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Convolutional networks and learning invariant to homogeneous
  multiplicative scalings
v1v2v3v4 (latest)

Convolutional networks and learning invariant to homogeneous multiplicative scalings

26 June 2015
M. Tygert
Arthur Szlam
Soumith Chintala
MarcÁurelio Ranzato
Yuandong Tian
Wojciech Zaremba
ArXiv (abs)PDFHTML

Papers citing "Convolutional networks and learning invariant to homogeneous multiplicative scalings"

5 / 5 papers shown
Title
Learning Multimodal Representations for Unseen Activities
Learning Multimodal Representations for Unseen Activities
A. Piergiovanni
Michael S. Ryoo
SSL
39
4
0
21 Jun 2018
WNGrad: Learn the Learning Rate in Gradient Descent
WNGrad: Learn the Learning Rate in Gradient Descent
Xiaoxia Wu
Rachel A. Ward
Léon Bottou
63
87
0
07 Mar 2018
Learning Deep ResNet Blocks Sequentially using Boosting Theory
Learning Deep ResNet Blocks Sequentially using Boosting Theory
Furong Huang
Jordan T. Ash
John Langford
Robert Schapire
92
111
0
15 Jun 2017
Deep Complex Networks
Deep Complex Networks
C. Trabelsi
O. Bilaniuk
Ying Zhang
Dmitriy Serdyuk
Sandeep Subramanian
J. F. Santos
Soroush Mehri
Negar Rostamzadeh
Yoshua Bengio
C. Pal
244
837
0
27 May 2017
A mathematical motivation for complex-valued convolutional networks
A mathematical motivation for complex-valued convolutional networks
Joan Bruna
Soumith Chintala
Yann LeCun
Serkan Piantino
Arthur Szlam
M. Tygert
130
104
0
11 Mar 2015
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