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Einconv: Exploring Unexplored Tensor Network Decompositions for
  Convolutional Neural Networks

Einconv: Exploring Unexplored Tensor Network Decompositions for Convolutional Neural Networks

13 August 2019
K. Hayashi
Taiki Yamaguchi
Yohei Sugawara
S. Maeda
ArXivPDFHTML

Papers citing "Einconv: Exploring Unexplored Tensor Network Decompositions for Convolutional Neural Networks"

6 / 6 papers shown
Title
Efficient Neural Architecture Search via Parameter Sharing
Efficient Neural Architecture Search via Parameter Sharing
Hieu H. Pham
M. Guan
Barret Zoph
Quoc V. Le
J. Dean
78
2,761
0
09 Feb 2018
Wider and Deeper, Cheaper and Faster: Tensorized LSTMs for Sequence
  Learning
Wider and Deeper, Cheaper and Faster: Tensorized LSTMs for Sequence Learning
Zhen He
Shaobing Gao
Liang Xiao
Daxue Liu
Hangen He
David Barber
AIMat
56
64
0
05 Nov 2017
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning
  Algorithms
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
Han Xiao
Kashif Rasul
Roland Vollgraf
173
8,807
0
25 Aug 2017
Learning Transferable Architectures for Scalable Image Recognition
Learning Transferable Architectures for Scalable Image Recognition
Barret Zoph
Vijay Vasudevan
Jonathon Shlens
Quoc V. Le
146
5,577
0
21 Jul 2017
Tensorizing Neural Networks
Tensorizing Neural Networks
Alexander Novikov
D. Podoprikhin
A. Osokin
Dmitry Vetrov
74
879
0
22 Sep 2015
Exploiting Linear Structure Within Convolutional Networks for Efficient
  Evaluation
Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation
Emily L. Denton
Wojciech Zaremba
Joan Bruna
Yann LeCun
Rob Fergus
FAtt
127
1,682
0
02 Apr 2014
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