Bayesian approaches with stochastic attention have been noted to be quite effective at modeling ambiguity as well as avoiding over-fitting scenarios especially in the case of small training data sets (Miao et al., 2016).
we assume a latent representation h learned from the multiple modalities in X which is then mapped to the label space Y .