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Are Ensembles Getting Better all the Time?

Are Ensembles Getting Better all the Time?

29 November 2023
Pierre-Alexandre Mattei
Damien Garreau
    OOD
    FedML
ArXivPDFHTML

Papers citing "Are Ensembles Getting Better all the Time?"

4 / 4 papers shown
Title
Towards efficient feature sharing in MIMO architectures
Towards efficient feature sharing in MIMO architectures
Rémy Sun
Alexandre Ramé
Clément Masson
Nicolas Thome
Matthieu Cord
76
6
0
20 May 2022
MedMNIST v2 -- A large-scale lightweight benchmark for 2D and 3D
  biomedical image classification
MedMNIST v2 -- A large-scale lightweight benchmark for 2D and 3D biomedical image classification
Jiancheng Yang
Rui Shi
D. Wei
Zequan Liu
Lin Zhao
B. Ke
Hanspeter Pfister
Bingbing Ni
VLM
183
648
0
27 Oct 2021
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
276
5,661
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
285
9,138
0
06 Jun 2015
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