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Fast Jacobian-Vector Product for Deep Networks

Fast Jacobian-Vector Product for Deep Networks

1 April 2021
Randall Balestriero
Richard Baraniuk
ArXivPDFHTML

Papers citing "Fast Jacobian-Vector Product for Deep Networks"

3 / 3 papers shown
Title
On the adaptation of recurrent neural networks for system identification
On the adaptation of recurrent neural networks for system identification
Marco Forgione
Aneri Muni
Dario Piga
Marco Gallieri
27
18
0
21 Jan 2022
Piecewise convexity of artificial neural networks
Piecewise convexity of artificial neural networks
Blaine Rister
Daniel L Rubin
AAML
ODL
28
31
0
17 Jul 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,138
0
06 Jun 2015
1