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Analyzing noise in autoencoders and deep networks

Analyzing noise in autoencoders and deep networks

6 June 2014
Ben Poole
Jascha Narain Sohl-Dickstein
Surya Ganguli
ArXivPDFHTML

Papers citing "Analyzing noise in autoencoders and deep networks"

6 / 6 papers shown
Title
Deep Learning of Representations: Looking Forward
Deep Learning of Representations: Looking Forward
Yoshua Bengio
211
682
0
02 May 2013
Stochastic Pooling for Regularization of Deep Convolutional Neural
  Networks
Stochastic Pooling for Regularization of Deep Convolutional Neural Networks
Matthew D. Zeiler
Rob Fergus
180
989
0
16 Jan 2013
Boltzmann Machines and Denoising Autoencoders for Image Denoising
Boltzmann Machines and Denoising Autoencoders for Image Denoising
Kyunghyun Cho
AI4CE
46
38
0
15 Jan 2013
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
441
7,660
0
03 Jul 2012
Marginalized Denoising Autoencoders for Domain Adaptation
Marginalized Denoising Autoencoders for Domain Adaptation
Minmin Chen
Z. Xu
Kilian Q. Weinberger
Fei Sha
102
817
0
18 Jun 2012
Adding noise to the input of a model trained with a regularized
  objective
Adding noise to the input of a model trained with a regularized objective
Salah Rifai
Xavier Glorot
Yoshua Bengio
Pascal Vincent
NoLa
77
78
0
16 Apr 2011
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