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A Reparameterization-Invariant Flatness Measure for Deep Neural Networks

A Reparameterization-Invariant Flatness Measure for Deep Neural Networks

29 November 2019
Henning Petzka
Linara Adilova
Michael Kamp
C. Sminchisescu
    ODL
ArXiv (abs)PDFHTML

Papers citing "A Reparameterization-Invariant Flatness Measure for Deep Neural Networks"

4 / 4 papers shown
Title
Reparameterization invariance in approximate Bayesian inference
Reparameterization invariance in approximate Bayesian inference
Hrittik Roy
M. Miani
Carl Henrik Ek
Philipp Hennig
Marvin Pfortner
Lukas Tatzel
Søren Hauberg
BDL
90
9
0
05 Jun 2024
An Investigation into Neural Net Optimization via Hessian Eigenvalue
  Density
An Investigation into Neural Net Optimization via Hessian Eigenvalue Density
Behrooz Ghorbani
Shankar Krishnan
Ying Xiao
ODL
83
326
0
29 Jan 2019
Sensitivity and Generalization in Neural Networks: an Empirical Study
Sensitivity and Generalization in Neural Networks: an Empirical Study
Roman Novak
Yasaman Bahri
Daniel A. Abolafia
Jeffrey Pennington
Jascha Narain Sohl-Dickstein
AAML
95
441
0
23 Feb 2018
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp
  Minima
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
N. Keskar
Dheevatsa Mudigere
J. Nocedal
M. Smelyanskiy
P. T. P. Tang
ODL
429
2,945
0
15 Sep 2016
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