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Highway Networks

Highway Networks

3 May 2015
R. Srivastava
Klaus Greff
Jürgen Schmidhuber
ArXivPDFHTML

Papers citing "Highway Networks"

50 / 304 papers shown
Title
Virtual Adversarial Training: A Regularization Method for Supervised and
  Semi-Supervised Learning
Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning
Takeru Miyato
S. Maeda
Masanori Koyama
S. Ishii
GAN
87
2,720
0
13 Apr 2017
Snapshot Ensembles: Train 1, get M for free
Snapshot Ensembles: Train 1, get M for free
Gao Huang
Yixuan Li
Geoff Pleiss
Zhuang Liu
J. Hopcroft
Kilian Q. Weinberger
OOD
FedML
UQCV
68
935
0
01 Apr 2017
BEGAN: Boundary Equilibrium Generative Adversarial Networks
BEGAN: Boundary Equilibrium Generative Adversarial Networks
David Berthelot
Tom Schumm
Luke Metz
GAN
66
1,151
0
31 Mar 2017
Tacotron: Towards End-to-End Speech Synthesis
Tacotron: Towards End-to-End Speech Synthesis
Yuxuan Wang
RJ Skerry-Ryan
Daisy Stanton
Yonghui Wu
Ron J. Weiss
...
Samy Bengio
Quoc V. Le
Yannis Agiomyrgiannakis
R. Clark
Rif A. Saurous
83
1,805
0
29 Mar 2017
Scaling the Scattering Transform: Deep Hybrid Networks
Scaling the Scattering Transform: Deep Hybrid Networks
Edouard Oyallon
Eugene Belilovsky
Sergey Zagoruyko
28
157
0
27 Mar 2017
Modeling Long- and Short-Term Temporal Patterns with Deep Neural
  Networks
Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks
Guokun Lai
Wei-Cheng Chang
Yiming Yang
Hanxiao Liu
BDL
AI4TS
76
1,956
0
21 Mar 2017
SORT: Second-Order Response Transform for Visual Recognition
SORT: Second-Order Response Transform for Visual Recognition
Yan Wang
Lingxi Xie
Chenxi Liu
Ya Zhang
Wenjun Zhang
Alan Yuille
25
53
0
20 Mar 2017
Autoregressive Convolutional Neural Networks for Asynchronous Time
  Series
Autoregressive Convolutional Neural Networks for Asynchronous Time Series
Mikolaj Binkowski
Gautier Marti
Philippe Donnat
AI4TS
BDL
43
149
0
12 Mar 2017
Massive Exploration of Neural Machine Translation Architectures
Massive Exploration of Neural Machine Translation Architectures
D. Britz
Anna Goldie
Minh-Thang Luong
Quoc V. Le
35
516
0
11 Mar 2017
All You Need is Beyond a Good Init: Exploring Better Solution for
  Training Extremely Deep Convolutional Neural Networks with Orthonormality and
  Modulation
All You Need is Beyond a Good Init: Exploring Better Solution for Training Extremely Deep Convolutional Neural Networks with Orthonormality and Modulation
Di Xie
Jiang Xiong
Shiliang Pu
23
181
0
06 Mar 2017
Large-Scale Evolution of Image Classifiers
Large-Scale Evolution of Image Classifiers
Esteban Real
Sherry Moore
Andrew Selle
Saurabh Saxena
Y. Suematsu
Jie Tan
Quoc V. Le
Alexey Kurakin
63
1,630
0
03 Mar 2017
Supervised Deep Sparse Coding Networks
Supervised Deep Sparse Coding Networks
Xiaoxia Sun
Nasser M. Nasrabadi
T. Tran
BDL
27
15
0
29 Jan 2017
Oriented Response Networks
Oriented Response Networks
Yanzhao Zhou
QiXiang Ye
Qiang Qiu
Jianbin Jiao
27
259
0
07 Jan 2017
Improved Stereo Matching with Constant Highway Networks and Reflective
  Confidence Learning
Improved Stereo Matching with Constant Highway Networks and Reflective Confidence Learning
Amit Shaked
Lior Wolf
3DV
31
198
0
31 Dec 2016
Feedback Networks
Feedback Networks
Amir Zamir
Te-Lin Wu
Lin Sun
Bokui (William) Shen
Jitendra Malik
Silvio Savarese
18
209
0
30 Dec 2016
