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Deep Haar Scattering Networks

Deep Haar Scattering Networks

30 September 2015
Xiuyuan Cheng
Xu Chen
S. Mallat
ArXiv (abs)PDFHTML

Papers citing "Deep Haar Scattering Networks"

17 / 17 papers shown
Title
Understanding Deep Convolutional Networks
Understanding Deep Convolutional Networks
S. Mallat
FAttAI4CE
175
639
0
19 Jan 2016
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
326
18,625
0
06 Feb 2015
Deep Roto-Translation Scattering for Object Classification
Deep Roto-Translation Scattering for Object Classification
Edouard Oyallon
S. Mallat
80
232
0
30 Dec 2014
Deeply-Supervised Nets
Deeply-Supervised Nets
Chen-Yu Lee
Saining Xie
Patrick W. Gallagher
Zhengyou Zhang
Zhuowen Tu
346
2,240
0
18 Sep 2014
Fastfood: Approximate Kernel Expansions in Loglinear Time
Fastfood: Approximate Kernel Expansions in Loglinear Time
Quoc V. Le
Tamás Sarlós
Alex Smola
95
442
0
13 Aug 2014
Unsupervised Deep Haar Scattering on Graphs
Unsupervised Deep Haar Scattering on Graphs
Xu Chen
Xiuyuan Cheng
S. Mallat
67
52
0
09 Jun 2014
OverFeat: Integrated Recognition, Localization and Detection using
  Convolutional Networks
OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks
P. Sermanet
David Eigen
Xiang Zhang
Michaël Mathieu
Rob Fergus
Yann LeCun
ObjD
153
5,007
0
21 Dec 2013
Spectral Networks and Locally Connected Networks on Graphs
Spectral Networks and Locally Connected Networks on Graphs
Joan Bruna
Wojciech Zaremba
Arthur Szlam
Yann LeCun
GNN
223
4,882
0
21 Dec 2013
Provable Bounds for Learning Some Deep Representations
Provable Bounds for Learning Some Deep Representations
Sanjeev Arora
Aditya Bhaskara
Rong Ge
Tengyu Ma
BDL
97
335
0
23 Oct 2013
Deep Learning by Scattering
Deep Learning by Scattering
S. Mallat
Irène Waldspurger
61
14
0
24 Jun 2013
Deep Generative Stochastic Networks Trainable by Backprop
Deep Generative Stochastic Networks Trainable by Backprop
Yoshua Bengio
Eric Thibodeau-Laufer
Guillaume Alain
J. Yosinski
BDL
131
396
0
05 Jun 2013
Maxout Networks
Maxout Networks
Ian Goodfellow
David Warde-Farley
M. Berk Mirza
Aaron Courville
Yoshua Bengio
OOD
243
2,178
0
18 Feb 2013
The Emerging Field of Signal Processing on Graphs: Extending
  High-Dimensional Data Analysis to Networks and Other Irregular Domains
The Emerging Field of Signal Processing on Graphs: Extending High-Dimensional Data Analysis to Networks and Other Irregular Domains
D. Shuman
S. K. Narang
P. Frossard
Antonio Ortega
P. Vandergheynst
133
3,974
0
31 Oct 2012
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
453
7,663
0
03 Jul 2012
Representation Learning: A Review and New Perspectives
Representation Learning: A Review and New Perspectives
Yoshua Bengio
Aaron Courville
Pascal Vincent
OODSSL
269
12,439
0
24 Jun 2012
Invariant Scattering Convolution Networks
Invariant Scattering Convolution Networks
Joan Bruna
S. Mallat
125
1,278
0
05 Mar 2012
Group Invariant Scattering
Group Invariant Scattering
S. Mallat
123
991
0
12 Jan 2011
1