Calibrating Deep Neural Network Classifiers on Out-of-Distribution Datasets

16 June 2020

Papers citing "Calibrating Deep Neural Network Classifiers on Out-of-Distribution Datasets"

4 / 4 papers shown

Title
Gradient-free variational learning with conditional mixture networks Conor Heins Hao Wu Dimitrije Marković Alexander Tschantz Jeff Beck Christopher L. Buckley BDL 22 2 0 29 Aug 2024
Graceful Degradation and Related Fields J. Dymond 13 4 0 21 Jun 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,652 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,109 0 06 Jun 2015