Stochastic Normalizations as Bayesian Learning

1 November 2018

Papers citing "Stochastic Normalizations as Bayesian Learning"

11 / 11 papers shown

Title
Lightweight Probabilistic Deep Networks Jochen Gast Stefan Roth UQCV OOD BDL 79 181 0 29 May 2018
Normalization of Neural Networks using Analytic Variance Propagation Alexander Shekhovtsov B. Flach 37 6 0 28 Mar 2018
Understanding the Disharmony between Dropout and Batch Normalization by Variance Shift Xiang Li Shuo Chen Xiaolin Hu Jian Yang 72 309 0 16 Jan 2018
Wide Residual Networks Sergey Zagoruyko N. Komodakis 340 7,985 0 23 May 2016
A Theoretically Grounded Application of Dropout in Recurrent Neural Networks Y. Gal Zoubin Ghahramani UQCV DRL BDL 187 1,650 0 16 Dec 2015
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs) Djork-Arné Clevert Thomas Unterthiner Sepp Hochreiter 300 5,524 0 23 Nov 2015
Gradient Estimation Using Stochastic Computation Graphs John Schulman N. Heess T. Weber Pieter Abbeel OffRL 136 393 0 17 Jun 2015
Variational Dropout and the Local Reparameterization Trick Diederik P. Kingma Tim Salimans Max Welling BDL 226 1,514 0 08 Jun 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 821 9,318 0 06 Jun 2015
Weight Uncertainty in Neural Networks Charles Blundell Julien Cornebise Koray Kavukcuoglu Daan Wierstra UQCV BDL 187 1,887 0 20 May 2015
Striving for Simplicity: The All Convolutional Net Jost Tobias Springenberg Alexey Dosovitskiy Thomas Brox Martin Riedmiller FAtt 248 4,672 0 21 Dec 2014