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Spurious Local Minima are Common in Two-Layer ReLU Neural Networks

Spurious Local Minima are Common in Two-Layer ReLU Neural Networks

24 December 2017
Itay Safran
Ohad Shamir
ArXivPDFHTML

Papers citing "Spurious Local Minima are Common in Two-Layer ReLU Neural Networks"

12 / 62 papers shown
Title
Learning Two-layer Neural Networks with Symmetric Inputs
Learning Two-layer Neural Networks with Symmetric Inputs
Rong Ge
Rohith Kuditipudi
Zhize Li
Xiang Wang
OOD
MLT
28
57
0
16 Oct 2018
A Convergence Analysis of Gradient Descent for Deep Linear Neural
  Networks
A Convergence Analysis of Gradient Descent for Deep Linear Neural Networks
Sanjeev Arora
Nadav Cohen
Noah Golowich
Wei Hu
18
281
0
04 Oct 2018
Gradient Descent Provably Optimizes Over-parameterized Neural Networks
Gradient Descent Provably Optimizes Over-parameterized Neural Networks
S. Du
Xiyu Zhai
Barnabás Póczós
Aarti Singh
MLT
ODL
38
1,250
0
04 Oct 2018
Learning ReLU Networks on Linearly Separable Data: Algorithm,
  Optimality, and Generalization
Learning ReLU Networks on Linearly Separable Data: Algorithm, Optimality, and Generalization
G. Wang
G. Giannakis
Jie Chen
MLT
24
131
0
14 Aug 2018
Model Reconstruction from Model Explanations
Model Reconstruction from Model Explanations
S. Milli
Ludwig Schmidt
Anca Dragan
Moritz Hardt
FAtt
19
177
0
13 Jul 2018
Learning One-hidden-layer ReLU Networks via Gradient Descent
Learning One-hidden-layer ReLU Networks via Gradient Descent
Xiao Zhang
Yaodong Yu
Lingxiao Wang
Quanquan Gu
MLT
28
134
0
20 Jun 2018
The committee machine: Computational to statistical gaps in learning a
  two-layers neural network
The committee machine: Computational to statistical gaps in learning a two-layers neural network
Benjamin Aubin
Antoine Maillard
Jean Barbier
Florent Krzakala
N. Macris
Lenka Zdeborová
41
104
0
14 Jun 2018
How Many Samples are Needed to Estimate a Convolutional or Recurrent
  Neural Network?
How Many Samples are Needed to Estimate a Convolutional or Recurrent Neural Network?
S. Du
Yining Wang
Xiyu Zhai
Sivaraman Balakrishnan
Ruslan Salakhutdinov
Aarti Singh
SSL
13
57
0
21 May 2018
Improved Learning of One-hidden-layer Convolutional Neural Networks with
  Overlaps
Improved Learning of One-hidden-layer Convolutional Neural Networks with Overlaps
S. Du
Surbhi Goel
MLT
20
17
0
20 May 2018
The Global Optimization Geometry of Shallow Linear Neural Networks
The Global Optimization Geometry of Shallow Linear Neural Networks
Zhihui Zhu
Daniel Soudry
Yonina C. Eldar
M. Wakin
ODL
18
36
0
13 May 2018
Learning Compact Neural Networks with Regularization
Learning Compact Neural Networks with Regularization
Samet Oymak
MLT
38
39
0
05 Feb 2018
Theoretical insights into the optimization landscape of
  over-parameterized shallow neural networks
Theoretical insights into the optimization landscape of over-parameterized shallow neural networks
Mahdi Soltanolkotabi
Adel Javanmard
J. Lee
36
415
0
16 Jul 2017
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