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Training Very Deep Networks

Training Very Deep Networks

22 July 2015
R. Srivastava
Klaus Greff
Jürgen Schmidhuber
ArXivPDFHTML

Papers citing "Training Very Deep Networks"

50 / 559 papers shown
Title
Mollifying Networks
Mollifying Networks
Çağlar Gülçehre
Marcin Moczulski
Francesco Visin
Yoshua Bengio
23
46
0
17 Aug 2016
Faster Training of Very Deep Networks Via p-Norm Gates
Faster Training of Very Deep Networks Via p-Norm Gates
Trang Pham
T. Tran
Dinh Q. Phung
Svetha Venkatesh
AI4CE
27
19
0
11 Aug 2016
Knowledge Distillation for Small-footprint Highway Networks
Knowledge Distillation for Small-footprint Highway Networks
Liang Lu
Michelle Guo
Steve Renals
24
73
0
02 Aug 2016
Gated Siamese Convolutional Neural Network Architecture for Human
  Re-Identification
Gated Siamese Convolutional Neural Network Architecture for Human Re-Identification
Rahul Rama Varior
Mrinal Haloi
G. Wang
26
795
0
28 Jul 2016
End-to-End Image Super-Resolution via Deep and Shallow Convolutional
  Networks
End-to-End Image Super-Resolution via Deep and Shallow Convolutional Networks
Yifan Wang
Lijun Wang
Hongyu Wang
P. Li
SupR
OOD
32
140
0
26 Jul 2016
Geometric Neural Phrase Pooling: Modeling the Spatial Co-occurrence of
  Neurons
Geometric Neural Phrase Pooling: Modeling the Spatial Co-occurrence of Neurons
Lingxi Xie
Qi Tian
John Flynn
Jingdong Wang
Alan Yuille
22
11
0
21 Jul 2016
On the Modeling of Error Functions as High Dimensional Landscapes for
  Weight Initialization in Learning Networks
On the Modeling of Error Functions as High Dimensional Landscapes for Weight Initialization in Learning Networks
Julius
Gopinath Mahale
Sumana T
C. S. Adityakrishna
11
1
0
20 Jul 2016
Recurrent Highway Networks
Recurrent Highway Networks
J. Zilly
R. Srivastava
Jan Koutník
Jürgen Schmidhuber
18
413
0
12 Jul 2016
Sequence Training and Adaptation of Highway Deep Neural Networks
Sequence Training and Adaptation of Highway Deep Neural Networks
Liang Lu
17
6
0
07 Jul 2016
Image Restoration Using Convolutional Auto-encoders with Symmetric Skip
  Connections
Image Restoration Using Convolutional Auto-encoders with Symmetric Skip Connections
Xiao-Jiao Mao
Chunhua Shen
Yubin Yang
SupR
35
396
0
29 Jun 2016
A Comprehensive Study of Deep Bidirectional LSTM RNNs for Acoustic
  Modeling in Speech Recognition
A Comprehensive Study of Deep Bidirectional LSTM RNNs for Acoustic Modeling in Speech Recognition
Albert Zeyer
P. Doetsch
P. Voigtlaender
Ralf Schluter
Hermann Ney
25
169
0
22 Jun 2016
Conditional Image Generation with PixelCNN Decoders
Conditional Image Generation with PixelCNN Decoders
Aaron van den Oord
Nal Kalchbrenner
Oriol Vinyals
L. Espeholt
Alex Graves
Koray Kavukcuoglu
VLM
28
2,481
0
16 Jun 2016
Convolutional Residual Memory Networks
Convolutional Residual Memory Networks
Joel Ruben Antony Moniz
C. Pal
28
23
0
16 Jun 2016
Deep Learning with Darwin: Evolutionary Synthesis of Deep Neural
  Networks
Deep Learning with Darwin: Evolutionary Synthesis of Deep Neural Networks
M. Shafiee
A. Mishra
A. Wong
32
44
0
14 Jun 2016
Word Representation Models for Morphologically Rich Languages in Neural
  Machine Translation
Word Representation Models for Morphologically Rich Languages in Neural Machine Translation
Ekaterina Vylomova
Trevor Cohn
Xuanli He
Gholamreza Haffari
3DV
27
50
0
14 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
17
83
0
01 Jun 2016
A Systematic Evaluation and Benchmark for Person Re-Identification:
  Features, Metrics, and Datasets
A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets
Srikrishna Karanam
Mengran Gou
Ziyan Wu
Angels Rates-Borras
Mario Sznaier
Richard J. Radke
43
58
0
31 May 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
41
199
0
30 May 2016
Density estimation using Real NVP
Density estimation using Real NVP
Falong Shen
Jascha Sohl-Dickstein
Gang Zeng
DRL
35
44
0
27 May 2016
Deeply-Fused Nets
Deeply-Fused Nets
Jingdong Wang
Zhen Wei
Ting Zhang
Wenjun Zeng
FedML
8
98
0
25 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
35
14
0
23 May 2016
Bridging Category-level and Instance-level Semantic Image Segmentation
Bridging Category-level and Instance-level Semantic Image Segmentation
Zifeng Wu
Chunhua Shen
Anton Van Den Hengel
ISeg
SSeg
9
161
0
23 May 2016
Swapout: Learning an ensemble of deep architectures
Swapout: Learning an ensemble of deep architectures
Saurabh Singh
Derek Hoiem
David A. Forsyth
BDL
3DPC
OOD
UQCV
21
150
0
20 May 2016
Going Deeper into Action Recognition: A Survey
