out-of-distribution detection

Unknown-Aware Graph Regularization for Robust Semi-supervised Learning from Uncurated Data AAAI 2024 Unsupervised Layer-Wise Score Aggregation for Textual OOD Detection AAAI 2024 ValUES: A Framework for Systematic Validation of Uncertainty Estimation in Semantic Segmentation ICLR 2024 Variational Bayesian Last Layers ICLR 2024 VI-OOD: A Unified Framework of Representation Learning for Textual Out-of-distribution Detection COLING 2024 Vision-Language Dual-Pattern Matching for Out-of-Distribution Detection ECCV 2024 Weak Distribution Detectors Lead to Stronger Generalizability of Vision-Language Prompt Tuning AAAI 2024 WeiPer: OOD Detection using Weight Perturbations of Class Projections NeurIPS 2024 What If the Input is Expanded in OOD Detection? NeurIPS 2024 When and How Does In-Distribution Label Help Out-of-Distribution Detection? ICML 2024 Who Needs Decoders? Efficient Estimation of Sequence-Level Attributes with Proxies EACL 2024 YolOOD: Utilizing Object Detection Concepts for Multi-Label Out-of-Distribution Detection CVPR 2024 Your Diffusion Model is Secretly a Noise Classifier and Benefits from Contrastive Training NeurIPS 2024 A Causal View of Entity Bias in (Large) Language Models EMNLP 2023 A Closer Look at the Robustness of Contrastive Language-Image Pre-Training (CLIP) NeurIPS 2023 A Critical Analysis of Document Out-of-Distribution Detection EMNLP 2023 ActMAD: Activation Matching To Align Distributions for Test-Time-Training CVPR 2023 AdaptiveMix: Improving GAN Training via Feature Space Shrinkage CVPR 2023 Adaptive Uncertainty Estimation via High-Dimensional Testing on Latent Representations NeurIPS 2023 A framework for benchmarking Class-out-of-distribution detection and its application to ImageNet ICLR 2023 A Learning Based Hypothesis Test for Harmful Covariate Shift ICLR 2023 Anomaly Detection Under Distribution Shift ICCV 2023 APP: Adaptive Prototypical Pseudo-Labeling for Few-shot OOD Detection EMNLP 2023 A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness JMLR 2023 ATTA: Anomaly-aware Test-Time Adaptation for Out-of-Distribution Detection in Segmentation NeurIPS 2023