Variational Encoder Decoder

Models of neural machine translation are of- ten from a discriminative family of encoder- decoders that learn a conditional distribution of a target sentence given a source sentence. In this …...

AbstractDomain Adaptation arises when we aim at learning from source domain a model that can perform acceptably well on a different target domain. It is especially crucial for Natural Language …...

AbstractThe variational encoder-decoder (VED) encodes source information as a set of random variables using a neural network, which in turn is decoded into target data using another neural network. In …...