CERTAIN: Context Uncertainty-aware One-Shot Adaptation for Context-based Offline Meta Reinforcement Learning ICML 2025 Data Drives Unstable Hierarchical Generalization in LMs EMNLP 2025 Improving Out-of-distribution Human Activity Recognition via IMU-Video Cross-modal Representation Learning MLHC 2025 LAION-C: An Out-of-Distribution Benchmark for Web-Scale Vision Models ICML 2025 MITIGATING OVER-EXPLORATION IN LATENT SPACE OPTIMIZATION USING LES ICML 2025 Position: AI Safety Must Embrace an Antifragile Perspective ICML 2025 Uncertainty-aware Latent Safety Filters for Avoiding Out-of-Distribution Failures CoRL 2025 Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach ICML 2025 Adaptive Advantage-Guided Policy Regularization for Offline Reinforcement Learning ICML 2024 A Generative Approach for Treatment Effect Estimation under Collider Bias: From an Out-of-Distribution Perspective ICML 2024 A Geometric Explanation of the Likelihood OOD Detection Paradox ICML 2024 Deciphering the Role of Representation Disentanglement: Investigating Compositional Generalization in CLIP Models ECCV 2024 Improving Identically Distributed and Out-of-Distribution Medical Image Classification with Segmentation-Guided Attention in Small Dataset Scenarios MIDL 2024 LCA-on-the-Line: Benchmarking Out of Distribution Generalization with Class Taxonomies ICML 2024 LEVI: Generalizable Fine-tuning via Layer-wise Ensemble of Different Views ICML 2024 OODRobustBench: a Benchmark and Large-Scale Analysis of Adversarial Robustness under Distribution Shift ICML 2024 RetroOOD: Understanding Out-of-Distribution Generalization in Retrosynthesis Prediction AAAI 2024 Towards a Collective Medical Imaging AI: Enabling Continual Learning from Peers MIDL 2024