uncertainty quantification

NOMU: Neural Optimization-based Model Uncertainty ICML 2022 Nonparametric Uncertainty Quantification for Single Deterministic Neural Network NeurIPS 2022 Offline Policy Selection under Uncertainty AISTATS 2022 On the Effectiveness of Automated Metrics for Text Generation Systems EMNLP 2022 On the Practicality of Deterministic Epistemic Uncertainty ICML 2022 On the Utility of Prediction Sets in Human-AI Teams IJCAI 2022 OpenTAL: Towards Open Set Temporal Action Localization CVPR 2022 Out of Distribution Data Detection Using Dropout Bayesian Neural Networks AAAI 2022 PAC Prediction Sets for Meta-Learning NeurIPS 2022 PAC Prediction Sets Under Covariate Shift ICLR 2022 PDQ-Net: Deep probabilistic dual quaternion network for absolute pose regression on $SE(3)$ UAI 2022 Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning ICLR 2022 Physics Informed Deep Kernel Learning AISTATS 2022 PI3NN: Out-of-distribution-aware Prediction Intervals from Three Neural Networks ICLR 2022 Pitfalls of Epistemic Uncertainty Quantification through Loss Minimisation NeurIPS 2022 Plan To Predict: Learning an Uncertainty-Foreseeing Model For Model-Based Reinforcement Learning NeurIPS 2022 PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance ICML 2022 Posterior and Computational Uncertainty in Gaussian Processes NeurIPS 2022 Practical uncertainty quantification for brain tumor segmentation MIDL 2022 Predicting scalar diversity with context-driven uncertainty over alternatives ACL 2022 Predicting the impact of treatments over time with uncertainty aware neural differential equations. AISTATS 2022 Predictive Whittle networks for time series UAI 2022 PrEF: Probabilistic Electricity Forecasting via Copula-Augmented State Space Model AAAI 2022 Probabilistic Numerical Method of Lines for Time-Dependent Partial Differential Equations AISTATS 2022 Probabilistic ODE Solutions in Millions of Dimensions ICML 2022