out-of-distribution detection

Can We Detect Failures Without Failure Data? Uncertainty-Aware Runtime Failure Detection for Imitation Learning Policies RSS 2025 Can We Ignore Labels in Out of Distribution Detection? ICLR 2025 CLIP-driven Coarse-to-fine Semantic Guidance for Fine-grained Open-set Semi-supervised Learning CVPR 2025 CLIPScope: Enhancing Zero-Shot OOD Detection with Bayesian Scoring WACV 2025 Concept Matching with Agent for Out-of-Distribution Detection AAAI 2025 Constrained Offline Black-Box Optimization via Risk Evaluation and Management AAAI 2025 COSTARR: Consolidated Open Set Technique with Attenuation for Robust Recognition ICCV 2025 CRAFT: Class Ranking Aware Fine-Tuning for Enhanced Out-of-Distribution Detection WACV 2025 Credal Wrapper of Model Averaging for Uncertainty Estimation in Classification ICLR 2025 Cross-Rejective Open-Set SAR Image Registration CVPR 2025 D^3: Scaling Up Deepfake Detection by Learning from Discrepancy CVPR 2025 Decoupled Graph Energy-based Model for Node Out-of-Distribution Detection on Heterophilic Graphs ICLR 2025 Deep Out-of-Distribution Uncertainty Quantification via Weight Entropy Maximization JMLR 2025 Detecting Out-of-Distribution Through the Lens of Neural Collapse CVPR 2025 Diagnosing Pretrained Models for Out-of-distribution Detection ICCV 2025 Diffusion-based Semantic Outlier Generation via Nuisance Awareness for Out-of-Distribution Detection AAAI 2025 DisCoPatch: Taming Adversarially-driven Batch Statistics for Improved Out-of-Distribution Detection ICCV 2025 DPU: Dynamic Prototype Updating for Multimodal Out-of-Distribution Detection CVPR 2025 Dual Energy-Based Model with Open-World Uncertainty Estimation for Out-of-distribution Detection CVPR 2025 EDGE: Unknown-aware Multi-label Learning by Energy Distribution Gap Expansion AAAI 2025 Efficient Active Imitation Learning with Random Network Distillation ICLR 2025 ELBO, regularized maximum likelihood, and their common one-sample approximation for training stochastic neural networks UAI 2025 Enhanced OoD Detection through Cross-Modal Alignment of Multi-Modal Representations CVPR 2025 Equipping Vision Foundation Model with Mixture of Experts for Out-of-Distribution Detection ICCV 2025 Error Detection for Multimodal Classification NAACL 2025