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Overcoming Common Flaws in the Evaluation of Selective Classification
  Systems

Overcoming Common Flaws in the Evaluation of Selective Classification Systems

1 July 2024
Jeremias Traub
Till J. Bungert
Carsten T. Lüth
Michael Baumgartner
Klaus H. Maier-Hein
Lena Maier-Hein
Paul F. Jaeger
ArXivPDFHTML

Papers citing "Overcoming Common Flaws in the Evaluation of Selective Classification Systems"

2 / 2 papers shown
Title
A Novel Characterization of the Population Area Under the Risk Coverage Curve (AURC) and Rates of Finite Sample Estimators
A Novel Characterization of the Population Area Under the Risk Coverage Curve (AURC) and Rates of Finite Sample Estimators
Han Zhou
Jordy Van Landeghem
Teodora Popordanoska
Matthew B. Blaschko
44
0
0
20 Oct 2024
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
1