Papers with modality-prediction

1 papers
Multimodal Routing: Improving Local and Global Interpretability of Multimodal Language Analysis (2020.emnlp-main)

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Challenge: Recent multimodal learning models with strong performances on human-centric tasks are often black-box with very limited interpretability.
Approach: They propose a multimodal routing algorithm which dynamically adjusts weights between input and output modalities for each input sample.
Outcome: The proposed model can interpret modality-prediction relationships globally and locally for each input sample while keeping competitive performance compared to state-of-the-art methods.

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