Highway and Residual Networks learn Unrolled Iterative Estimation
Highway and Residual Networks learn Unrolled Iterative Estimation
Klaus Greff
R. Srivastava
Jürgen Schmidhuber
AI4TS
29
214
0
22 Dec 2016
Exploring the Design Space of Deep Convolutional Neural Networks at
  Large Scale
Exploring the Design Space of Deep Convolutional Neural Networks at Large Scale
F. Iandola
3DV
26
18
0
20 Dec 2016
Paying More Attention to Attention: Improving the Performance of
  Convolutional Neural Networks via Attention Transfer
Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer
Sergey Zagoruyko
N. Komodakis
70
2,553
0
12 Dec 2016
Capacity and Trainability in Recurrent Neural Networks
Capacity and Trainability in Recurrent Neural Networks
Jasmine Collins
Jascha Narain Sohl-Dickstein
David Sussillo
35
203
0
29 Nov 2016
Is a picture worth a thousand words? A Deep Multi-Modal Fusion
  Architecture for Product Classification in e-commerce
Is a picture worth a thousand words? A Deep Multi-Modal Fusion Architecture for Product Classification in e-commerce
Tom Zahavy
Alessandro Magnani
Abhinandan Krishnan
Shie Mannor
35
62
0
29 Nov 2016
ResFeats: Residual Network Based Features for Image Classification
ResFeats: Residual Network Based Features for Image Classification
A. Mahmood
Bennamoun
Senjian An
Ferdous Sohel
VLM
SSeg
34
59
0
21 Nov 2016
Demystifying ResNet
Demystifying ResNet
Sihan Li
Jiantao Jiao
Yanjun Han
Tsachy Weissman
38
38
0
03 Nov 2016
Achieving Human Parity in Conversational Speech Recognition
Achieving Human Parity in Conversational Speech Recognition
Wayne Xiong
J. Droppo
Xuedong Huang
Frank Seide
M. Seltzer
A. Stolcke
Dong Yu
Geoffrey Zweig
41
576
0
17 Oct 2016
Gated End-to-End Memory Networks
Gated End-to-End Memory Networks
Julien Perez
Fei Liu
LRM
14
103
0
13 Oct 2016
Learning Spatial-Semantic Context with Fully Convolutional Recurrent
  Network for Online Handwritten Chinese Text Recognition
Learning Spatial-Semantic Context with Fully Convolutional Recurrent Network for Online Handwritten Chinese Text Recognition
Zecheng Xie
Zenghui Sun
Lianwen Jin
Hao Ni
Terry Lyons
43
122
0
09 Oct 2016
DeepDGA: Adversarially-Tuned Domain Generation and Detection
DeepDGA: Adversarially-Tuned Domain Generation and Detection
Hyrum S. Anderson
Jonathan Woodbridge
Bobby Filar
AAML
24
197
0
06 Oct 2016
Video Pixel Networks
Video Pixel Networks
Nal Kalchbrenner
Aaron van den Oord
Karen Simonyan
Ivo Danihelka
Oriol Vinyals
Alex Graves
Koray Kavukcuoglu
26
422
0
03 Oct 2016
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Zhehuai Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
718
6,750
0
26 Sep 2016
SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient
SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient
Lantao Yu
Weinan Zhang
Jun Wang
Yong Yu
GAN
20
2,389
0
18 Sep 2016
The Microsoft 2016 Conversational Speech Recognition System
The Microsoft 2016 Conversational Speech Recognition System
Wayne Xiong
J. Droppo
Xuedong Huang
Frank Seide
M. Seltzer
A. Stolcke
Dong Yu
Geoffrey Zweig
31
289
0
12 Sep 2016
Lets keep it simple, Using simple architectures to outperform deeper and
  more complex architectures
Lets keep it simple, Using simple architectures to outperform deeper and more complex architectures
S. H. HasanPour
Mohammad Rouhani
Mohsen Fayyaz
Mohammad Sabokrou
23
119
0
