Learning from Partially-Observed Multimodal Data with Variational Autoencoders

ICLR 2020 Anonymous

Learning from only partially-observed data for imputation has been an active research area. Despite promising progress on unimodal data imputation (e.g., image in-painting), models designed for multimodal data imputation are far from satisfactory... (read more)

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