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Label-wise Aleatoric and Epistemic Uncertainty Quantification

Label-wise Aleatoric and Epistemic Uncertainty Quantification

4 June 2024
Yusuf Sale
Paul Hofman
Timo Löhr
Lisa Wimmer
Thomas Nagler
Eyke Hüllermeier
    PER
    UD
    UQCV
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Papers citing "Label-wise Aleatoric and Epistemic Uncertainty Quantification"

6 / 6 papers shown
Title
An Axiomatic Assessment of Entropy- and Variance-based Uncertainty Quantification in Regression
An Axiomatic Assessment of Entropy- and Variance-based Uncertainty Quantification in Regression
Christopher Bülte
Yusuf Sale
Timo Löhr
Paul Hofman
Gitta Kutyniok
Eyke Hüllermeier
UD
65
0
0
25 Apr 2025
Robustness quantification: a new method for assessing the reliability of the predictions of a classifier
Robustness quantification: a new method for assessing the reliability of the predictions of a classifier
Adrián Detavernier
Jasper De Bock
UQCV
OOD
61
0
0
28 Mar 2025
Fine-Grained Uncertainty Quantification via Collisions
Fine-Grained Uncertainty Quantification via Collisions
Jesse Friedbaum
S. Adiga
Ravi Tandon
69
0
0
18 Nov 2024
Probabilistic Degeneracy Detection for Point-to-Plane Error Minimization
Probabilistic Degeneracy Detection for Point-to-Plane Error Minimization
Johan Hatleskog
Kostas Alexis
3DPC
47
0
0
14 Oct 2024
Bayesian Optimization with Conformal Prediction Sets
Bayesian Optimization with Conformal Prediction Sets
Samuel Stanton
Wesley J. Maddox
A. Wilson
40
24
0
22 Oct 2022
Prior and Posterior Networks: A Survey on Evidential Deep Learning
  Methods For Uncertainty Estimation
Prior and Posterior Networks: A Survey on Evidential Deep Learning Methods For Uncertainty Estimation
Dennis Ulmer
Christian Hardmeier
J. Frellsen
BDL
UQCV
UD
EDL
PER
48
48
0
06 Oct 2021
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