Out-of-Distribution Detection

Revisit PCA-based Technique for Out-of-Distribution Detection ICCV 2023 Robustness to Spurious Correlations Improves Semantic Out-of-Distribution Detection AAAI 2023 SELFOOD: Self-Supervised Out-Of-Distribution Detection via Learning to Rank EMNLP 2023 Towards In-Distribution Compatible Out-of-Distribution Detection AAAI 2023 Understanding the Feature Norm for Out-of-Distribution Detection ICCV 2023 Unknown Sniffer for Object Detection: Don't Turn a Blind Eye to Unknown Objects CVPR 2023 Window-Based Distribution Shift Detection for Deep Neural Networks NeurIPS 2023 Agreement-on-the-line: Predicting the Performance of Neural Networks under Distribution Shift NeurIPS 2022 Amodal Segmentation Through Out-of-Task and Out-of-Distribution Generalization With a Bayesian Model CVPR 2022 A Theoretical Study on Solving Continual Learning NeurIPS 2022 BARLE: Background-Aware Representation Learning for Background Shift Out-of-Distribution Detection EMNLP 2022 Boosting Out-of-distribution Detection with Typical Features NeurIPS 2022 Class-Aware Contrastive Semi-Supervised Learning CVPR 2022 Disentangling Confidence Score Distribution for Out-of-Domain Intent Detection with Energy-Based Learning EMNLP 2022 Diverse Weight Averaging for Out-of-Distribution Generalization NeurIPS 2022 End-to-End Open-Set Semi-Supervised Node Classification with Out-of-Distribution Detection IJCAI 2022 Enhancing Out-of-Distribution Detection in Natural Language Understanding via Implicit Layer Ensemble EMNLP 2022 Evaluating the Practical Utility of Confidence-score based Techniques for Unsupervised Open-world Classification ACL 2022 Exploiting Mixed Unlabeled Data for Detecting Samples of Seen and Unseen Out-of-Distribution Classes AAAI 2022 GraphDE: A Generative Framework for Debiased Learning and Out-of-Distribution Detection on Graphs NeurIPS 2022 iDECODe: In-Distribution Equivariance for Conformal Out-of-Distribution Detection AAAI 2022 Is Out-of-Distribution Detection Learnable? NeurIPS 2022 Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs NeurIPS 2022 LUNA: Localizing Unfamiliarity Near Acquaintance for Open-Set Long-Tailed Recognition AAAI 2022 On the Impact of Spurious Correlation for Out-of-Distribution Detection AAAI 2022