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Low-Rank Approximations for Conditional Feedforward Computation in Deep
  Neural Networks

Low-Rank Approximations for Conditional Feedforward Computation in Deep Neural Networks

16 December 2013
Andrew S. Davis
I. Arel
ArXivPDFHTML

Papers citing "Low-Rank Approximations for Conditional Feedforward Computation in Deep Neural Networks"

5 / 5 papers shown
Title
Low-Rank Interconnected Adaptation across Layers
Low-Rank Interconnected Adaptation across Layers
Yibo Zhong
Jinman Zhao
Yao Zhou
OffRL
MoE
78
1
0
13 Jul 2024
Outrageously Large Neural Networks: The Sparsely-Gated
  Mixture-of-Experts Layer
Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer
Noam M. Shazeer
Azalia Mirhoseini
Krzysztof Maziarz
Andy Davis
Quoc V. Le
Geoffrey E. Hinton
J. Dean
MoE
160
2,614
0
23 Jan 2017
Deep Learning of Representations: Looking Forward
Deep Learning of Representations: Looking Forward
Yoshua Bengio
150
679
0
02 May 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
385
7,650
0
03 Jul 2012
Building high-level features using large scale unsupervised learning
Building high-level features using large scale unsupervised learning
Quoc V. Le
MarcÁurelio Ranzato
R. Monga
M. Devin
Kai Chen
G. Corrado
J. Dean
A. Ng
SSL
OffRL
CVBM
101
2,268
0
29 Dec 2011
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