Going Deeper into Action Recognition: A Survey
Samitha Herath
Mehrtash Harandi
Fatih Porikli
36
610
0
16 May 2016
LSTM with Working Memory
LSTM with Working Memory
Andrew Pulver
Siwei Lyu
RALM
KELM
14
66
0
06 May 2016
Maximal Sparsity with Deep Networks?
Maximal Sparsity with Deep Networks?
Bo Xin
Yizhou Wang
Wen Gao
David Wipf
3DPC
13
167
0
05 May 2016
Deep Motif: Visualizing Genomic Sequence Classifications
Deep Motif: Visualizing Genomic Sequence Classifications
Jack Lanchantin
Ritambhara Singh
Zeming Lin
Yanjun Qi
21
74
0
04 May 2016
An evaluation of randomized machine learning methods for redundant data:
  Predicting short and medium-term suicide risk from administrative records and
  risk assessments
An evaluation of randomized machine learning methods for redundant data: Predicting short and medium-term suicide risk from administrative records and risk assessments
Nguyen Cong Thuong
T. Tran
Shivapratap Gopakumar
Dinh Q. Phung
Svetha Venkatesh
8
8
0
03 May 2016
Training Deep Nets with Sublinear Memory Cost
Training Deep Nets with Sublinear Memory Cost
Tianqi Chen
Bing Xu
Chiyuan Zhang
Carlos Guestrin
58
1,145
0
21 Apr 2016
Sentence-Level Grammatical Error Identification as Sequence-to-Sequence
  Correction
Sentence-Level Grammatical Error Identification as Sequence-to-Sequence Correction
A. Schmaltz
Yoon Kim
Alexander M. Rush
Stuart M. Shieber
25
42
0
16 Apr 2016
High-performance Semantic Segmentation Using Very Deep Fully
  Convolutional Networks
High-performance Semantic Segmentation Using Very Deep Fully Convolutional Networks
Zifeng Wu
Chunhua Shen
Anton Van Den Hengel
SSeg
25
130
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
50
120
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
74
2,336
0
30 Mar 2016
Image Restoration Using Very Deep Convolutional Encoder-Decoder Networks
  with Symmetric Skip Connections
Image Restoration Using Very Deep Convolutional Encoder-Decoder Networks with Symmetric Skip Connections
Xiao-Jiao Mao
Chunhua Shen
Yubin Yang
SupR
16
85
0
30 Mar 2016
Adaptive Computation Time for Recurrent Neural Networks
Adaptive Computation Time for Recurrent Neural Networks
Alex Graves
21
537
0
29 Mar 2016
Resnet in Resnet: Generalizing Residual Architectures
Resnet in Resnet: Generalizing Residual Architectures
S. Targ
Diogo Almeida
Kevin Lyman
SSeg
25
806
0
25 Mar 2016
A Character-Level Decoder without Explicit Segmentation for Neural
  Machine Translation
A Character-Level Decoder without Explicit Segmentation for Neural Machine Translation
Junyoung Chung
Kyunghyun Cho
Yoshua Bengio
40
331
0
19 Mar 2016
Do Deep Convolutional Nets Really Need to be Deep and Convolutional?
Do Deep Convolutional Nets Really Need to be Deep and Convolutional?
G. Urban
Krzysztof J. Geras
Samira Ebrahimi Kahou
Ozlem Aslan
Shengjie Wang
R. Caruana
Abdel-rahman Mohamed
Matthai Philipose
Matthew Richardson
20
47
0
17 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
24
499
0
16 Mar 2016
Identity Mappings in Deep Residual Networks
Identity Mappings in Deep Residual Networks
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
93
10,126
0
16 Mar 2016
Cascaded Subpatch Networks for Effective CNNs
Cascaded Subpatch Networks for Effective CNNs
Xiaoheng Jiang
Yanwei Pang
Manli Sun
Xuelong Li
28
39
0
01 Mar 2016
Group Equivariant Convolutional Networks
Group Equivariant Convolutional Networks
Taco S. Cohen
Max Welling
BDL
43
1,897
0
24 Feb 2016
Choice by Elimination via Deep Neural Networks
Choice by Elimination via Deep Neural Networks
T. Tran
Dinh Q. Phung
Svetha Venkatesh
BDL
CML
6
4
0
17 Feb 2016
Attention-Based Convolutional Neural Network for Machine Comprehension
Attention-Based Convolutional Neural Network for Machine Comprehension
Wenpeng Yin
Sebastian Ebert
Hinrich Schütze
30
99
0
13 Feb 2016
Exploring the Limits of Language Modeling
Exploring the Limits of Language Modeling
Rafal Jozefowicz
Oriol Vinyals
M. Schuster
Noam M. Shazeer
Yonghui Wu
30
1,140
0
07 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
37
5,146
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
OOD
BDL
20
47
0
16 Dec 2015
Small-footprint Deep Neural Networks with Highway Connections for Speech
  Recognition
Small-footprint Deep Neural Networks with Highway Connections for Speech Recognition
Liang Lu
Steve Renals
43
23
0
14 Dec 2015
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
273
191,549
0
10 Dec 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
126
5,489
0
23 Nov 2015
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