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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"

35 / 35 papers shown
Title
FACTS: A Factored State-Space Framework For World Modelling
FACTS: A Factored State-Space Framework For World Modelling
Li Nanbo
Firas Laakom
Yucheng Xu
Wenyi Wang
Jürgen Schmidhuber
AI4TS
445
1
0
28 Oct 2024
DeepVar: An End-to-End Deep Learning Approach for Genomic Variant
  Recognition in Biomedical Literature
DeepVar: An End-to-End Deep Learning Approach for Genomic Variant Recognition in Biomedical Literature
Chaoran Cheng
Fei Tan
Zhi Wei
57
7
0
05 Jun 2020
Deep 1D-Convnet for accurate Parkinson disease detection and severity
  prediction from gait
Deep 1D-Convnet for accurate Parkinson disease detection and severity prediction from gait
Imanne El Maâchi
Guillaume-Alexandre Bilodeau
W. Bouachir
98
198
0
25 Oct 2019
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
106
182
0
06 Mar 2017
Deep Forest
Deep Forest
Zhi Zhou
Ji Feng
96
1,010
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
47
1
0
27 Feb 2017
Activation Ensembles for Deep Neural Networks
Activation Ensembles for Deep Neural Networks
Mark Harmon
Diego Klabjan
147
35
0
24 Feb 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
90
179
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
98
215
0
22 Dec 2016
Small-footprint Highway Deep Neural Networks for Speech Recognition
Small-footprint Highway Deep Neural Networks for Speech Recognition
Liang Lu
Steve Renals
102
16
0
18 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
126
457
0
10 Oct 2016
Exploring the Limits of Language Modeling
Exploring the Limits of Language Modeling
Rafal Jozefowicz
Oriol Vinyals
M. Schuster
Noam M. Shazeer
Yonghui Wu
168
1,145
0
07 Feb 2016
Binding via Reconstruction Clustering
Binding via Reconstruction Clustering
Klaus Greff
R. Srivastava
Jürgen Schmidhuber
OCL
49
40
0
19 Nov 2015
Grid Long Short-Term Memory
Grid Long Short-Term Memory
Nal Kalchbrenner
Ivo Danihelka
Alex Graves
AI4TS
74
362
0
06 Jul 2015
Highway Networks
Highway Networks
R. Srivastava
Klaus Greff
Jürgen Schmidhuber
159
1,768
0
03 May 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on
  ImageNet Classification
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
VLM
280
18,587
0
06 Feb 2015
Striving for Simplicity: The All Convolutional Net
Striving for Simplicity: The All Convolutional Net
Jost Tobias Springenberg
Alexey Dosovitskiy
Thomas Brox
Martin Riedmiller
FAtt
224
4,665
0
21 Dec 2014
Random Walk Initialization for Training Very Deep Feedforward Networks
Random Walk Initialization for Training Very Deep Feedforward Networks
David Sussillo
L. F. Abbott
50
81
0
19 Dec 2014
FitNets: Hints for Thin Deep Nets
FitNets: Hints for Thin Deep Nets
Adriana Romero
Nicolas Ballas
Samira Ebrahimi Kahou
Antoine Chassang
C. Gatta
Yoshua Bengio
FedML
276
3,870
0
19 Dec 2014
On the Expressive Efficiency of Sum Product Networks
On the Expressive Efficiency of Sum Product Networks
James Martens
Venkatesh Medabalimi
TPM
47
67
0
27 Nov 2014
Understanding Locally Competitive Networks
Understanding Locally Competitive Networks
R. Srivastava
Jonathan Masci
Faustino J. Gomez
Jürgen Schmidhuber
FAtt
60
39
0
05 Oct 2014
Spatially-sparse convolutional neural networks
Spatially-sparse convolutional neural networks
Benjamin Graham
83
231
0
22 Sep 2014
Deeply-Supervised Nets
Deeply-Supervised Nets
Chen-Yu Lee
Saining Xie
Patrick W. Gallagher
Zhengyou Zhang
Zhuowen Tu
321
2,238
0
18 Sep 2014
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
401
43,589
0
17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.4K
100,213
0
04 Sep 2014
Deep Networks with Internal Selective Attention through Feedback
  Connections
Deep Networks with Internal Selective Attention through Feedback Connections
Marijn F. Stollenga
Jonathan Masci
Faustino J. Gomez
Jürgen Schmidhuber
136
257
0
11 Jul 2014
Caffe: Convolutional Architecture for Fast Feature Embedding
Caffe: Convolutional Architecture for Fast Feature Embedding
Yangqing Jia
Evan Shelhamer
Jeff Donahue
Sergey Karayev
Jonathan Long
Ross B. Girshick
S. Guadarrama
Trevor Darrell
VLM
BDL
3DV
251
14,704
0
20 Jun 2014
Identifying and attacking the saddle point problem in high-dimensional
  non-convex optimization
Identifying and attacking the saddle point problem in high-dimensional non-convex optimization
Yann N. Dauphin
Razvan Pascanu
Çağlar Gülçehre
Kyunghyun Cho
Surya Ganguli
Yoshua Bengio
ODL
123
1,384
0
10 Jun 2014
On the Number of Linear Regions of Deep Neural Networks
On the Number of Linear Regions of Deep Neural Networks
Guido Montúfar
Razvan Pascanu
Kyunghyun Cho
Yoshua Bengio
88
1,254
0
08 Feb 2014
Exact solutions to the nonlinear dynamics of learning in deep linear
  neural networks
Exact solutions to the nonlinear dynamics of learning in deep linear neural networks
Andrew M. Saxe
James L. McClelland
Surya Ganguli
ODL
162
1,844
0
20 Dec 2013
Network In Network
Network In Network
Min Lin
Qiang Chen
Shuicheng Yan
273
6,274
0
16 Dec 2013
Generating Sequences With Recurrent Neural Networks
Generating Sequences With Recurrent Neural Networks
Alex Graves
GAN
138
4,031
0
04 Aug 2013
Maxout Networks
Maxout Networks
Ian Goodfellow
David Warde-Farley
M. Berk Mirza
Aaron Courville
Yoshua Bengio
OOD
220
2,177
0
18 Feb 2013
Feature Learning in Deep Neural Networks - Studies on Speech Recognition
  Tasks
Feature Learning in Deep Neural Networks - Studies on Speech Recognition Tasks
Dong Yu
M. Seltzer
Jinyu Li
J. Huang
Frank Seide
77
262
0
16 Jan 2013
Multi-column Deep Neural Networks for Image Classification
Multi-column Deep Neural Networks for Image Classification
D. Ciresan
U. Meier
Jürgen Schmidhuber
141
3,938
0
13 Feb 2012
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