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Mix-n-Match: Ensemble and Compositional Methods for Uncertainty
  Calibration in Deep Learning

Mix-n-Match: Ensemble and Compositional Methods for Uncertainty Calibration in Deep Learning

16 March 2020
Jize Zhang
B. Kailkhura
T. Y. Han
    UQCV
ArXivPDFHTML

Papers citing "Mix-n-Match: Ensemble and Compositional Methods for Uncertainty Calibration in Deep Learning"

1 / 51 papers shown
Title
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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