out-of-distribution detection

Uncertainty Estimation Using a Single Deep Deterministic Neural Network ICML 2020 Understanding Anomaly Detection with Deep Invertible Networks through Hierarchies of Distributions and Features NeurIPS 2020 Why Normalizing Flows Fail to Detect Out-of-Distribution Data NeurIPS 2020 Your classifier is secretly an energy based model and you should treat it like one ICLR 2020 Accurate Layerwise Interpretable Competence Estimation NeurIPS 2019 Building Trust in Deep Learning System towards Automated Disease Detection AAAI 2019 Classification-Reconstruction Learning for Open-Set Recognition CVPR 2019 Deep Anomaly Detection with Outlier Exposure ICLR 2019 Deep Transfer Learning for Multiple Class Novelty Detection CVPR 2019 Do Deep Generative Models Know What They Don't Know? ICLR 2019 Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift NeurIPS 2019 Hybrid Models with Deep and Invertible Features ICML 2019 HyperGAN: A Generative Model for Diverse, Performant Neural Networks ICML 2019 Learning and the Unknown: Surveying Steps toward Open World Recognition AAAI 2019 Likelihood Ratios for Out-of-Distribution Detection NeurIPS 2019 Modeling Uncertainty by Learning a Hierarchy of Deep Neural Connections NeurIPS 2019 Noise Contrastive Priors for Functional Uncertainty UAI 2019 Out-Of-Distribution Detection for Generalized Zero-Shot Action Recognition CVPR 2019 Reverse KL-Divergence Training of Prior Networks: Improved Uncertainty and Adversarial Robustness NeurIPS 2019 Unsupervised Out-of-Distribution Detection by Maximum Classifier Discrepancy ICCV 2019 Using Pre-Training Can Improve Model Robustness and Uncertainty ICML 2019 Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty NeurIPS 2019 Why ReLU Networks Yield High-Confidence Predictions Far Away From the Training Data and How to Mitigate the Problem CVPR 2019 A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks NeurIPS 2018 Deep Anomaly Detection Using Geometric Transformations NeurIPS 2018