Heteroscedastic Calibration of Uncertainty Estimators in Deep Learning

30 October 2019

Papers citing "Heteroscedastic Calibration of Uncertainty Estimators in Deep Learning"

5 / 5 papers shown

Title
Bayesian Autoencoders for Drift Detection in Industrial Environments Bang Xiang Yong Yasmin Fathy Alexandra Brintrup UQCV 27 8 0 28 Jul 2021
A Survey of Uncertainty in Deep Neural Networks J. Gawlikowski Cedrique Rovile Njieutcheu Tassi Mohsin Ali Jongseo Lee Matthias Humt ... R. Roscher Muhammad Shahzad Wen Yang R. Bamler Xiaoxiang Zhu BDL UQCV OOD 66 1,115 0 07 Jul 2021
Methods for Interpreting and Understanding Deep Neural Networks G. Montavon Wojciech Samek K. Müller FaML 234 2,242 0 24 Jun 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 280 5,695 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 289 9,167 0 06 Jun 2015