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On the Calibration of Probabilistic Classifier Sets

On the Calibration of Probabilistic Classifier Sets

20 May 2022
Thomas Mortier
Viktor Bengs
Eyke Hüllermeier
Stijn Luca
Willem Waegeman
    UQCV
ArXivPDFHTML

Papers citing "On the Calibration of Probabilistic Classifier Sets"

4 / 4 papers shown
Title
Conformal Prediction Regions are Imprecise Highest Density Regions
Conformal Prediction Regions are Imprecise Highest Density Regions
Michele Caprio
Yusuf Sale
Eyke Hüllermeier
64
0
0
10 Feb 2025
Conformalized Credal Regions for Classification with Ambiguous Ground Truth
Conformalized Credal Regions for Classification with Ambiguous Ground Truth
Michele Caprio
David Stutz
Shuo Li
Arnaud Doucet
UQCV
64
4
0
07 Nov 2024
Legitimate ground-truth-free metrics for deep uncertainty classification scoring
Legitimate ground-truth-free metrics for deep uncertainty classification scoring
Arthur Pignet
Chiara Regniez
John Klein
69
1
0
30 Oct 2024
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
273
5,660
0
05 Dec 2016
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