out-of-distribution detection

Improving Evidential Deep Learning via Multi-Task Learning AAAI 2022 Introspective Learning : A Two-Stage approach for Inference in Neural Networks NeurIPS 2022 Investigating Selective Prediction Approaches Across Several Tasks in IID, OOD, and Adversarial Settings ACL 2022 Is Out-of-Distribution Detection Learnable? NeurIPS 2022 Learning Confidence for Transformer-based Neural Machine Translation ACL 2022 Maximum Class Separation as Inductive Bias in One Matrix NeurIPS 2022 Meta Learning Low Rank Covariance Factors for Energy Based Deterministic Uncertainty ICLR 2022 Meta-learning Pathologies from Radiology Reports using Variance Aware Prototypical Networks EMNLP 2022 Mitigating Neural Network Overconfidence with Logit Normalization ICML 2022 Model-agnostic out-of-distribution detection using combined statistical tests AISTATS 2022 Models Out of Line: A Fourier Lens on Distribution Shift Robustness NeurIPS 2022 Natural Posterior Network: Deep Bayesian Predictive Uncertainty for Exponential Family Distributions ICLR 2022 Neural Mean Discrepancy for Efficient Out-of-Distribution Detection CVPR 2022 On Continual Model Refinement in Out-of-Distribution Data Streams ACL 2022 On the Impact of Spurious Correlation for Out-of-Distribution Detection AAAI 2022 On the Practicality of Deterministic Epistemic Uncertainty ICML 2022 OpenOOD: Benchmarking Generalized Out-of-Distribution Detection NeurIPS 2022 Open-Set Recognition: A Good Closed-Set Classifier is All You Need ICLR 2022 Out of Distribution Data Detection Using Dropout Bayesian Neural Networks AAAI 2022 Out-of-Distribution Detection via Conditional Kernel Independence Model NeurIPS 2022 Out of Distribution Detection via Neural Network Anchoring ACML 2022 Out-of-Distribution Detection with An Adaptive Likelihood Ratio on Informative Hierarchical VAE NeurIPS 2022 Out-of-Distribution Detection with Deep Nearest Neighbors ICML 2022 Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition ICML 2022 Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning ICLR 2022