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Something for (almost) nothing: Improving deep ensemble calibration
  using unlabeled data

Something for (almost) nothing: Improving deep ensemble calibration using unlabeled data

4 October 2023
Konstantinos Pitas
Julyan Arbel
    BDL
    UQCV
    FedML
ArXivPDFHTML

Papers citing "Something for (almost) nothing: Improving deep ensemble calibration using unlabeled data"

3 / 3 papers shown
Title
Combining Diverse Feature Priors
Combining Diverse Feature Priors
Saachi Jain
Dimitris Tsipras
A. Madry
51
14
0
15 Oct 2021
Second Order PAC-Bayesian Bounds for the Weighted Majority Vote
Second Order PAC-Bayesian Bounds for the Weighted Majority Vote
A. Masegosa
S. Lorenzen
Christian Igel
Yevgeny Seldin
24
40
0
01 Jul 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
268
5,652
0
05 Dec 2016
1