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1903.10047
Cited By
Approximation and Non-parametric Estimation of ResNet-type Convolutional Neural Networks
24 March 2019
Kenta Oono
Taiji Suzuki
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Papers citing
"Approximation and Non-parametric Estimation of ResNet-type Convolutional Neural Networks"
30 / 30 papers shown
Title
Adaptivity of deep ReLU network for learning in Besov and mixed smooth Besov spaces: optimal rate and curse of dimensionality
Taiji Suzuki
87
243
0
18 Oct 2018
Equivalence of approximation by convolutional neural networks and fully-connected networks
P. Petersen
Felix Voigtländer
37
78
0
04 Sep 2018
ResNet with one-neuron hidden layers is a Universal Approximator
Hongzhou Lin
Stefanie Jegelka
62
227
0
28 Jun 2018
Dynamical Isometry and a Mean Field Theory of RNNs: Gating Enables Signal Propagation in Recurrent Neural Networks
Minmin Chen
Jeffrey Pennington
S. Schoenholz
SyDa
AI4CE
38
116
0
14 Jun 2018
The universal approximation power of finite-width deep ReLU networks
Dmytro Perekrestenko
Philipp Grohs
Dennis Elbrächter
Helmut Bölcskei
23
36
0
05 Jun 2018
Universality of Deep Convolutional Neural Networks
Ding-Xuan Zhou
HAI
PINN
176
513
0
28 May 2018
Understanding Generalization and Optimization Performance of Deep CNNs
Pan Zhou
Jiashi Feng
MLT
93
49
0
28 May 2018
Universal approximations of invariant maps by neural networks
Dmitry Yarotsky
57
210
0
26 Apr 2018
Functional Gradient Boosting based on Residual Network Perception
Atsushi Nitanda
Taiji Suzuki
38
27
0
25 Feb 2018
Spectral Normalization for Generative Adversarial Networks
Takeru Miyato
Toshiki Kataoka
Masanori Koyama
Yuichi Yoshida
ODL
127
4,421
0
16 Feb 2018
Stronger generalization bounds for deep nets via a compression approach
Sanjeev Arora
Rong Ge
Behnam Neyshabur
Yi Zhang
MLT
AI4CE
66
637
0
14 Feb 2018
Deep Neural Networks Learn Non-Smooth Functions Effectively
Masaaki Imaizumi
Kenji Fukumizu
116
123
0
13 Feb 2018
Spherical CNNs
Taco S. Cohen
Mario Geiger
Jonas Köhler
Max Welling
107
898
0
30 Jan 2018
Beyond Finite Layer Neural Networks: Bridging Deep Architectures and Numerical Differential Equations
Yiping Lu
Aoxiao Zhong
Quanzheng Li
Bin Dong
126
495
0
27 Oct 2017
Optimal approximation of piecewise smooth functions using deep ReLU neural networks
P. Petersen
Felix Voigtländer
147
472
0
15 Sep 2017
The Expressive Power of Neural Networks: A View from the Width
Zhou Lu
Hongming Pu
Feicheng Wang
Zhiqiang Hu
Liwei Wang
62
886
0
08 Sep 2017
Nonparametric regression using deep neural networks with ReLU activation function
Johannes Schmidt-Hieber
93
804
0
22 Aug 2017
Learning Deep ResNet Blocks Sequentially using Boosting Theory
Furong Huang
Jordan T. Ash
John Langford
Robert Schapire
34
111
0
15 Jun 2017
Optimal Approximation with Sparsely Connected Deep Neural Networks
Helmut Bölcskei
Philipp Grohs
Gitta Kutyniok
P. Petersen
112
256
0
04 May 2017
On the ability of neural nets to express distributions
Holden Lee
Rong Ge
Tengyu Ma
Andrej Risteski
Sanjeev Arora
BDL
48
84
0
22 Feb 2017
Error bounds for approximations with deep ReLU networks
Dmitry Yarotsky
118
1,226
0
03 Oct 2016
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Zhiwen Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
788
6,768
0
26 Sep 2016
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
600
36,599
0
25 Aug 2016
Approximation by Combinations of ReLU and Squared ReLU Ridge Functions with
ℓ
1
\ell^1
ℓ
1
and
ℓ
0
\ell^0
ℓ
0
Controls
Jason M. Klusowski
Andrew R. Barron
193
142
0
26 Jul 2016
Understanding and Improving Convolutional Neural Networks via Concatenated Rectified Linear Units
Wenling Shang
Kihyuk Sohn
Diogo Almeida
Honglak Lee
47
503
0
16 Mar 2016
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.2K
192,638
0
10 Dec 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
989
76,547
0
18 May 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
260
43,154
0
11 Feb 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
VLM
144
18,534
0
06 Feb 2015
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
269
43,511
0
17 Sep 2014
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