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

Striving for Simplicity: The All Convolutional Net

International Conference on Learning Representations (ICLR), 2014
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"

50 / 1,915 papers shown
Every Filter Extracts A Specific Texture In Convolutional Neural
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Every Filter Extracts A Specific Texture In Convolutional Neural Networks
Zhiqiang Xia
Ce Zhu
Z. Wang
Qi Guo
Yipeng Liu
FAtt
141
2
0
15 Aug 2016
Residual Networks of Residual Networks: Multilevel Residual Networks
Residual Networks of Residual Networks: Multilevel Residual Networks
Ke Zhang
Miao Sun
T. Han
Xingfang Yuan
Liru Guo
Tao Liu
318
348
0
09 Aug 2016
Early Methods for Detecting Adversarial Images
Early Methods for Detecting Adversarial Images
Dan Hendrycks
Kevin Gimpel
AAML
239
246
0
01 Aug 2016
Top-down Neural Attention by Excitation Backprop
Top-down Neural Attention by Excitation Backprop
Jianming Zhang
Zhe Lin
Jonathan Brandt
Xiaohui Shen
Stan Sclaroff
333
992
0
01 Aug 2016
Convolutional Neural Networks Analyzed via Convolutional Sparse Coding
Convolutional Neural Networks Analyzed via Convolutional Sparse Coding
Vardan Papyan
Yaniv Romano
Michael Elad
378
298
0
27 Jul 2016
From Dependence to Causation
From Dependence to Causation
David Lopez-Paz
OODCML
330
28
0
12 Jul 2016
Adversarial Training For Sketch Retrieval
Adversarial Training For Sketch Retrieval
Antonia Creswell
Anil Anthony Bharath
GAN
208
47
0
10 Jul 2016
Steering a Predator Robot using a Mixed Frame/Event-Driven Convolutional
  Neural Network
Steering a Predator Robot using a Mixed Frame/Event-Driven Convolutional Neural NetworkInternational Conference on Event-Based Control, Communication, and Signal Processing (ICECCSP), 2016
Diederik Paul Moeys
Federico Corradi
E. Kerr
P. Vance
Gautham P. Das
Daniel Neil
D. Kerr
T. Delbruck
158
125
0
30 Jun 2016
A Taxonomy and Library for Visualizing Learned Features in Convolutional
  Neural Networks
A Taxonomy and Library for Visualizing Learned Features in Convolutional Neural Networks
Felix Grün
Christian Rupprecht
Nassir Navab
Federico Tombari
SSLFAtt
155
78
0
24 Jun 2016
Tagger: Deep Unsupervised Perceptual Grouping
Tagger: Deep Unsupervised Perceptual Grouping
Klaus Greff
Antti Rasmus
Mathias Berglund
T. Hao
Jürgen Schmidhuber
Harri Valpola
OCL
298
165
0
21 Jun 2016
Learning Convolutional Neural Networks using Hybrid Orthogonal
  Projection and Estimation
Learning Convolutional Neural Networks using Hybrid Orthogonal Projection and Estimation
H. Pan
Hui Jiang
3DV
233
13
0
20 Jun 2016
Convolutional Residual Memory Networks
Convolutional Residual Memory Networks
Joel Ruben Antony Moniz
C. Pal
190
23
0
16 Jun 2016
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image
  Segmentation
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation
Fausto Milletari
Nassir Navab
Seyed-Ahmad Ahmadi
581
9,968
0
15 Jun 2016
Human Attention in Visual Question Answering: Do Humans and Deep
  Networks Look at the Same Regions?
Human Attention in Visual Question Answering: Do Humans and Deep Networks Look at the Same Regions?
