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Implicit Weight Uncertainty in Neural Networks

Implicit Weight Uncertainty in Neural Networks

3 November 2017
Nick Pawlowski
Andrew Brock
Matthew C. H. Lee
Martin Rajchl
Ben Glocker
    BDL
    UQCV
ArXivPDFHTML

Papers citing "Implicit Weight Uncertainty in Neural Networks"

14 / 14 papers shown
Title
Bayesian Hypernetworks
Bayesian Hypernetworks
David M. Krueger
Chin-Wei Huang
Riashat Islam
Ryan Turner
Alexandre Lacoste
Aaron Courville
UQCV
BDL
59
139
0
13 Oct 2017
SMASH: One-Shot Model Architecture Search through HyperNetworks
SMASH: One-Shot Model Architecture Search through HyperNetworks
Andrew Brock
Theodore Lim
J. Ritchie
Nick Weston
137
763
0
17 Aug 2017
On Calibration of Modern Neural Networks
On Calibration of Modern Neural Networks
Chuan Guo
Geoff Pleiss
Yu Sun
Kilian Q. Weinberger
UQCV
264
5,812
0
14 Jun 2017
Multiplicative Normalizing Flows for Variational Bayesian Neural
  Networks
Multiplicative Normalizing Flows for Variational Bayesian Neural Networks
Christos Louizos
Max Welling
BDL
144
459
0
06 Mar 2017
Hierarchical Implicit Models and Likelihood-Free Variational Inference
Hierarchical Implicit Models and Likelihood-Free Variational Inference
Dustin Tran
Rajesh Ranganath
David M. Blei
VLM
GAN
81
101
0
28 Feb 2017
Variational Inference using Implicit Distributions
Variational Inference using Implicit Distributions
Ferenc Huszár
DRL
GAN
146
135
0
27 Feb 2017
Adversarial Variational Bayes: Unifying Variational Autoencoders and
  Generative Adversarial Networks
Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks
L. Mescheder
Sebastian Nowozin
Andreas Geiger
GAN
BDL
110
529
0
17 Jan 2017
HyperNetworks
HyperNetworks
David R Ha
Andrew M. Dai
Quoc V. Le
128
1,622
0
27 Sep 2016
Weight Normalization: A Simple Reparameterization to Accelerate Training
  of Deep Neural Networks
Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks
Tim Salimans
Diederik P. Kingma
ODL
180
1,940
0
25 Feb 2016
Bayesian Convolutional Neural Networks with Bernoulli Approximate
  Variational Inference
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference
Y. Gal
Zoubin Ghahramani
UQCV
BDL
252
748
0
06 Jun 2015
Weight Uncertainty in Neural Networks
Weight Uncertainty in Neural Networks
Charles Blundell
Julien Cornebise
Koray Kavukcuoglu
Daan Wierstra
UQCV
BDL
173
1,886
0
20 May 2015
Probabilistic Backpropagation for Scalable Learning of Bayesian Neural
  Networks
Probabilistic Backpropagation for Scalable Learning of Bayesian Neural Networks
José Miguel Hernández-Lobato
Ryan P. Adams
UQCV
BDL
110
944
0
18 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.5K
149,842
0
22 Dec 2014
Conditional Generative Adversarial Nets
Conditional Generative Adversarial Nets
M. Berk Mirza
Simon Osindero
GAN
SyDa
AI4CE
246
10,394
0
06 Nov 2014
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