2024
Unity by Diversity: Improved Representation Learning for Multimodal VAEs
NeurIPS 2024poster
Variational Autoencoders for multimodal data hold promise for many tasks in data analysis, such as representation learning, conditional generation, and imputation. Current architectures either share the encoder output, decoder input, or both across modalities to learn a shared representation. Such…