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Structured Ensembles: an Approach to Reduce the Memory Footprint of
  Ensemble Methods

Structured Ensembles: an Approach to Reduce the Memory Footprint of Ensemble Methods

6 May 2021
Jary Pomponi
Simone Scardapane
A. Uncini
    UQCV
ArXivPDFHTML

Papers citing "Structured Ensembles: an Approach to Reduce the Memory Footprint of Ensemble Methods"

3 / 3 papers shown
Title
Continual Learning with Invertible Generative Models
Continual Learning with Invertible Generative Models
Jary Pomponi
Simone Scardapane
A. Uncini
BDL
48
3
0
11 Feb 2022
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
268
5,660
0
05 Dec 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
247
9,134
0
06 Jun 2015
1