Abhishek Das
Harsh Agrawal
C. L. Zitnick
Devi Parikh
Dhruv Batra
257
478
0
11 Jun 2016
Convolutional Neural Fabrics
Convolutional Neural FabricsNeural Information Processing Systems (NeurIPS), 2016
Shreyas Saxena
Jakob Verbeek
301
232
0
08 Jun 2016
Systematic evaluation of CNN advances on the ImageNet
Systematic evaluation of CNN advances on the ImageNet
Dmytro Mishkin
N. Sergievskiy
Jirí Matas
FAtt
135
123
0
07 Jun 2016
Improving Deep Neural Network with Multiple Parametric Exponential
  Linear Units
Improving Deep Neural Network with Multiple Parametric Exponential Linear Units
Yang Li
Chunxiao Fan
Yong Li
Qiong Wu
Yue Ming
193
86
0
01 Jun 2016
Parametric Exponential Linear Unit for Deep Convolutional Neural
  Networks
Parametric Exponential Linear Unit for Deep Convolutional Neural Networks
Ludovic Trottier
Philippe Giguère
B. Chaib-draa
184
216
0
30 May 2016
Robust Large Margin Deep Neural Networks
Robust Large Margin Deep Neural Networks
Jure Sokolić
Raja Giryes
Guillermo Sapiro
M. Rodrigues
386
323
0
26 May 2016
Deeply-Fused Nets
Deeply-Fused Nets
Jingdong Wang
Zhen Wei
Ting Zhang
Wenjun Zeng
FedML
250
100
0
25 May 2016
FractalNet: Ultra-Deep Neural Networks without Residuals
FractalNet: Ultra-Deep Neural Networks without Residuals
Gustav Larsson
Michael Maire
Gregory Shakhnarovich
573
1,013
0
24 May 2016
Genetic Architect: Discovering Genomic Structure with Learned Neural
  Architectures
Genetic Architect: Discovering Genomic Structure with Learned Neural Architectures
Laura Deming
S. Targ
Nate Sauder
Diogo Almeida
Chun Jimmie Ye
GNN
108
14
0
23 May 2016
Neural Autoregressive Distribution Estimation
Neural Autoregressive Distribution Estimation
Benigno Uria
Marc-Alexandre Côté
Karol Gregor
Iain Murray
Hugo Larochelle
375
335
0
07 May 2016
Not Just a Black Box: Learning Important Features Through Propagating
  Activation Differences
Not Just a Black Box: Learning Important Features Through Propagating Activation Differences
Avanti Shrikumar
Peyton Greenside
A. Shcherbina
A. Kundaje
FAtt
387
847
0
05 May 2016
Application of Deep Convolutional Neural Networks for Detecting Extreme
  Weather in Climate Datasets
Application of Deep Convolutional Neural Networks for Detecting Extreme Weather in Climate Datasets
Yunjie Liu
Evan Racah
P. Prabhat
Joaquin Correa
A. Khosrowshahi
D. Lavers
K. Kunkel
M. Wehner
W. Collins
AI4Cl
168
375
0
04 May 2016
Precomputed Real-Time Texture Synthesis with Markovian Generative
  Adversarial Networks
Precomputed Real-Time Texture Synthesis with Markovian Generative Adversarial Networks
Chuan Li
Michael Wand
GAN
331
1,501
0
15 Apr 2016
Deep Residual Networks with Exponential Linear Unit
Deep Residual Networks with Exponential Linear Unit
Anish Shah
Eashan Kadam
Hena Shah
Sameer Shinde
Sandip Shingade
219
128
0
14 Apr 2016
Deep Networks with Stochastic Depth
Deep Networks with Stochastic Depth
Gao Huang
Yu Sun
Zhuang Liu
Daniel Sedra
Kilian Q. Weinberger
568
2,550
0
30 Mar 2016
Convolutional Networks for Fast, Energy-Efficient Neuromorphic Computing
Convolutional Networks for Fast, Energy-Efficient Neuromorphic Computing
S. K. Esser
P. Merolla
John V. Arthur
A. Cassidy
R. Appuswamy
...
