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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
Classifying Symmetrical Differences and Temporal Change in Mammography
  Using Deep Neural Networks
Classifying Symmetrical Differences and Temporal Change in Mammography Using Deep Neural Networks
Thijs Kooi
N. Karssemeijer
31
48
0
22 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
Deciding How to Decide: Dynamic Routing in Artificial Neural Networks
Deciding How to Decide: Dynamic Routing in Artificial Neural Networks
Mason McGill
Pietro Perona
18
102
0
17 Mar 2017
End-to-End Learning for Structured Prediction Energy Networks
End-to-End Learning for Structured Prediction Energy Networks
David Belanger
Bishan Yang
Andrew McCallum
14
136
0
16 Mar 2017
Byzantine-Tolerant Machine Learning
Byzantine-Tolerant Machine Learning
Peva Blanchard
El-Mahdi El-Mhamdi
R. Guerraoui
J. Stainer
OOD
FedML
30
70
0
08 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
21
181
0
06 Mar 2017
Learning Deep Matrix Representations
Learning Deep Matrix Representations
Kien Do
T. Tran
Svetha Venkatesh
GNN
17
5
0
04 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
21
1,628
0
03 Mar 2017
Deep Forest
Deep Forest
Zhi-Hua Zhou
Ji Feng
16
1,000
0
28 Feb 2017
Memory-Efficient Global Refinement of Decision-Tree Ensembles and its
  Application to Face Alignment
Memory-Efficient Global Refinement of Decision-Tree Ensembles and its Application to Face Alignment
Nenad Markuš
Ivan Gogić
Igor S. Pandzic
Jörgen Ahlberg
CVBM
21
1
0
27 Feb 2017
Activation Ensembles for Deep Neural Networks
Activation Ensembles for Deep Neural Networks
Mark Harmon
Diego Klabjan
31
35
0
24 Feb 2017
One Size Fits Many: Column Bundle for Multi-X Learning
One Size Fits Many: Column Bundle for Multi-X Learning
Trang Pham
T. Tran
Svetha Venkatesh
27
5
0
22 Feb 2017
The Power of Sparsity in Convolutional Neural Networks
The Power of Sparsity in Convolutional Neural Networks
Soravit Changpinyo
Mark Sandler
A. Zhmoginov
14
132
0
21 Feb 2017
Low-Dose CT with a Residual Encoder-Decoder Convolutional Neural Network
  (RED-CNN)
Low-Dose CT with a Residual Encoder-Decoder Convolutional Neural Network (RED-CNN)
Hu Chen
Yi Zhang
M. Kalra
Feng Lin
Yang Chen
Peixi Liao
Jiliu Zhou
Ge Wang
MedIm
36
1,292
0
01 Feb 2017
Towards "AlphaChem": Chemical Synthesis Planning with Tree Search and
  Deep Neural Network Policies
Towards "AlphaChem": Chemical Synthesis Planning with Tree Search and Deep Neural Network Policies
Marwin H. S. Segler
Mike Preuss
M. Waller
18
33
0
31 Jan 2017
Residual LSTM: Design of a Deep Recurrent Architecture for Distant
  Speech Recognition
Residual LSTM: Design of a Deep Recurrent Architecture for Distant Speech Recognition
Jaeyoung Kim
Mostafa El-Khamy
Jungwon Lee
AI4TS
19
178
0
10 Jan 2017
Highway and Residual Networks learn Unrolled Iterative Estimation
Highway and Residual Networks learn Unrolled Iterative Estimation
Klaus Greff
R. Srivastava
Jürgen Schmidhuber
AI4TS
26
214
0
22 Dec 2016
An Empirical Study of Language CNN for Image Captioning
An Empirical Study of Language CNN for Image Captioning
Jiuxiang Gu
G. Wang
Jianfei Cai
Tsuhan Chen
31
132
0
21 Dec 2016
Learning in the Machine: Random Backpropagation and the Deep Learning
  Channel
Learning in the Machine: Random Backpropagation and the Deep Learning Channel
Pierre Baldi
Peter Sadowski
Zhiqin Lu
AAML
18
16
0
08 Dec 2016
Deep Convolutional Neural Networks with Merge-and-Run Mappings
Deep Convolutional Neural Networks with Merge-and-Run Mappings
Liming Zhao
Jingdong Wang
Xi Li
Zhuowen Tu
Yueting Zhuang
MoMe
36
68
0
23 Nov 2016
Learning the Number of Neurons in Deep Networks
Learning the Number of Neurons in Deep Networks
J. Álvarez
Mathieu Salzmann
58
413
0
19 Nov 2016
Improving training of deep neural networks via Singular Value Bounding
Improving training of deep neural networks via Singular Value Bounding
Kui Jia
AAML
33
90
0
18 Nov 2016
PolyNet: A Pursuit of Structural Diversity in Very Deep Networks
PolyNet: A Pursuit of Structural Diversity in Very Deep Networks
Xingcheng Zhang
Zhizhong Li
Chen Change Loy
Dahua Lin
MDE
35
259
0
17 Nov 2016
Factorized Bilinear Models for Image Recognition
Factorized Bilinear Models for Image Recognition
Yanghao Li
Naiyan Wang
Jiaying Liu
Xiaodi Hou
19
96
0
17 Nov 2016
DelugeNets: Deep Networks with Efficient and Flexible Cross-layer
  Information Inflows
