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Characterizing Sources of Uncertainty to Proxy Calibration and
  Disambiguate Annotator and Data Bias

Characterizing Sources of Uncertainty to Proxy Calibration and Disambiguate Annotator and Data Bias

20 September 2019
Asma Ghandeharioun
B. Eoff
Brendan Jou
Rosalind W. Picard
    UD
    UQCV
ArXivPDFHTML

Papers citing "Characterizing Sources of Uncertainty to Proxy Calibration and Disambiguate Annotator and Data Bias"

3 / 3 papers shown
Title
Implicit Visual Bias Mitigation by Posterior Estimate Sharpening of a Bayesian Neural Network
Rebecca S Stone
Nishant Ravikumar
A. Bulpitt
David C. Hogg
BDL
41
0
0
29 Mar 2023
A Survey of Uncertainty in Deep Neural Networks
A Survey of Uncertainty in Deep Neural Networks
J. Gawlikowski
Cedrique Rovile Njieutcheu Tassi
Mohsin Ali
Jongseo Lee
Matthias Humt
...
R. Roscher
Muhammad Shahzad
Wen Yang
R. Bamler
Xiaoxiang Zhu
BDL
UQCV
OOD
66
1,112
0
07 Jul 2021
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
1