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Two-Level K-FAC Preconditioning for Deep Learning
v1v2v3 (latest)

Two-Level K-FAC Preconditioning for Deep Learning

1 November 2020
N. Tselepidis
Jonas Köhler
Antonio Orvieto
    ODL
ArXiv (abs)PDFHTML

Papers citing "Two-Level K-FAC Preconditioning for Deep Learning"

3 / 3 papers shown
Better Hessians Matter: Studying the Impact of Curvature Approximations in Influence Functions
Better Hessians Matter: Studying the Impact of Curvature Approximations in Influence Functions
Steve Hong
Runa Eschenhagen
Bruno Mlodozeniec
Richard Turner
TDI
259
0
0
27 Sep 2025
Analysis and Comparison of Two-Level KFAC Methods for Training Deep
  Neural Networks
Analysis and Comparison of Two-Level KFAC Methods for Training Deep Neural Networks
Abdoulaye Koroko
A. Anciaux-Sedrakian
I. B. Gharbia
Valérie Garès
M. Haddou
Quang-Huy Tran
251
0
0
31 Mar 2023
Efficient Approximations of the Fisher Matrix in Neural Networks using
  Kronecker Product Singular Value Decomposition
Efficient Approximations of the Fisher Matrix in Neural Networks using Kronecker Product Singular Value DecompositionESAIM Proceedings and Surveys (ESAIM Proc. Surv.), 2022
Abdoulaye Koroko
A. Anciaux-Sedrakian
I. B. Gharbia
Valérie Garès
M. Haddou
Quang-Huy Tran
434
8
0
25 Jan 2022
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