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Striving for Simplicity: The All Convolutional Net
v1v2v3 (latest)

Striving for Simplicity: The All Convolutional Net

21 December 2014
Jost Tobias Springenberg
Alexey Dosovitskiy
Thomas Brox
Martin Riedmiller
    FAtt
ArXiv (abs)PDFHTML

Papers citing "Striving for Simplicity: The All Convolutional Net"

16 / 1,866 papers shown
Title
Unsupervised and Semi-supervised Learning with Categorical Generative
  Adversarial Networks
Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks
Jost Tobias Springenberg
GAN
89
746
0
19 Nov 2015
Why M Heads are Better than One: Training a Diverse Ensemble of Deep
  Networks
Why M Heads are Better than One: Training a Diverse Ensemble of Deep Networks
Stefan Lee
Senthil Purushwalkam
Michael Cogswell
David J. Crandall
Dhruv Batra
FedMLUQCV
112
316
0
19 Nov 2015
Classifying and Segmenting Microscopy Images Using Convolutional
  Multiple Instance Learning
Classifying and Segmenting Microscopy Images Using Convolutional Multiple Instance Learning
Oren Z. Kraus
Lei Jimmy Ba
B. Frey
212
392
0
17 Nov 2015
Do Deep Neural Networks Learn Facial Action Units When Doing Expression
  Recognition?
Do Deep Neural Networks Learn Facial Action Units When Doing Expression Recognition?
Pooya Khorrami
T. Paine
Thomas S. Huang
CVBM
103
267
0
10 Oct 2015
Deep Convolutional Neural Networks for Smile Recognition
Deep Convolutional Neural Networks for Smile Recognition
P. Glauner
CVBM
59
38
0
26 Aug 2015
What is Holding Back Convnets for Detection?
What is Holding Back Convnets for Detection?
Bojan Pepik
Rodrigo Benenson
Tobias Ritschel
Bernt Schiele
ObjD
93
65
0
12 Aug 2015
Training Very Deep Networks
Training Very Deep Networks
R. Srivastava
Klaus Greff
Jürgen Schmidhuber
169
1,687
0
22 Jul 2015
Semi-Supervised Learning with Ladder Networks
Semi-Supervised Learning with Ladder Networks
Antti Rasmus
Harri Valpola
Mikko Honkala
Mathias Berglund
T. Raiko
SSL
113
1,373
0
09 Jul 2015
Describing Multimedia Content using Attention-based Encoder--Decoder
  Networks
Describing Multimedia Content using Attention-based Encoder--Decoder Networks
Kyunghyun Cho
Aaron Courville
Yoshua Bengio
95
413
0
04 Jul 2015
Exploring the influence of scale on artist attribution
Exploring the influence of scale on artist attribution
Nanne van Noord
E. Postma
20
0
0
19 Jun 2015
Deep SimNets
Deep SimNets
Nadav Cohen
Or Sharir
Amnon Shashua
87
46
0
09 Jun 2015
Inverting Visual Representations with Convolutional Networks
Inverting Visual Representations with Convolutional Networks
Alexey Dosovitskiy
Thomas Brox
SSLFAtt
114
668
0
09 Jun 2015
Stacked What-Where Auto-encoders
Stacked What-Where Auto-encoders
Jiaqi Zhao
Michaël Mathieu
Ross Goroshin
Yann LeCun
DiffMBDL
152
258
0
08 Jun 2015
ReNet: A Recurrent Neural Network Based Alternative to Convolutional
  Networks
ReNet: A Recurrent Neural Network Based Alternative to Convolutional Networks
Francesco Visin
Kyle Kastner
Kyunghyun Cho
Matteo Matteucci
Aaron Courville
Yoshua Bengio
SSeg
81
271
0
03 May 2015
Scalable Bayesian Optimization Using Deep Neural Networks
Scalable Bayesian Optimization Using Deep Neural Networks
Jasper Snoek
Oren Rippel
Kevin Swersky
Ryan Kiros
N. Satish
N. Sundaram
Md. Mostofa Ali Patwary
P. Prabhat
Ryan P. Adams
BDLUQCV
106
1,045
0
19 Feb 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
533
43,394
0
11 Feb 2015
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