out-of-distribution detection

Network Inversion for Uncertainty-Aware Out-of-Distribution Detection (Student Abstract) AAAI 2026 Neural Distribution Prior for LiDAR Out-of-Distribution Detection CVPR 2026 Not Just How Much, But Where: Decomposing Epistemic Uncertainty into Per-Class Contributions UAI 2026 Omni-Fake: Benchmarking Unified Multimodal Social Media Deepfake Detection CVPR 2026 One Model, Many Behaviors: Training-Induced Effects on Out-of-Distribution Detection WACV 2026 Out-of-Distribution Detection with Positive and Negative Prompt Supervision Using Large Language Models AAAI 2026 PAF: Perturbation-Aware Filtering for Open-Set Semi-Supervised Learning CVPR 2026 Preconditioned Test-Time Adaptation for Out-of-Distribution Debiasing in Narrative Generation ACL 2026 ProOOD: Prototype-Guided Out-of-Distribution 3D Occupancy Prediction CVPR 2026 R2-Seg: Training-Free OOD Medical Tumor Segmentation via Anatomical Reasoning and Statistical Rejection CVPR 2026 RankOOD - Class Ranking-based Out-of-Distribution Detection CVPR 2026 RC-NF: Robot-Conditioned Normalizing Flow for Real-Time Anomaly Detection in Robotic Manipulation CVPR 2026 REACH: Explicit Recovery Behavior for Diffusion Policies CVPR 2026 Reinforcement Learning–Guided Adaptive Tuning for Out-of-Distribution Harmful Text Detection ACL 2026 Rethinking Open-world Prompt Tuning: A Systematic Framework for Evaluation and Optimization AAAI 2026 Set-based v.s. Distribution-based Representations of Epistemic Uncertainty: A Comparative Study UAI 2026 Shaping Parameter Contribution Patterns for Out-of-Distribution Detection AAAI 2026 Sparsity as a Key: Unlocking New Insights from Latent Structures for Out-of-Distribution Detection CVPR 2026 STAR: Test-Time Adaptation Can Enhance Universal Prompt Learning for Vision-Language Models CVPR 2026 Stop Probing, Start Coding: Why Linear Probes and Sparse Autoencoders Fail at Compositional Generalization UAI 2026 Teach AI What It Doesn’t Know AAAI 2026 The Invisible Gorilla Effect in Out-of-distribution Detection CVPR 2026 Toward Robust In-Context Learning: Leveraging Out-of-distribution Proxies for Target Inaccessible Demonstration Retrieval ACL 2026 TTL: Test-time Textual Learning for OOD Detection with Pretrained Vision-Language Models CVPR 2026 Uncertainty Quantification for Machine Learning: One Size Does Not Fit All AAAI 2026