out-of-distribution detection

Prototype-based Optimal Transport for Out-of-Distribution Detection IJCAI 2025 Provable Discriminative Hyperspherical Embedding for Out-of-Distribution Detection AAAI 2025 Provably Safeguarding a Classifier from OOD and Adversarial Samples ICLR 2025 Pursuing Feature Separation based on Neural Collapse for Out-of-Distribution Detection ICLR 2025 Random-Set Neural Networks ICLR 2025 Rectified Lagrangian for Out-of-Distribution Detection in Modern Hopfield Networks AAAI 2025 Reflexive Guidance: Improving OoDD in Vision-Language Models via Self-Guided Image-Adaptive Concept Generation ICLR 2025 REPEAT: Improving Uncertainty Estimation in Representation Learning Explainability AAAI 2025 Reviving Poor Object Segmentations in OOD Medical Images using Variational-Deep-PCA Modeling on Segmentation Maps with Sampling-Free Learning WACV 2025 ROADS: Robust Prompt-Driven Multi-Class Anomaly Detection under Domain Shift WACV 2025 Robust Novelty Detection through Style-Conscious Feature Ranking WACV 2025 Rule Discovery for Natural Language Inference Data Generation Using Out-of-Distribution Detection EMNLP 2025 RUNA: Object-Level Out-of-Distribution Detection via Regional Uncertainty Alignment of Multimodal Representations AAAI 2025 Safe, Out-of-Distribution-Adaptive MPC with Conformalized Neural Network Ensembles L4DC 2025 Secure On-Device Video OOD Detection Without Backpropagation ICCV 2025 Simplification Is All You Need against Out-of-Distribution Overconfidence CVPR 2025 SpectralGap: Graph-Level Out-of-Distribution Detection via Laplacian Eigenvalue Gaps IJCAI 2025 Split-and-Combine: Enhancing Style Augmentation for Single Domain Generalization ICCV 2025 Spreading Out-of-Distribution Detection on Graphs ICLR 2025 Stochastic Embeddings : A Probabilistic and Geometric Analysis of Out-of-Distribution Behavior UAI 2025 Stop Diverse OOD Attacks: Knowledge Ensemble for Reliable Defense AAAI 2025 Structural Entropy Guided Unsupervised Graph Out-Of-Distribution Detection AAAI 2025 Synthesizing Near-Boundary OOD Samples for Out-of-Distribution Detection ICCV 2025 Text Meets Topology: Rethinking Out-of-distribution Detection in Text-Rich Networks EMNLP 2025 Things Machine Learning Models Know That They Don’t Know AAAI 2025