Learning multimodal VAEs through mutual supervision
Multimodal VAEs seek to model the joint distribution over heterogeneous data (e.g.\ vision, language), whilst also capturing a shared representation across such modalities. Prior work has typically combined information from the modalities by reconciling idiosyncratic representations directly in the...
| Main Authors: | , , , , , |
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| Format: | Conference item |
| Language: | English |
| Published: |
OpenReview
2022
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