epistemic uncertainty

Plausible Uncertainties for Human Pose Regression ICCV 2023 Probabilities Are Not Enough: Formal Controller Synthesis for Stochastic Dynamical Models with Epistemic Uncertainty AAAI 2023 Quantification of Uncertainty with Adversarial Models NeurIPS 2023 Quantifying aleatoric and epistemic uncertainty in machine learning: Are conditional entropy and mutual information appropriate measures? UAI 2023 The Unreasonable Effectiveness of Deep Evidential Regression AAAI 2023 USDNL: Uncertainty-Based Single Dropout in Noisy Label Learning AAAI 2023 Biological Sequence Design with GFlowNets ICML 2022 Deep Probability Estimation ICML 2022 Disentangling Uncertainty in Machine Translation Evaluation EMNLP 2022 Do Bayesian variational autoencoders know what they don’t know? UAI 2022 Evidential Reasoning and Learning: a Survey IJCAI 2022 Fair Conformal Predictors for Applications in Medical Imaging AAAI 2022 FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation NeurIPS 2022 Grassmann Stein Variational Gradient Descent AISTATS 2022 Implications of Model Indeterminacy for Explanations of Automated Decisions NeurIPS 2022 Improving Bayesian Neural Networks by Adversarial Sampling AAAI 2022 Inference and Learning with Model Uncertainty in Probabilistic Logic Programs AAAI 2022 Information-Theoretic Analysis of Epistemic Uncertainty in Bayesian Meta-learning AISTATS 2022 Interpretable Self-Aware Neural Networks for Robust Trajectory Prediction CoRL 2022 Laplace Approximation Based Epistemic Uncertainty Estimation in 3D Object Detection CoRL 2022 Learning more skills through optimistic exploration ICLR 2022 Model-Value Inconsistency as a Signal for Epistemic Uncertainty ICML 2022 Nonparametric Uncertainty Quantification for Single Deterministic Neural Network NeurIPS 2022 On the Practicality of Deterministic Epistemic Uncertainty ICML 2022 Out of Distribution Detection via Neural Network Anchoring ACML 2022