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What is Your Metric Telling You? Evaluating Classifier Calibration under
  Context-Specific Definitions of Reliability

What is Your Metric Telling You? Evaluating Classifier Calibration under Context-Specific Definitions of Reliability

23 May 2022
John Kirchenbauer
Jacob Oaks
Eric Heim
    UQCV
ArXivPDFHTML

Papers citing "What is Your Metric Telling You? Evaluating Classifier Calibration under Context-Specific Definitions of Reliability"

2 / 2 papers shown
Title
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
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
247
9,109
0
06 Jun 2015
1