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Realizing data features by deep nets

Realizing data features by deep nets

1 January 2019
Zheng-Chu Guo
Lei Shi
Shao-Bo Lin
ArXiv (abs)PDFHTML

Papers citing "Realizing data features by deep nets"

7 / 7 papers shown
Optimal Approximation and Learning Rates for Deep Convolutional Neural
  Networks
Optimal Approximation and Learning Rates for Deep Convolutional Neural Networks
Shao-Bo Lin
167
1
0
07 Aug 2023
Generalization Performance of Empirical Risk Minimization on
  Over-parameterized Deep ReLU Nets
Generalization Performance of Empirical Risk Minimization on Over-parameterized Deep ReLU NetsIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2021
Shao-Bo Lin
Yao Wang
Ding-Xuan Zhou
ODL
336
6
0
28 Nov 2021
Universal Consistency of Deep Convolutional Neural Networks
Universal Consistency of Deep Convolutional Neural Networks
Shao-Bo Lin
Kaidong Wang
Yao Wang
Ding-Xuan Zhou
168
23
0
23 Jun 2021
Depth Selection for Deep ReLU Nets in Feature Extraction and
  Generalization
Depth Selection for Deep ReLU Nets in Feature Extraction and GeneralizationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Zhi Han
Siquan Yu
Shao-Bo Lin
Ding-Xuan Zhou
OOD
160
46
0
01 Apr 2020
Approximation smooth and sparse functions by deep neural networks
  without saturation
Approximation smooth and sparse functions by deep neural networks without saturation
Xia Liu
101
1
0
13 Jan 2020
Realization of spatial sparseness by deep ReLU nets with massive data
Realization of spatial sparseness by deep ReLU nets with massive dataIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019
C. Chui
Shao-Bo Lin
Bo Zhang
Ding-Xuan Zhou
132
24
0
16 Dec 2019
Deep Neural Networks for Rotation-Invariance Approximation and Learning
Deep Neural Networks for Rotation-Invariance Approximation and Learning
C. Chui
Shao-Bo Lin
Ding-Xuan Zhou
233
36
0
03 Apr 2019
1
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