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Pooling is neither necessary nor sufficient for appropriate deformation
  stability in CNNs

Pooling is neither necessary nor sufficient for appropriate deformation stability in CNNs

12 April 2018
Avraham Ruderman
Neil C. Rabinowitz
Ari S. Morcos
Daniel Zoran
ArXivPDFHTML

Papers citing "Pooling is neither necessary nor sufficient for appropriate deformation stability in CNNs"

15 / 15 papers shown
Title
On the importance of single directions for generalization
On the importance of single directions for generalization
Ari S. Morcos
David Barrett
Neil C. Rabinowitz
M. Botvinick
46
331
0
19 Mar 2018
Geometric robustness of deep networks: analysis and improvement
Geometric robustness of deep networks: analysis and improvement
Can Kanbak
Seyed-Mohsen Moosavi-Dezfooli
P. Frossard
OOD
AAML
75
130
0
24 Nov 2017
Group Invariance, Stability to Deformations, and Complexity of Deep
  Convolutional Representations
Group Invariance, Stability to Deformations, and Complexity of Deep Convolutional Representations
A. Bietti
Julien Mairal
28
8
0
09 Jun 2017
Understanding deep learning requires rethinking generalization
Understanding deep learning requires rethinking generalization
Chiyuan Zhang
Samy Bengio
Moritz Hardt
Benjamin Recht
Oriol Vinyals
HAI
262
4,612
0
10 Nov 2016
Understanding data augmentation for classification: when to warp?
Understanding data augmentation for classification: when to warp?
S. Wong
Adam Gatt
V. Stamatescu
Mark D Mcdonnell
62
904
0
28 Sep 2016
Understanding Deep Convolutional Networks
Understanding Deep Convolutional Networks
S. Mallat
FAtt
AI4CE
95
639
0
19 Jan 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.3K
192,638
0
10 Dec 2015
Manitest: Are classifiers really invariant?
Manitest: Are classifiers really invariant?
Alhussein Fawzi
P. Frossard
38
118
0
23 Jul 2015
Striving for Simplicity: The All Convolutional Net
Striving for Simplicity: The All Convolutional Net
Jost Tobias Springenberg
Alexey Dosovitskiy
Thomas Brox
Martin Riedmiller
FAtt
174
4,653
0
21 Dec 2014
Understanding image representations by measuring their equivariance and
  equivalence
Understanding image representations by measuring their equivariance and equivalence
Karel Lenc
Andrea Vedaldi
SSL
FAtt
68
528
0
21 Nov 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
891
99,991
0
04 Sep 2014
Fast Image Scanning with Deep Max-Pooling Convolutional Neural Networks
Fast Image Scanning with Deep Max-Pooling Convolutional Neural Networks
Alessandro Giusti
D. Ciresan
Jonathan Masci
L. Gambardella
Jürgen Schmidhuber
158
348
0
07 Feb 2013
Invariant Scattering Convolution Networks
Invariant Scattering Convolution Networks
Joan Bruna
S. Mallat
73
1,272
0
05 Mar 2012
Group Invariant Scattering
Group Invariant Scattering
S. Mallat
88
986
0
12 Jan 2011
Deep Big Simple Neural Nets Excel on Handwritten Digit Recognition
Deep Big Simple Neural Nets Excel on Handwritten Digit Recognition
D. Ciresan
U. Meier
L. Gambardella
Jürgen Schmidhuber
72
993
0
01 Mar 2010
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