Pallab Datta
A. Amir
B. Taba
M. Flickner
D. Modha
3DH
242
741
0
28 Mar 2016
Resnet in Resnet: Generalizing Residual Architectures
Resnet in Resnet: Generalizing Residual Architectures
S. Targ
Diogo Almeida
Kevin Lyman
SSeg
198
981
0
25 Mar 2016
Convolution in Convolution for Network in Network
Convolution in Convolution for Network in Network
Yanwei Pang
Manli Sun
Xiaoheng Jiang
Xuelong Li
216
180
0
22 Mar 2016
Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain
  Lesion Segmentation
Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain Lesion Segmentation
Konstantinos Kamnitsas
C. Ledig
Virginia Newcombe
Joanna P. Simpson
A. D. Kane
David Menon
Daniel Rueckert
Ben Glocker
MedIm3DV
379
3,194
0
18 Mar 2016
Understanding and Improving Convolutional Neural Networks via
  Concatenated Rectified Linear Units
Understanding and Improving Convolutional Neural Networks via Concatenated Rectified Linear Units
Wenling Shang
Kihyuk Sohn
Diogo Almeida
Honglak Lee
229
519
0
16 Mar 2016
Identity Mappings in Deep Residual Networks
Identity Mappings in Deep Residual Networks
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
1.2K
10,870
0
16 Mar 2016
Cascaded Subpatch Networks for Effective CNNs
Cascaded Subpatch Networks for Effective CNNs
Xiaoheng Jiang
Yanwei Pang
Manli Sun
Xuelong Li
211
40
0
01 Mar 2016
Weight Normalization: A Simple Reparameterization to Accelerate Training
  of Deep Neural Networks
Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks
Tim Salimans
Diederik P. Kingma
ODL
561
2,044
0
25 Feb 2016
Group Equivariant Convolutional Networks
Group Equivariant Convolutional Networks
Taco S. Cohen
Max Welling
BDL
858
2,166
0
24 Feb 2016
Generating images with recurrent adversarial networks
Generating images with recurrent adversarial networks
Daniel Jiwoong Im
C. Kim
Hui Jiang
Roland Memisevic
GAN
296
227
0
16 Feb 2016
Learning scale-variant and scale-invariant features for deep image
  classification
Learning scale-variant and scale-invariant features for deep image classification
Nanne van Noord
E. Postma
SSL
310
163
0
03 Feb 2016
Recent Advances in Convolutional Neural Networks
Recent Advances in Convolutional Neural Networks
Jiuxiang Gu
Zhenhua Wang
Jason Kuen
Lianyang Ma
Amir Shahroudy
...
Xingxing Wang
Li Wang
Gang Wang
Jianfei Cai
Tsuhan Chen
704
5,704
0
22 Dec 2015
Blockout: Dynamic Model Selection for Hierarchical Deep Networks
Blockout: Dynamic Model Selection for Hierarchical Deep Networks
Calvin Murdock
Zerui Li
Howard Zhou
Tom Duerig
OODBDL
155
51
0
16 Dec 2015
Design of Kernels in Convolutional Neural Networks for Image
  Classification
Design of Kernels in Convolutional Neural Networks for Image Classification
Zhun Sun
Mete Ozay
Takayuki Okatani
220
23
0
30 Nov 2015
Multiagent Cooperation and Competition with Deep Reinforcement Learning
Multiagent Cooperation and Competition with Deep Reinforcement Learning
Ardi Tampuu
Tambet Matiisen
Dorian Kodelja
Ilya Kuzovkin
Kristjan Korjus
Juhan Aru
Jaan Aru
Raul Vicente
324
943
0
27 Nov 2015
Fast and Accurate Deep Network Learning by Exponential Linear Units
  (ELUs)
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)
Djork-Arné Clevert
Thomas Unterthiner
Sepp Hochreiter
659
5,901
0
23 Nov 2015
Scalable Gradient-Based Tuning of Continuous Regularization
  Hyperparameters
Scalable Gradient-Based Tuning of Continuous Regularization Hyperparameters
Jelena Luketina
Mathias Berglund
Klaus Greff
T. Raiko
215
180
0
20 Nov 2015
On the energy landscape of deep networks
On the energy landscape of deep networks
Pratik Chaudhari
Stefano Soatto
ODL
321
27
0
20 Nov 2015
Learning to decompose for object detection and instance segmentation
Learning to decompose for object detection and instance segmentation
Eunbyung Park
Alexander C. Berg
234
25
0
19 Nov 2015
Unsupervised Representation Learning with Deep Convolutional Generative
  Adversarial Networks
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
Alec Radford
Luke Metz
Soumith Chintala
GANOOD
674
14,812
0
19 Nov 2015
All you need is a good init
All you need is a good init
Dmytro Mishkin
Jirí Matas
ODL
842
637
0
19 Nov 2015
Unsupervised and Semi-supervised Learning with Categorical Generative
  Adversarial Networks
Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks
Jost Tobias Springenberg
GAN
214
769
0
19 Nov 2015
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