Out-of-Distribution Detection

Balanced Energy Regularization Loss for Out-of-Distribution Detection CVPR 2023 Deep Uniformly Distributed Centers on a Hypersphere for Open Set Recognition ACML 2023 Detection of Out-of-Distribution Samples Using Binary Neuron Activation Patterns CVPR 2023 DrugOOD: Out-of-Distribution Dataset Curator and Benchmark for AI-Aided Drug Discovery – a Focus on Affinity Prediction Problems with Noise Annotations AAAI 2023 Exploring Large Language Models for Multi-Modal Out-of-Distribution Detection EMNLP 2023 GEN: Pushing the Limits of Softmax-Based Out-of-Distribution Detection CVPR 2023 Key Feature Replacement of In-Distribution Samples for Out-of-Distribution Detection AAAI 2023 On Prefix-tuning for Lightweight Out-of-distribution Detection ACL 2023 Towards In-Distribution Compatible Out-of-Distribution Detection AAAI 2023 Understanding the Feature Norm for Out-of-Distribution Detection ICCV 2023 End-to-End Open-Set Semi-Supervised Node Classification with Out-of-Distribution Detection IJCAI 2022 Evading the Simplicity Bias: Training a Diverse Set of Models Discovers Solutions With Superior OOD Generalization CVPR 2022 iDECODe: In-Distribution Equivariance for Conformal Out-of-Distribution Detection AAAI 2022 Out of Distribution Detection via Neural Network Anchoring ACML 2022 SNAIL: Semi-Separated Uncertainty Adversarial Learning for Universal Domain Adaptation ACML 2022 Investigating the Effect of Natural Language Explanations on Out-of-Distribution Generalization in Few-shot NLI EMNLP 2021 Out-of-Distribution Detection Using Union of 1-Dimensional Subspaces CVPR 2021 Do Deep Generative Models Know What They Don't Know? ICLR 2019