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Neural Networks with Small Weights and Depth-Separation Barriers

Neural Networks with Small Weights and Depth-Separation Barriers

31 May 2020
Gal Vardi
Ohad Shamir
ArXivPDFHTML

Papers citing "Neural Networks with Small Weights and Depth-Separation Barriers"

6 / 6 papers shown
Title
On Algebraic Constructions of Neural Networks with Small Weights
On Algebraic Constructions of Neural Networks with Small Weights
Kordag Mehmet Kilic
Jin Sima
J. Bruck
27
2
0
17 May 2022
Optimization-Based Separations for Neural Networks
Optimization-Based Separations for Neural Networks
Itay Safran
Jason D. Lee
197
14
0
04 Dec 2021
Depth separation beyond radial functions
Depth separation beyond radial functions
Luca Venturi
Samy Jelassi
Tristan Ozuch
Joan Bruna
25
15
0
02 Feb 2021
The Connection Between Approximation, Depth Separation and Learnability
  in Neural Networks
The Connection Between Approximation, Depth Separation and Learnability in Neural Networks
Eran Malach
Gilad Yehudai
Shai Shalev-Shwartz
Ohad Shamir
21
20
0
31 Jan 2021
Size and Depth Separation in Approximating Benign Functions with Neural
  Networks
Size and Depth Separation in Approximating Benign Functions with Neural Networks
Gal Vardi
Daniel Reichman
T. Pitassi
Ohad Shamir
28
7
0
30 Jan 2021
Benefits of depth in neural networks
Benefits of depth in neural networks
Matus Telgarsky
153
603
0
14 Feb 2016
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