epistemic uncertainty

Robust Bayesian Neural Networks by Spectral Expectation Bound Regularization CVPR 2021 Robust Finite-State Controllers for Uncertain POMDPs AAAI 2021 Sketching curvature for efficient out-of-distribution detection for deep neural networks UAI 2021 Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions NeurIPS 2021 Uncertain Graph Neural Networks for Facial Action Unit Detection AAAI 2021 Uncertainty-Matching Graph Neural Networks to Defend Against Poisoning Attacks AAAI 2021 Why Generalization in RL is Difficult: Epistemic POMDPs and Implicit Partial Observability NeurIPS 2021 Automatic Curriculum Learning through Value Disagreement NeurIPS 2020 Can Autonomous Vehicles Identify, Recover From, and Adapt to Distribution Shifts? ICML 2020 Deep Evidential Regression NeurIPS 2020 Efficient Model-Based Reinforcement Learning through Optimistic Policy Search and Planning NeurIPS 2020 Hypermodels for Exploration ICLR 2020 Justification-Based Reliability in Machine Learning AAAI 2020 Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts NeurIPS 2020 Prediction Intervals: Split Normal Mixture from Quality-Driven Deep Ensembles UAI 2020 SDE-Net: Equipping Deep Neural Networks with Uncertainty Estimates ICML 2020 Uncertainty-Aware Action Advising for Deep Reinforcement Learning Agents AAAI 2020 Uncertainty-Aware Deep Classifiers Using Generative Models AAAI 2020 Variational Learning of Bayesian Neural Networks via Bayesian Dark Knowledge IJCAI 2020 Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning MIDL 2020 Sampling-Free Epistemic Uncertainty Estimation Using Approximated Variance Propagation ICCV 2019 Single-Model Uncertainties for Deep Learning NeurIPS 2019 Decomposition of Uncertainty in Bayesian Deep Learning for Efficient and Risk-sensitive Learning ICML 2018 Reliable Multi-class Classification based on Pairwise Epistemic and Aleatoric Uncertainty IJCAI 2018 What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? NeurIPS 2017