Out-of-Distribution Detection

Learning Transferable Negative Prompts for Out-of-Distribution Detection CVPR 2024 MaNo: Exploiting Matrix Norm for Unsupervised Accuracy Estimation Under Distribution Shifts NeurIPS 2024 MaxEnt Loss: Calibrating Graph Neural Networks under Out-of-Distribution Shift (Student Abstract) AAAI 2024 Meta-Crafting: Improved Detection of Out-of-Distributed Texts via Crafting Metadata Space (Student Abstract) AAAI 2024 Out-of-Distribution Detection in Long-Tailed Recognition with Calibrated Outlier Class Learning AAAI 2024 Out-of-Distribution Detection through Soft Clustering with Non-Negative Kernel Regression EMNLP 2024 Out-Of-Distribution Detection with Diversification (Provably) NeurIPS 2024 Predicting the Performance of Foundation Models via Agreement-on-the-Line NeurIPS 2024 Rethinking the Evaluation of Out-of-Distribution Detection: A Sorites Paradox NeurIPS 2024 Seeing Unseen: Discover Novel Biomedical Concepts via Geometry-Constrained Probabilistic Modeling CVPR 2024 Self-Calibrated Tuning of Vision-Language Models for Out-of-Distribution Detection NeurIPS 2024 SeTAR: Out-of-Distribution Detection with Selective Low-Rank Approximation NeurIPS 2024 TagFog: Textual Anchor Guidance and Fake Outlier Generation for Visual Out-of-Distribution Detection AAAI 2024 Test-Time Linear Out-of-Distribution Detection CVPR 2024 The Best of Both Worlds: On the Dilemma of Out-of-distribution Detection NeurIPS 2024 UMB: Understanding Model Behavior for Open-World Object Detection NeurIPS 2024 Understanding Likelihood of Normalizing Flow and Image Complexity through the Lens of Out-of-Distribution Detection AAAI 2024 Unsupervised Layer-Wise Score Aggregation for Textual OOD Detection AAAI 2024 WeiPer: OOD Detection using Weight Perturbations of Class Projections NeurIPS 2024 What Variables Affect Out-of-Distribution Generalization in Pretrained Models? NeurIPS 2024 A Critical Analysis of Document Out-of-Distribution Detection EMNLP 2023 A Learning Based Hypothesis Test for Harmful Covariate Shift ICLR 2023 APP: Adaptive Prototypical Pseudo-Labeling for Few-shot OOD Detection EMNLP 2023 Are Data-Driven Explanations Robust Against Out-of-Distribution Data? CVPR 2023 Bayesian Cross-Modal Alignment Learning for Few-Shot Out-of-Distribution Generalization AAAI 2023