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Beyond Finite Layer Neural Networks: Bridging Deep Architectures and
  Numerical Differential Equations

Beyond Finite Layer Neural Networks: Bridging Deep Architectures and Numerical Differential Equations

27 October 2017
Yiping Lu
Aoxiao Zhong
Quanzheng Li
Bin Dong
ArXivPDFHTML

Papers citing "Beyond Finite Layer Neural Networks: Bridging Deep Architectures and Numerical Differential Equations"

34 / 34 papers shown
Title
IM-BERT: Enhancing Robustness of BERT through the Implicit Euler Method
IM-BERT: Enhancing Robustness of BERT through the Implicit Euler Method
Mihyeon Kim
Juhyoung Park
Youngbin Kim
122
0
0
11 May 2025
Stabilized Neural Prediction of Potential Outcomes in Continuous Time
Stabilized Neural Prediction of Potential Outcomes in Continuous Time
Konstantin Hess
Stefan Feuerriegel
110
0
0
04 Oct 2024
Large-time asymptotics in deep learning
Large-time asymptotics in deep learning
Carlos Esteve
Borjan Geshkovski
Dario Pighin
Enrique Zuazua
77
34
0
06 Aug 2020
LeanConvNets: Low-cost Yet Effective Convolutional Neural Networks
LeanConvNets: Low-cost Yet Effective Convolutional Neural Networks
Jonathan Ephrath
Moshe Eliasof
Lars Ruthotto
E. Haber
Eran Treister
78
16
0
29 Oct 2019
Multi-level Residual Networks from Dynamical Systems View
Multi-level Residual Networks from Dynamical Systems View
B. Chang
Lili Meng
E. Haber
Frederick Tung
David Begert
65
170
0
27 Oct 2017
PDE-Net: Learning PDEs from Data
PDE-Net: Learning PDEs from Data
Zichao Long
Yiping Lu
Xianzhong Ma
Bin Dong
DiffM
AI4CE
29
750
0
26 Oct 2017
Reversible Architectures for Arbitrarily Deep Residual Neural Networks
Reversible Architectures for Arbitrarily Deep Residual Neural Networks
B. Chang
Lili Meng
E. Haber
Lars Ruthotto
David Begert
E. Holtham
AI4CE
65
262
0
12 Sep 2017
The Reversible Residual Network: Backpropagation Without Storing
  Activations
The Reversible Residual Network: Backpropagation Without Storing Activations
Aidan Gomez
Mengye Ren
R. Urtasun
Roger C. Grosse
59
546
0
14 Jul 2017
DiracNets: Training Very Deep Neural Networks Without Skip-Connections
DiracNets: Training Very Deep Neural Networks Without Skip-Connections
Sergey Zagoruyko
N. Komodakis
UQCV
OOD
30
117
0
01 Jun 2017
Shake-Shake regularization
Shake-Shake regularization
Xavier Gastaldi
3DPC
BDL
OOD
60
380
0
21 May 2017
Opening the Black Box of Deep Neural Networks via Information
Opening the Black Box of Deep Neural Networks via Information
Ravid Shwartz-Ziv
Naftali Tishby
AI4CE
79
1,406
0
02 Mar 2017
Highway and Residual Networks learn Unrolled Iterative Estimation
Highway and Residual Networks learn Unrolled Iterative Estimation
Klaus Greff
R. Srivastava
Jürgen Schmidhuber
AI4TS
80
215
0
22 Dec 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
52
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
29
96
0
17 Nov 2016
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Zhuowen Tu
Kaiming He
435
10,281
0
16 Nov 2016
Information Dropout: Learning Optimal Representations Through Noisy
  Computation
Information Dropout: Learning Optimal Representations Through Noisy Computation
Alessandro Achille
Stefano Soatto
OOD
DRL
SSL
40
397
0
04 Nov 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
631
36,599
0
25 Aug 2016
FractalNet: Ultra-Deep Neural Networks without Residuals
FractalNet: Ultra-Deep Neural Networks without Residuals
Gustav Larsson
Michael Maire
Gregory Shakhnarovich
108
937
0
24 May 2016
Wide Residual Networks
Wide Residual Networks
Sergey Zagoruyko
N. Komodakis
268
7,951
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
36
107
0
20 May 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
227
256
0
13 Apr 2016
Deep Networks with Stochastic Depth
Deep Networks with Stochastic Depth
Gao Huang
Yu Sun
Zhuang Liu
Daniel Sedra
Kilian Q. Weinberger
151
2,344
0
30 Mar 2016
Identity Mappings in Deep Residual Networks
Identity Mappings in Deep Residual Networks
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
288
10,149
0
16 Mar 2016
Inception-v4, Inception-ResNet and the Impact of Residual Connections on
  Learning
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
Christian Szegedy
Sergey Ioffe
Vincent Vanhoucke
Alexander A. Alemi
299
14,196
0
23 Feb 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.4K
192,638
0
10 Dec 2015
Variational Dropout and the Local Reparameterization Trick
Variational Dropout and the Local Reparameterization Trick
Diederik P. Kingma
Tim Salimans
Max Welling
BDL
159
1,500
0
08 Jun 2015
On learning optimized reaction diffusion processes for effective image
  restoration
On learning optimized reaction diffusion processes for effective image restoration
Yunjin Chen
Wei Yu
Thomas Pock
DiffM
41
323
0
19 Mar 2015
A Differential Equation for Modeling Nesterov's Accelerated Gradient
  Method: Theory and Insights
A Differential Equation for Modeling Nesterov's Accelerated Gradient Method: Theory and Insights
Weijie Su
Stephen P. Boyd
Emmanuel J. Candes
149
1,161
0
04 Mar 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
200
18,534
0
06 Feb 2015
Deeply-Supervised Nets
Deeply-Supervised Nets
Chen-Yu Lee
Saining Xie
Patrick W. Gallagher
Zhengyou Zhang
Zhuowen Tu
274
2,229
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
333
43,511
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
943
99,991
0
04 Sep 2014
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
1.1K
39,383
0
01 Sep 2014
Toward Designing Intelligent PDEs for Computer Vision: An Optimal
  Control Approach
Toward Designing Intelligent PDEs for Computer Vision: An Optimal Control Approach
Risheng Liu
Zhouchen Lin
Wayne Zhang
Kewei Tang
Zhixun Su
61
28
0
06 Sep 2011
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