Condition-Transforming Variational AutoEncoder for Conversation Response Generation

24 Apr 2019Yu-Ping RuanZhen-Hua LingQuan LiuZhigang ChenNitin Indurkhya

This paper proposes a new model, called condition-transforming variational autoencoder (CTVAE), to improve the performance of conversation response generation using conditional variational autoencoders (CVAEs). In conventional CVAEs , the prior distribution of latent variable z follows a multivariate Gaussian distribution with mean and variance modulated by the input conditions... (read more)

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