Inspired by the coattention mechanism , we propose an attention-based inferer (ABI) to estimate the mean and standard deviation of a distribution belongs to p θ (•) or q φ (•) by capturing semantic interactions of input sequences.
given two input sequences (e.g., representations of contexts and events) a = {a 1 , .