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Are you sure? Analysing Uncertainty Quantification Approaches for
  Real-world Speech Emotion Recognition

Are you sure? Analysing Uncertainty Quantification Approaches for Real-world Speech Emotion Recognition

1 July 2024
Oliver Schrufer
M. Milling
Felix Burkhardt
F. Eyben
Björn Schuller
ArXivPDFHTML

Papers citing "Are you sure? Analysing Uncertainty Quantification Approaches for Real-world Speech Emotion Recognition"

2 / 2 papers shown
Title
Single-model uncertainty quantification in neural network potentials
  does not consistently outperform model ensembles
Single-model uncertainty quantification in neural network potentials does not consistently outperform model ensembles
Aik Rui Tan
S. Urata
Samuel Goldman
Johannes C. B. Dietschreit
Rafael Gómez-Bombarelli
BDL
38
42
0
02 May 2023
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
9,145
0
06 Jun 2015
1