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Hardness of Learning Neural Networks with Natural Weights

Hardness of Learning Neural Networks with Natural Weights

5 June 2020
Amit Daniely
Gal Vardi
ArXivPDFHTML

Papers citing "Hardness of Learning Neural Networks with Natural Weights"

8 / 8 papers shown
Title
On the average-case complexity of learning output distributions of
  quantum circuits
On the average-case complexity of learning output distributions of quantum circuits
A. Nietner
M. Ioannou
R. Sweke
R. Kueng
Jens Eisert
M. Hinsche
J. Haferkamp
36
11
0
09 May 2023
Computational Complexity of Learning Neural Networks: Smoothness and
  Degeneracy
Computational Complexity of Learning Neural Networks: Smoothness and Degeneracy
Amit Daniely
Nathan Srebro
Gal Vardi
38
4
0
15 Feb 2023
Learning Single-Index Models with Shallow Neural Networks
Learning Single-Index Models with Shallow Neural Networks
A. Bietti
Joan Bruna
Clayton Sanford
M. Song
170
68
0
27 Oct 2022
Hardness of Noise-Free Learning for Two-Hidden-Layer Neural Networks
Hardness of Noise-Free Learning for Two-Hidden-Layer Neural Networks
Sitan Chen
Aravind Gollakota
Adam R. Klivans
Raghu Meka
35
30
0
10 Feb 2022
Efficiently Learning Any One Hidden Layer ReLU Network From Queries
Efficiently Learning Any One Hidden Layer ReLU Network From Queries
Sitan Chen
Adam R. Klivans
Raghu Meka
MLAU
MLT
45
8
0
08 Nov 2021
From Local Pseudorandom Generators to Hardness of Learning
From Local Pseudorandom Generators to Hardness of Learning
Amit Daniely
Gal Vardi
109
30
0
20 Jan 2021
Learning Deep ReLU Networks Is Fixed-Parameter Tractable
Learning Deep ReLU Networks Is Fixed-Parameter Tractable
Sitan Chen
Adam R. Klivans
Raghu Meka
22
36
0
28 Sep 2020
Superpolynomial Lower Bounds for Learning One-Layer Neural Networks
  using Gradient Descent
Superpolynomial Lower Bounds for Learning One-Layer Neural Networks using Gradient Descent
Surbhi Goel
Aravind Gollakota
Zhihan Jin
Sushrut Karmalkar
Adam R. Klivans
MLT
ODL
24
70
0
22 Jun 2020
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