Modality Weighting in Multimodal Variational Autoencoders

Learning the same subject from different sources is known as multimodal learning in the machine learning literature. In this approach some of the modalities may be more reliable than others and we may want to learn them more to a better understanding of the subject. In this study, we propose weighti...

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Bibliographic Details

Published in:	Innovations in Intelligent Systems and Applications Conference (Online) pp. 1 - 6
Main Authors:	Yegin, Melike Nur, Amasyali, Mehmet Fatih
Format:	Conference Proceeding
Language:	English
Published:	IEEE 07.09.2022
Subjects:	Intelligent systems Jacobian matrices Lenses Machine learning Mixture of experts Multimodal learning Multimodal variational autoencoders Optimization Product of experts Reliability Technological innovation Variational autoencoders
ISSN:	2770-7946
Online Access:	Get full text
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