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Revisiting the Evaluation of Uncertainty Estimation and Its Application
  to Explore Model Complexity-Uncertainty Trade-Off

Revisiting the Evaluation of Uncertainty Estimation and Its Application to Explore Model Complexity-Uncertainty Trade-Off

5 March 2019
Yukun Ding
Jinglan Liu
Jinjun Xiong
Yiyu Shi
ArXivPDFHTML

Papers citing "Revisiting the Evaluation of Uncertainty Estimation and Its Application to Explore Model Complexity-Uncertainty Trade-Off"

4 / 4 papers shown
Title
Which models are innately best at uncertainty estimation?
Which models are innately best at uncertainty estimation?
Ido Galil
Mohammed Dabbah
Ran El-Yaniv
UQCV
34
5
0
05 Jun 2022
Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep
  Learning
Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning
Arsenii Ashukha
Alexander Lyzhov
Dmitry Molchanov
Dmitry Vetrov
UQCV
FedML
38
314
0
15 Feb 2020
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
278
5,695
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
289
9,167
0
06 Jun 2015
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