DelugeNets: Deep Networks with Efficient and Flexible Cross-layer Information Inflows
Jason Kuen
Xiangfei Kong
G. Wang
Yap-Peng Tan
14
14
0
17 Nov 2016
Neural Style Representations and the Large-Scale Classification of
  Artistic Style
Neural Style Representations and the Large-Scale Classification of Artistic Style
Jeremiah W. Johnson
GAN
23
3
0
16 Nov 2016
Regularizing CNNs with Locally Constrained Decorrelations
Regularizing CNNs with Locally Constrained Decorrelations
Pau Rodríguez López
Jordi Gonzalez
Guillem Cucurull
J. M. Gonfaus
F. X. Roca
37
133
0
07 Nov 2016
The Shallow End: Empowering Shallower Deep-Convolutional Networks
  through Auxiliary Outputs
The Shallow End: Empowering Shallower Deep-Convolutional Networks through Auxiliary Outputs
Yong Guo
Jian Chen
Qingyao Wu
Anton Van Den Hengel
Javen Qinfeng Shi
Mingkui Tan
19
13
0
06 Nov 2016
Dynamic Coattention Networks For Question Answering
Dynamic Coattention Networks For Question Answering
Caiming Xiong
Victor Zhong
R. Socher
AIMat
40
684
0
05 Nov 2016
Learning Identity Mappings with Residual Gates
Learning Identity Mappings with Residual Gates
Pedro H. P. Savarese
Leonardo O. Mazza
Daniel R. Figueiredo
25
5
0
04 Nov 2016
Demystifying ResNet
Demystifying ResNet
Sihan Li
Jiantao Jiao
Yanjun Han
Tsachy Weissman
35
38
0
03 Nov 2016
Deep Convolutional Neural Network Design Patterns
Deep Convolutional Neural Network Design Patterns
L. Smith
Nicholay Topin
AI4CE
OOD
38
59
0
02 Nov 2016
Tensor Switching Networks
Tensor Switching Networks
Chuan-Yung Tsai
Andrew M. Saxe
David D. Cox
11
10
0
31 Oct 2016
Maxmin convolutional neural networks for image classification
Maxmin convolutional neural networks for image classification
Michael Blot
Matthieu Cord
Nicolas Thome
12
45
0
25 Oct 2016
Small-footprint Highway Deep Neural Networks for Speech Recognition
Small-footprint Highway Deep Neural Networks for Speech Recognition
Liang Lu
Steve Renals
35
15
0
18 Oct 2016
Gated End-to-End Memory Networks
Gated End-to-End Memory Networks
Julien Perez
Fei Liu
LRM
12
103
0
13 Oct 2016
An Empirical Exploration of Skip Connections for Sequential Tagging
An Empirical Exploration of Skip Connections for Sequential Tagging
Huijia Wu
Jiajun Zhang
Chengqing Zong
BDL
41
17
0
11 Oct 2016
Very Deep Convolutional Networks for End-to-End Speech Recognition
Very Deep Convolutional Networks for End-to-End Speech Recognition
Yu Zhang
William Chan
Navdeep Jaitly
AI4TS
21
409
0
10 Oct 2016
Fully Character-Level Neural Machine Translation without Explicit
  Segmentation
Fully Character-Level Neural Machine Translation without Explicit Segmentation
Jason D. Lee
Kyunghyun Cho
Thomas Hofmann
VLM
47
455
0
10 Oct 2016
Deep Pyramidal Residual Networks
Deep Pyramidal Residual Networks
Dongyoon Han
Jiwhan Kim
Junmo Kim
26
689
0
10 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
X-CNN: Cross-modal Convolutional Neural Networks for Sparse Datasets
X-CNN: Cross-modal Convolutional Neural Networks for Sparse Datasets
Petar Velickovic
Duo Wang
Nicholas D. Lane
Pietro Lio
34
31
0
01 Oct 2016
HyperNetworks
HyperNetworks
David R Ha
Andrew M. Dai
Quoc V. Le
84
1,589
0
27 Sep 2016
Lattice-Based Recurrent Neural Network Encoders for Neural Machine
  Translation
Lattice-Based Recurrent Neural Network Encoders for Neural Machine Translation
Jinsong Su
Zhixing Tan
Deyi Xiong
Rongrong Ji
X. Shi
Yang Liu
21
91
0
25 Sep 2016
Multi-Residual Networks: Improving the Speed and Accuracy of Residual
  Networks
Multi-Residual Networks: Improving the Speed and Accuracy of Residual Networks
M. Abdi
S. Nahavandi
21
39
0
19 Sep 2016
Column Networks for Collective Classification
Column Networks for Collective Classification
Trang Pham
T. Tran
Dinh Q. Phung
Svetha Venkatesh
GNN
17
145
0
15 Sep 2016
Fitted Learning: Models with Awareness of their Limits
Fitted Learning: Models with Awareness of their Limits
Navid Kardan
Kenneth O. Stanley
CLL
32
16
0
07 Sep 2016
Accurate De Novo Prediction of Protein Contact Map by Ultra-Deep
  Learning Model
Accurate De Novo Prediction of Protein Contact Map by Ultra-Deep Learning Model
Sheng Wang
S. Sun
Zerui Li
Renyu Zhang
Jinbo Xu
19
818
0
02 Sep 2016
A deep learning model for estimating story points
A deep learning model for estimating story points
Morakot Choetkiertikul
Hoa Dam
T. Tran
Trang Pham
A. Ghose
Tim Menzies
24
170
0
02 Sep 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
318
36,420
0
25 Aug 2016
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