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Novel Uncertainty Framework for Deep Learning Ensembles

Novel Uncertainty Framework for Deep Learning Ensembles

9 April 2019
Tal Kachman
Michal Moshkovitz
Michal Rosen-Zvi
    UQCV
    OOD
    BDL
ArXivPDFHTML

Papers citing "Novel Uncertainty Framework for Deep Learning Ensembles"

4 / 4 papers shown
Title
Using Cooperative Game Theory to Prune Neural Networks
Using Cooperative Game Theory to Prune Neural Networks
M. Diaz-Ortiz
Benjamin Kempinski
Daphne Cornelisse
Yoram Bachrach
Tal Kachman
38
2
0
17 Nov 2023
Graceful Degradation and Related Fields
Graceful Degradation and Related Fields
J. Dymond
31
4
0
21 Jun 2021
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
9,145
0
06 Jun 2015
The Loss Surfaces of Multilayer Networks
The Loss Surfaces of Multilayer Networks
A. Choromańska
Mikael Henaff
Michaël Mathieu
Gerard Ben Arous
Yann LeCun
ODL
183
1,185
0
30 Nov 2014
1