Papers by Torsten Wörtwein

1 papers
Beyond Additive Fusion: Learning Non-Additive Multimodal Interactions (2022.findings-emnlp)

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Challenge: Multimodal fusion addresses the problem of analyzing spoken words in the multimodal context, including visual expressions and prosodic cues.
Approach: They propose to use multimodal fusion to separate unimodal, bimodal, and trimodal interactions in a multimodal model.
Outcome: The proposed model separates unimodal, bimodal, and trimodal interactions while not degrading predictive performance.

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