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Compact Neural Networks based on the Multiscale Entanglement
  Renormalization Ansatz

Compact Neural Networks based on the Multiscale Entanglement Renormalization Ansatz

9 November 2017
A. Hallam
Edward Grant
V. Stojevic
Simone Severini
A. Green
ArXivPDFHTML

Papers citing "Compact Neural Networks based on the Multiscale Entanglement Renormalization Ansatz"

12 / 12 papers shown
Title
Machine Learning by Unitary Tensor Network of Hierarchical Tree
  Structure
Machine Learning by Unitary Tensor Network of Hierarchical Tree Structure
Ding Liu
Shi-Ju Ran
P. Wittek
C. Peng
R. García
G. Su
M. Lewenstein
31
131
0
13 Oct 2017
Deep Learning and Quantum Entanglement: Fundamental Connections with
  Implications to Network Design
Deep Learning and Quantum Entanglement: Fundamental Connections with Implications to Network Design
Yoav Levine
David Yakira
Nadav Cohen
Amnon Shashua
97
126
0
05 Apr 2017
Ultimate tensorization: compressing convolutional and FC layers alike
Ultimate tensorization: compressing convolutional and FC layers alike
T. Garipov
D. Podoprikhin
Alexander Novikov
Dmitry Vetrov
54
190
0
10 Nov 2016
Why does deep and cheap learning work so well?
Why does deep and cheap learning work so well?
Henry W. Lin
Max Tegmark
David Rolnick
60
607
0
29 Aug 2016
Supervised Learning with Quantum-Inspired Tensor Networks
Supervised Learning with Quantum-Inspired Tensor Networks
E. Stoudenmire
D. Schwab
SSL
52
164
0
18 May 2016
Tensorizing Neural Networks
Tensorizing Neural Networks
Alexander Novikov
D. Podoprikhin
A. Osokin
Dmitry Vetrov
76
879
0
22 Sep 2015
Distilling the Knowledge in a Neural Network
Distilling the Knowledge in a Neural Network
Geoffrey E. Hinton
Oriol Vinyals
J. Dean
FedML
253
19,523
0
09 Mar 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
361
43,154
0
11 Feb 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on
  ImageNet Classification
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
VLM
210
18,534
0
06 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
979
149,474
0
22 Dec 2014
An exact mapping between the Variational Renormalization Group and Deep
  Learning
An exact mapping between the Variational Renormalization Group and Deep Learning
Pankaj Mehta
D. Schwab
AI4CE
63
309
0
14 Oct 2014
Exact solutions to the nonlinear dynamics of learning in deep linear
  neural networks
Exact solutions to the nonlinear dynamics of learning in deep linear neural networks
Andrew M. Saxe
James L. McClelland
Surya Ganguli
ODL
132
1,830
0
20 Dec 2013
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