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Learning Parities with Neural Networks

Learning Parities with Neural Networks

18 February 2020
Amit Daniely
Eran Malach
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Papers citing "Learning Parities with Neural Networks"

5 / 55 papers shown
Title
Particle Dual Averaging: Optimization of Mean Field Neural Networks with
  Global Convergence Rate Analysis
Particle Dual Averaging: Optimization of Mean Field Neural Networks with Global Convergence Rate Analysis
Atsushi Nitanda
Denny Wu
Taiji Suzuki
6
29
0
31 Dec 2020
Computational Separation Between Convolutional and Fully-Connected
  Networks
Computational Separation Between Convolutional and Fully-Connected Networks
Eran Malach
Shai Shalev-Shwartz
16
26
0
03 Oct 2020
When Hardness of Approximation Meets Hardness of Learning
When Hardness of Approximation Meets Hardness of Learning
Eran Malach
Shai Shalev-Shwartz
14
9
0
18 Aug 2020
The Effects of Mild Over-parameterization on the Optimization Landscape
  of Shallow ReLU Neural Networks
The Effects of Mild Over-parameterization on the Optimization Landscape of Shallow ReLU Neural Networks
Itay Safran
Gilad Yehudai
Ohad Shamir
84
34
0
01 Jun 2020
Neural Networks Learning and Memorization with (almost) no
  Over-Parameterization
Neural Networks Learning and Memorization with (almost) no Over-Parameterization
Amit Daniely
8
33
0
22 Nov 2019
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