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epistemic uncertainty

156 papers

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EU

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uncertainty quantification (1365) aleatoric uncertainty (105) out-of-distribution detection (611) uncertainty estimation (639) bayesian neural network (201) neural network (6616) bayesian inference (1904) reinforcement learning (4122) active learning (1295) large language model (12755)

Papers

Do Bayesian variational autoencoders know what they don’t know? UAI 2022
Disentangling Uncertainty in Machine Translation Evaluation EMNLP 2022
Tackling covariate shift with node-based Bayesian neural networks ICML 2022
Deep Probability Estimation ICML 2022
Pitfalls of Epistemic Uncertainty Quantification through Loss Minimisation NIPS 2022
The Implicit Delta Method NIPS 2022
Uncertainty-Aware Reinforcement Learning for Risk-Sensitive Player Evaluation in Sports Game NIPS 2022
Planning to the Information Horizon of BAMDPs via Epistemic State Abstraction NIPS 2022
FiLM-Ensemble: Probabilistic Deep Learning via Feature-wise Linear Modulation NIPS 2022
Nonparametric Uncertainty Quantification for Single Deterministic Neural Network NIPS 2022
Fair Conformal Predictors for Applications in Medical Imaging AAAI 2022
SENTINEL: taming uncertainty with ensemble based distributional reinforcement learning UAI 2022
Implications of Model Indeterminacy for Explanations of Automated Decisions NIPS 2022
Biological Sequence Design with GFlowNets ICML 2022
Information-Theoretic Analysis of Epistemic Uncertainty in Bayesian Meta-learning AISTATS 2022
On the Practicality of Deterministic Epistemic Uncertainty ICML 2022
Uncertainty-Guided Probabilistic Transformer for Complex Action Recognition CVPR 2022
Uncertainty-Aware Learning against Label Noise on Imbalanced Datasets AAAI 2022
Inference and Learning with Model Uncertainty in Probabilistic Logic Programs AAAI 2022
Improving Bayesian Neural Networks by Adversarial Sampling AAAI 2022
Digging Into Uncertainty in Self-Supervised Multi-View Stereo ICCV 2021
Robust Finite-State Controllers for Uncertain POMDPs AAAI 2021
Improving black-box optimization in VAE latent space using decoder uncertainty NIPS 2021
Principled Exploration via Optimistic Bootstrapping and Backward Induction ICML 2021
Uncertainty-Matching Graph Neural Networks to Defend Against Poisoning Attacks AAAI 2021