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Fast convergence rates of deep neural networks for classification
v1v2 (latest)

Fast convergence rates of deep neural networks for classification

10 December 2018
Yongdai Kim
Ilsang Ohn
Dongha Kim
    3DH3DV
ArXiv (abs)PDFHTML

Papers citing "Fast convergence rates of deep neural networks for classification"

17 / 17 papers shown
Title
High-dimensional classification problems with Barron regular boundaries under margin conditions
High-dimensional classification problems with Barron regular boundaries under margin conditions
Jonathan García
Philipp Petersen
121
1
0
10 Dec 2024
Adaptivity of deep ReLU network for learning in Besov and mixed smooth
  Besov spaces: optimal rate and curse of dimensionality
Adaptivity of deep ReLU network for learning in Besov and mixed smooth Besov spaces: optimal rate and curse of dimensionality
Taiji Suzuki
179
245
0
18 Oct 2018
Deep Neural Networks Learn Non-Smooth Functions Effectively
Deep Neural Networks Learn Non-Smooth Functions Effectively
Masaaki Imaizumi
Kenji Fukumizu
145
124
0
13 Feb 2018
Optimal approximation of piecewise smooth functions using deep ReLU
  neural networks
Optimal approximation of piecewise smooth functions using deep ReLU neural networks
P. Petersen
Felix Voigtländer
223
475
0
15 Sep 2017
Nonparametric regression using deep neural networks with ReLU activation
  function
Nonparametric regression using deep neural networks with ReLU activation function
Johannes Schmidt-Hieber
230
811
0
22 Aug 2017
Error bounds for approximations with deep ReLU networks
Error bounds for approximations with deep ReLU networks
Dmitry Yarotsky
195
1,230
0
03 Oct 2016
Learning Structured Sparsity in Deep Neural Networks
Learning Structured Sparsity in Deep Neural Networks
W. Wen
Chunpeng Wu
Yandan Wang
Yiran Chen
Hai Helen Li
181
2,339
0
12 Aug 2016
On the Expressive Power of Deep Neural Networks
On the Expressive Power of Deep Neural Networks
M. Raghu
Ben Poole
Jon M. Kleinberg
Surya Ganguli
Jascha Narain Sohl-Dickstein
61
790
0
16 Jun 2016
Pixel Recurrent Neural Networks
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSegGAN
479
2,573
0
25 Jan 2016
The Power of Depth for Feedforward Neural Networks
The Power of Depth for Feedforward Neural Networks
Ronen Eldan
Ohad Shamir
216
732
0
12 Dec 2015
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,020
0
10 Dec 2015
Learning both Weights and Connections for Efficient Neural Networks
Learning both Weights and Connections for Efficient Neural Networks
Song Han
Jeff Pool
J. Tran
W. Dally
CVBM
313
6,681
0
08 Jun 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
463
43,328
0
11 Feb 2015
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
90
1,254
0
08 Feb 2014
Statistical performance of support vector machines
Statistical performance of support vector machines
Gilles Blanchard
Olivier Bousquet
P. Massart
382
161
0
03 Apr 2008
Fast learning rates for plug-in classifiers
Fast learning rates for plug-in classifiers
Jean-Yves Audibert
Alexandre B. Tsybakov
575
465
0
17 Aug 2007
Fast rates for support vector machines using Gaussian kernels
Fast rates for support vector machines using Gaussian kernels
Ingo Steinwart
C. Scovel
286
284
0
14 Aug 2007
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