Out-of-Distribution Detection

Towards a Unifying Framework for Formal Theories of Novelty AAAI 2021 Types of Out-of-Distribution Texts and How to Detect Them EMNLP 2021 Unsupervised Out-of-Domain Detection via Pre-trained Transformers ACL 2021 Background Data Resampling for Outlier-Aware Classification CVPR 2020 Certifiably Adversarially Robust Detection of Out-of-Distribution Data NeurIPS 2020 Conditional Gaussian Distribution Learning for Open Set Recognition CVPR 2020 CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances NeurIPS 2020 Deep Residual Flow for Out of Distribution Detection CVPR 2020 Generalized ODIN: Detecting Out-of-Distribution Image Without Learning From Out-of-Distribution Data CVPR 2020 Learning to Learn Single Domain Generalization CVPR 2020 Likelihood Ratios and Generative Classifiers for Unsupervised Out-of-Domain Detection in Task Oriented Dialog AAAI 2020 Maximizing Overall Diversity for Improved Uncertainty Estimates in Deep Ensembles AAAI 2020 Self-Supervised Learning for Generalizable Out-of-Distribution Detection AAAI 2020 Towards Maximizing the Representation Gap between In-Domain & Out-of-Distribution Examples NeurIPS 2020 Will it Unblend? EMNLP 2020 Classification-Reconstruction Learning for Open-Set Recognition CVPR 2019 Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift NeurIPS 2019 Out-Of-Distribution Detection for Generalized Zero-Shot Action Recognition CVPR 2019 Out-of-Domain Detection for Low-Resource Text Classification Tasks EMNLP 2019 Strike (With) a Pose: Neural Networks Are Easily Fooled by Strange Poses of Familiar Objects CVPR 2019 Deep Anomaly Detection Using Geometric Transformations NeurIPS 2018 Identifying Domain Adjacent Instances for Semantic Parsers EMNLP 2018 Out-of-Distribution Detection using Multiple Semantic Label Representations NeurIPS 2018 Reducing Network Agnostophobia NeurIPS 2018 Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles NeurIPS 2017