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Estimating the Uncertainty in Emotion Class Labels with
  Utterance-Specific Dirichlet Priors

Estimating the Uncertainty in Emotion Class Labels with Utterance-Specific Dirichlet Priors

8 March 2022
Wen Wu
C. Zhang
Xixin Wu
P. Woodland
ArXivPDFHTML

Papers citing "Estimating the Uncertainty in Emotion Class Labels with Utterance-Specific Dirichlet Priors"

9 / 9 papers shown
Title
Confidence Estimation for Automatic Detection of Depression and
  Alzheimer's Disease Based on Clinical Interviews
Confidence Estimation for Automatic Detection of Depression and Alzheimer's Disease Based on Clinical Interviews
Wen Wu
C. Zhang
P. Woodland
21
1
0
29 Jul 2024
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
Oliver Schrufer
M. Milling
Felix Burkhardt
F. Eyben
Björn Schuller
25
3
0
01 Jul 2024
Bayesian WeakS-to-Strong from Text Classification to Generation
Bayesian WeakS-to-Strong from Text Classification to Generation
Ziyun Cui
Ziyang Zhang
Wen Wu
Wen Wu
Chao Zhang
23
1
0
24 May 2024
Fusion approaches for emotion recognition from speech using acoustic and
  text-based features
Fusion approaches for emotion recognition from speech using acoustic and text-based features
L. Pepino
Pablo Riera
Luciana Ferrer
Agustin Gravano
35
48
0
27 Mar 2024
It HAS to be Subjective: Human Annotator Simulation via Zero-shot
  Density Estimation
It HAS to be Subjective: Human Annotator Simulation via Zero-shot Density Estimation
Wen Wu
Wenlin Chen
C. Zhang
P. Woodland
13
1
0
30 Sep 2023
Estimating the Uncertainty in Emotion Attributes using Deep Evidential
  Regression
Estimating the Uncertainty in Emotion Attributes using Deep Evidential Regression
Wen Wu
C. Zhang
P. Woodland
UQCV
UD
EDL
10
11
0
11 Jun 2023
Distribution-based Emotion Recognition in Conversation
Distribution-based Emotion Recognition in Conversation
Wen Wu
C. Zhang
P. Woodland
17
4
0
09 Nov 2022
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
5,635
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
245
9,042
0
06 Jun 2015
1