Papers by Philip Woodland

1 papers
Estimating the Uncertainty in Emotion Attributes using Deep Evidential Regression (2023.acl-long)

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Challenge: Existing methods to predict human emotions are inconsistent due to complexity of emotion and subjectivity of perception.
Approach: They propose a Bayesian approach to estimate uncertainty in emotion attributes using a deep neural network model.
Outcome: The proposed approach estimates uncertainty in emotion attributes along with aleatoric and epistemic uncertainties.

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