predictive uncertainty

Getting a CLUE: A Method for Explaining Uncertainty Estimates ICLR 2021 Human Uncertainty Inference via Deterministic Ensemble Neural Networks AAAI 2021 Laplace Redux - Effortless Bayesian Deep Learning NeurIPS 2021 Learnable uncertainty under Laplace approximations UAI 2021 On Hallucination and Predictive Uncertainty in Conditional Language Generation EACL 2021 Revisiting the Calibration of Modern Neural Networks NeurIPS 2021 Towards Trustworthy Predictions from Deep Neural Networks with Fast Adversarial Calibration AAAI 2021 Trust Your Robots! Predictive Uncertainty Estimation of Neural Networks with Sparse Gaussian Processes CoRL 2021 Uncertainty in Gradient Boosting via Ensembles ICLR 2021 Beyond the Mean-Field: Structured Deep Gaussian Processes Improve the Predictive Uncertainties NeurIPS 2020 Deep Gaussian Markov Random Fields ICML 2020 Deep Sigma Point Processes UAI 2020 Discriminative Jackknife: Quantifying Uncertainty in Deep Learning via Higher-Order Influence Functions ICML 2020 Efficient Out-of-Distribution Detection in Digital Pathology Using Multi-Head Convolutional Neural Networks MIDL 2020 Efficient Predictive Uncertainty Estimators for Deep Probabilistic Models AAAI 2020 Estimating predictive uncertainty for rumour verification models ACL 2020 Neuronal Gaussian Process Regression NeurIPS 2020 Non-Parametric Calibration for Classification AISTATS 2020 Predictive Uncertainty Estimation for Tractable Deep Probabilistic Models IJCAI 2020 Selective Dyna-Style Planning Under Limited Model Capacity ICML 2020 Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness NeurIPS 2020 Transferable Calibration with Lower Bias and Variance in Domain Adaptation NeurIPS 2020 Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning MIDL 2020 Calibrated Model-Based Deep Reinforcement Learning ICML 2019 Can you trust your model's uncertainty? Evaluating predictive uncertainty under dataset shift NeurIPS 2019