out-of-distribution detection

MOS: Towards Scaling Out-of-Distribution Detection for Large Semantic Space CVPR 2021 Multidimensional Uncertainty-Aware Evidential Neural Networks AAAI 2021 Multiscale Score Matching for Out-of-Distribution Detection ICLR 2021 Natural Adversarial Examples CVPR 2021 Neural Bootstrapper NeurIPS 2021 NGC: A Unified Framework for Learning With Open-World Noisy Data ICCV 2021 ODIST: Open World Classification via Distributionally Shifted Instances EMNLP 2021 On complementing end-to-end human behavior predictors with planning RSS 2021 On the Importance of Gradients for Detecting Distributional Shifts in the Wild NeurIPS 2021 On the Out-of-distribution Generalization of Probabilistic Image Modelling NeurIPS 2021 Open-set Label Noise Can Improve Robustness Against Inherent Label Noise NeurIPS 2021 Out-of-Distribution Detection Using Union of 1-Dimensional Subspaces CVPR 2021 Out-of-Scope Intent Detection with Self-Supervision and Discriminative Training ACL 2021 POODLE: Improving Few-shot Learning via Penalizing Out-of-Distribution Samples NeurIPS 2021 ReAct: Out-of-distribution Detection With Rectified Activations NeurIPS 2021 Reliable and Trustworthy Machine Learning for Health Using Dataset Shift Detection NeurIPS 2021 RETRIEVE: Coreset Selection for Efficient and Robust Semi-Supervised Learning NeurIPS 2021 Self-supervised Out-of-distribution Detection for Cardiac CMR Segmentation MIDL 2021 Semantically Coherent Out-of-Distribution Detection ICCV 2021 SIMILAR: Submodular Information Measures Based Active Learning In Realistic Scenarios NeurIPS 2021 Single Layer Predictive Normalized Maximum Likelihood for Out-of-Distribution Detection NeurIPS 2021 Sketching curvature for efficient out-of-distribution detection for deep neural networks UAI 2021 SSD: A Unified Framework for Self-Supervised Outlier Detection ICLR 2021 STEP: Out-of-Distribution Detection in the Presence of Limited In-Distribution Labeled Data NeurIPS 2021 Structured Dropout Variational Inference for Bayesian Neural Networks NeurIPS 2021