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Wisdom of the Ensemble: Improving Consistency of Deep Learning Models

Wisdom of the Ensemble: Improving Consistency of Deep Learning Models

13 November 2020
Lijing Wang
Dipanjan Ghosh
Maria Teresa Gonzalez Diaz
Ahmed K. Farahat
M. Alam
Chetan Gupta
Jiangzhuo Chen
M. Marathe
ArXivPDFHTML

Papers citing "Wisdom of the Ensemble: Improving Consistency of Deep Learning Models"

5 / 5 papers shown
Title
Training Uncertainty-Aware Classifiers with Conformalized Deep Learning
Training Uncertainty-Aware Classifiers with Conformalized Deep Learning
Bat-Sheva Einbinder
Yaniv Romano
Matteo Sesia
Yanfei Zhou
UQCV
23
47
0
12 May 2022
Large scale distributed neural network training through online
  distillation
Large scale distributed neural network training through online distillation
Rohan Anil
Gabriel Pereyra
Alexandre Passos
Róbert Ormándi
George E. Dahl
Geoffrey E. Hinton
FedML
272
404
0
09 Apr 2018
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
270
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
285
9,136
0
06 Jun 2015
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
266
7,634
0
03 Jul 2012
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