distribution shift

PRISM: Probabilistic Reward Model with Inherent Structural Modeling ACL 2026 Provably Safe Offline-to-Online RL: Decoupling Learning from Data-Driven Safety Enforcement ACL 2026 Query2Uncertainty: Robust Uncertainty Quantification and Calibration for 3D Object Detection under Distribution Shift CVPR 2026 Re-evaluating Continual VQA: Toward Fair and Robust Evaluation for Multimodal Continual Learning CVPR 2026 Reliable Policy Transfer for Safety-Aware End-to-End Driving with Deep Reinforcement Learning CVPR 2026 Rethinking Explanation Evaluation Under the Retraining Scheme AAAI 2026 ReVAD: From Imitation to Reasoning in Vectorized Autonomous Driving via Latent Space Search UAI 2026 Robust Decision-Focused Learning via Worst-Case Regret Minimization UAI 2026 Safe Planning in Interactive Environments via Iterative Policy Updates and Adversarially Robust Conformal Prediction L4DC 2026 Score-Based Diffusion Priors for Adaptive Conformal Inference under Distribution Shift UAI 2026 SemEval-2026 Task 13: Fine-tuned CodeBERT with Stratified Balancing, Dynamic Threshold Optimization, and Logit Bias Correction for Robust Multi-Language AI Code Detection SemEval 2026 Semi-supervised Domain Adaptation via Mutual Alignment through Joint Error WACV 2026 Sharp Bounds for Treatment Effect Generalization under Outcome Distribution Shift CLeaR 2026 SimLBR: Learning to Detect Fake Images by Learning to Detect Real Images CVPR 2026 Source-Free Graph Foundation Model Adaptation via Pseudo-Source Reconstruction AAAI 2026 SSA: Improving Performance With a Better Scoring Function ACL 2026 Teach a Reward Model to Correct Itself: Reward Guided Adversarial Failure Discovery for Robust Reward Modeling ACL 2026 TeamOmega at SemEval-2026 Task 13: Frozen vs. Trainable Representations for Out-of-Distribution AI-Generated Code Detection: A CodeBERT Fine-Tuning Study SemEval 2026 Team Yuvan at SemEval-2026 Task 13: Task-Adaptive Ensemble Strategies for AI-Generated Code Detection SemEval 2026 Test Time Adaptation Using Adaptive Quantile Recalibration WACV 2026 Test-Time Training for LiDAR Semantic Segmentation under Corruption via Geometric Inlier Discrimination CVPR 2026 TFB at SemEval-2026 Task 4: Diagnosing Model Failures in Narrative Understanding SemEval 2026 The Golden Subspace: Where Efficiency Meets Generalization in Continual Test-Time Adaptation CVPR 2026 Toward Robust In-Context Learning: Leveraging Out-of-distribution Proxies for Target Inaccessible Demonstration Retrieval ACL 2026 Uncertainty-Aware Subset Selection for Robust Visual Explainability under Distribution Shifts WACV 2026