2017
Factorized Variational Autoencoders for Modeling Audience Reactions to Movies
CVPR 2017poster
Matrix and tensor factorization methods are often used for finding underlying low-dimensional patterns from noisy data. In this paper, we study non-linear tensor factoriza- tion methods based on deep variational autoencoders. Our approach is well-suited for settings where the relationship between th…