Quantifying Intrinsic Uncertainty in Classification via Deep Dirichlet Mixture Networks

11 June 2019

Papers citing "Quantifying Intrinsic Uncertainty in Classification via Deep Dirichlet Mixture Networks"

3 / 3 papers shown

Title
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
Being Bayesian about Categorical Probability Taejong Joo U. Chung Minji Seo UQCV BDL 30 58 0 19 Feb 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 289 9,167 0 06 Jun 2015