The cost of annotating training data has traditionally been a bottleneck...
Variational Auto-Encoders (VAEs) have been widely applied for learning
c...
Variational Auto-Encoders (VAEs) are capable of learning latent
represen...
Variational inference transforms posterior inference into parametric
opt...
In recent years, Variational Autoencoders (VAEs) have been shown to be h...
Developing conversational agents to engage in complex dialogues is
chall...
We consider the problem of consistently matching multiple sets of elemen...