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Deep Learning without Poor Local Minima

Deep Learning without Poor Local Minima

23 May 2016
Kenji Kawaguchi
    ODL
ArXivPDFHTML

Papers citing "Deep Learning without Poor Local Minima"

14 / 14 papers shown
Title
Stacking as Accelerated Gradient Descent
Stacking as Accelerated Gradient Descent
Naman Agarwal
Pranjal Awasthi
Satyen Kale
Eric Zhao
ODL
87
2
0
20 Feb 2025
Mean-Field Analysis for Learning Subspace-Sparse Polynomials with Gaussian Input
Mean-Field Analysis for Learning Subspace-Sparse Polynomials with Gaussian Input
Ziang Chen
Rong Ge
MLT
84
1
0
10 Jan 2025
AdaRankGrad: Adaptive Gradient-Rank and Moments for Memory-Efficient LLMs Training and Fine-Tuning
AdaRankGrad: Adaptive Gradient-Rank and Moments for Memory-Efficient LLMs Training and Fine-Tuning
Yehonathan Refael
Jonathan Svirsky
Boris Shustin
Wasim Huleihel
Ofir Lindenbaum
61
3
0
31 Dec 2024
Measuring and Controlling Solution Degeneracy across Task-Trained Recurrent Neural Networks
Measuring and Controlling Solution Degeneracy across Task-Trained Recurrent Neural Networks
Ann Huang
Satpreet H. Singh
Flavio Martinelli
Kanaka Rajan
47
0
0
04 Oct 2024
Loss Landscape of Shallow ReLU-like Neural Networks: Stationary Points, Saddle Escape, and Network Embedding
Loss Landscape of Shallow ReLU-like Neural Networks: Stationary Points, Saddle Escape, and Network Embedding
Zhengqing Wu
Berfin Simsek
Francois Ged
ODL
61
0
0
08 Feb 2024
Critical Influence of Overparameterization on Sharpness-aware Minimization
Critical Influence of Overparameterization on Sharpness-aware Minimization
Sungbin Shin
Dongyeop Lee
Maksym Andriushchenko
Namhoon Lee
AAML
69
1
0
29 Nov 2023
SGD for Structured Nonconvex Functions: Learning Rates, Minibatching and
  Interpolation
SGD for Structured Nonconvex Functions: Learning Rates, Minibatching and Interpolation
Robert Mansel Gower
Othmane Sebbouh
Nicolas Loizou
57
75
0
18 Jun 2020
An Analysis of Constant Step Size SGD in the Non-convex Regime:
  Asymptotic Normality and Bias
An Analysis of Constant Step Size SGD in the Non-convex Regime: Asymptotic Normality and Bias
Lu Yu
Krishnakumar Balasubramanian
S. Volgushev
Murat A. Erdogdu
65
50
0
14 Jun 2020
Beyond Random Matrix Theory for Deep Networks
Beyond Random Matrix Theory for Deep Networks
Diego Granziol
62
16
0
13 Jun 2020
An Analytical Formula of Population Gradient for two-layered ReLU
  network and its Applications in Convergence and Critical Point Analysis
An Analytical Formula of Population Gradient for two-layered ReLU network and its Applications in Convergence and Critical Point Analysis
Yuandong Tian
MLT
90
216
0
02 Mar 2017
Deep Semi-Random Features for Nonlinear Function Approximation
Deep Semi-Random Features for Nonlinear Function Approximation
Kenji Kawaguchi
Bo Xie
Vikas Verma
Le Song
104
15
0
28 Feb 2017
Exponentially vanishing sub-optimal local minima in multilayer neural
  networks
Exponentially vanishing sub-optimal local minima in multilayer neural networks
Daniel Soudry
Elad Hoffer
93
97
0
19 Feb 2017
Asynchronous Stochastic Gradient Descent with Delay Compensation
Asynchronous Stochastic Gradient Descent with Delay Compensation
Shuxin Zheng
Qi Meng
Taifeng Wang
Wei Chen
Nenghai Yu
Zhiming Ma
Tie-Yan Liu
75
313
0
27 Sep 2016
Exact solutions to the nonlinear dynamics of learning in deep linear
  neural networks
Exact solutions to the nonlinear dynamics of learning in deep linear neural networks
Andrew M. Saxe
James L. McClelland
Surya Ganguli
ODL
93
1,830
0
20 Dec 2013
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