22 Aug 2016
Full Resolution Image Compression with Recurrent Neural Networks
Full Resolution Image Compression with Recurrent Neural Networks
G. Toderici
Damien Vincent
Nick Johnston
S. Hwang
David C. Minnen
Joel Shor
Michele Covell
GAN
28
824
0
18 Aug 2016
Learning Structured Sparsity in Deep Neural Networks
Learning Structured Sparsity in Deep Neural Networks
W. Wen
Chunpeng Wu
Yandan Wang
Yiran Chen
Hai Helen Li
49
2,323
0
12 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
26
303
0
09 Aug 2016
Training Skinny Deep Neural Networks with Iterative Hard Thresholding
  Methods
Training Skinny Deep Neural Networks with Iterative Hard Thresholding Methods
Xiaojie Jin
Xiao-Tong Yuan
Jiashi Feng
Shuicheng Yan
16
78
0
19 Jul 2016
Recurrent Highway Networks
Recurrent Highway Networks
J. Zilly
R. Srivastava
Jan Koutník
Jürgen Schmidhuber
24
413
0
12 Jul 2016
FractalNet: Ultra-Deep Neural Networks without Residuals
FractalNet: Ultra-Deep Neural Networks without Residuals
Gustav Larsson
Michael Maire
Gregory Shakhnarovich
45
933
0
24 May 2016
Wide Residual Networks
Wide Residual Networks
Sergey Zagoruyko
N. Komodakis
104
7,920
0
23 May 2016
Residual Networks Behave Like Ensembles of Relatively Shallow Networks
Residual Networks Behave Like Ensembles of Relatively Shallow Networks
Andreas Veit
Michael J. Wilber
Serge J. Belongie
UQCV
22
107
0
20 May 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
50
120
0
14 Apr 2016
Bridging the Gaps Between Residual Learning, Recurrent Neural Networks
  and Visual Cortex
Bridging the Gaps Between Residual Learning, Recurrent Neural Networks and Visual Cortex
Q. Liao
T. Poggio
213
255
0
13 Apr 2016
Deep Cross Residual Learning for Multitask Visual Recognition
Deep Cross Residual Learning for Multitask Visual Recognition
Brendan Jou
Shih-Fu Chang
ObjD
29
91
0
05 Apr 2016
Domain Adaptation of Recurrent Neural Networks for Natural Language
  Understanding
Domain Adaptation of Recurrent Neural Networks for Natural Language Understanding
Aaron Jaech
Larry Heck
Mari Ostendorf
28
78
0
01 Apr 2016
Deep Networks with Stochastic Depth
Deep Networks with Stochastic Depth
Gao Huang
Yu Sun
Zhuang Liu
Daniel Sedra
Kilian Q. Weinberger
74
2,338
0
30 Mar 2016
Convolution in Convolution for Network in Network
Convolution in Convolution for Network in Network
Yanwei Pang
Manli Sun
Xiaoheng Jiang
Xuelong Li
34
167
0
22 Mar 2016
Incorporating Copying Mechanism in Sequence-to-Sequence Learning
Incorporating Copying Mechanism in Sequence-to-Sequence Learning
Jiatao Gu
Zhengdong Lu
Hang Li
V. Li
56
1,534
0
21 Mar 2016
Identity Mappings in Deep Residual Networks
Identity Mappings in Deep Residual Networks
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
141
10,127
0
16 Mar 2016
Learning Efficient Algorithms with Hierarchical Attentive Memory
Learning Efficient Algorithms with Hierarchical Attentive Memory
Marcin Andrychowicz
Karol Kurach
41
51
0
09 Feb 2016
Predicting Clinical Events by Combining Static and Dynamic Information
  Using Recurrent Neural Networks
Predicting Clinical Events by Combining Static and Dynamic Information Using Recurrent Neural Networks
Cristóbal Esteban
O. Staeck
Yinchong Yang
Volker Tresp
22
154
0
08 Feb 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
491
191,646
0
10 Dec 2015
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