Out-of-Distribution Detection

OpenAUC: Towards AUC-Oriented Open-Set Recognition NeurIPS 2022 OpenOOD: Benchmarking Generalized Out-of-Distribution Detection NeurIPS 2022 Out of Distribution Data Detection Using Dropout Bayesian Neural Networks AAAI 2022 Out-of-Distribution Detection via Conditional Kernel Independence Model NeurIPS 2022 PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures CVPR 2022 Provable Guarantees for Understanding Out-of-Distribution Detection AAAI 2022 Provably Adversarially Robust Detection of Out-of-Distribution Data (Almost) for Free NeurIPS 2022 RankFeat: Rank-1 Feature Removal for Out-of-distribution Detection NeurIPS 2022 Revisit Overconfidence for OOD Detection: Reassigned Contrastive Learning with Adaptive Class-dependent Threshold NAACL 2022 UniNL: Aligning Representation Learning with Scoring Function for OOD Detection via Unified Neighborhood Learning EMNLP 2022 ViM: Out-of-Distribution With Virtual-Logit Matching CVPR 2022 Watermarking for Out-of-distribution Detection NeurIPS 2022 Your Out-of-Distribution Detection Method is Not Robust! NeurIPS 2022 Assessing the Generalization Capacity of Pre-trained Language Models through Japanese Adversarial Natural Language Inference EMNLP 2021 Contrastive Out-of-Distribution Detection for Pretrained Transformers EMNLP 2021 Detecting Compositionally Out-of-Distribution Examples in Semantic Parsing EMNLP 2021 Detecting Errors and Estimating Accuracy on Unlabeled Data with Self-training Ensembles NeurIPS 2021 Generative Interventions for Causal Learning CVPR 2021 MOOD: Multi-Level Out-of-Distribution Detection CVPR 2021 MOS: Towards Scaling Out-of-Distribution Detection for Large Semantic Space CVPR 2021 Natural Adversarial Examples CVPR 2021 Neural Sequence-to-grid Module for Learning Symbolic Rules AAAI 2021 ODIST: Open World Classification via Distributionally Shifted Instances EMNLP 2021 PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation CVPR 2021 Topological Uncertainty: Monitoring Trained Neural Networks through Persistence of Activation Graphs IJCAI 2021