16 citations · 26 across the 5 of their papers we have counts for
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cs.LG2021★ 3 cited
Learning Multimodal VAEs through Mutual Supervision
Tom Joy, Yuge Shi, Philip H. S. Torr +3
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 w…
cs.LG2020★ 6 cited
Capturing Label Characteristics in VAEs
Tom Joy, Sebastian M. Schmon, Philip H. S. Torr +2
We present a principled approach to incorporating labels in VAEs that captures the rich characteristic information associated with those labels. While prior work has typically conf…