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Variational Dropout via Empirical Bayes
v1v2 (latest)

Variational Dropout via Empirical Bayes

1 November 2018
V. Kharitonov
Dmitry Molchanov
Dmitry Vetrov
    BDL
ArXiv (abs)PDFHTML

Papers citing "Variational Dropout via Empirical Bayes"

7 / 7 papers shown
Title
A Principled Bayesian Framework for Training Binary and Spiking Neural Networks
James A. Walker
M. Khajehnejad
Adeel Razi
BDL
147
0
0
23 May 2025
Variational Bayesian dropout: pitfalls and fixes
Variational Bayesian dropout: pitfalls and fixes
Jiri Hron
A. G. Matthews
Zoubin Ghahramani
BDL
104
67
0
05 Jul 2018
Bayesian Compression for Deep Learning
Bayesian Compression for Deep Learning
Christos Louizos
Karen Ullrich
Max Welling
UQCVBDL
205
481
0
24 May 2017
Soft Weight-Sharing for Neural Network Compression
Soft Weight-Sharing for Neural Network Compression
Karen Ullrich
Edward Meeds
Max Welling
172
420
0
13 Feb 2017
Variational Dropout Sparsifies Deep Neural Networks
Variational Dropout Sparsifies Deep Neural Networks
Dmitry Molchanov
Arsenii Ashukha
Dmitry Vetrov
BDL
185
831
0
19 Jan 2017
Variational Dropout and the Local Reparameterization Trick
Variational Dropout and the Local Reparameterization Trick
Diederik P. Kingma
Tim Salimans
Max Welling
BDL
233
1,519
0
08 Jun 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCVBDL
911
9,367
0
06 Jun 2015
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