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Deep Network Approximation in Terms of Intrinsic Parameters

Deep Network Approximation in Terms of Intrinsic Parameters

15 November 2021
Zuowei Shen
Haizhao Yang
Shijun Zhang
ArXivPDFHTML

Papers citing "Deep Network Approximation in Terms of Intrinsic Parameters"

4 / 4 papers shown
Title
Learning Lipschitz Functions by GD-trained Shallow Overparameterized
  ReLU Neural Networks
Learning Lipschitz Functions by GD-trained Shallow Overparameterized ReLU Neural Networks
Ilja Kuzborskij
Csaba Szepesvári
21
4
0
28 Dec 2022
Optimal Approximation Rate of ReLU Networks in terms of Width and Depth
Optimal Approximation Rate of ReLU Networks in terms of Width and Depth
Zuowei Shen
Haizhao Yang
Shijun Zhang
101
115
0
28 Feb 2021
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
950
20,567
0
17 Apr 2017
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
266
7,636
0
03 Jul 2012
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