Neural Variational Inference
Related Papers
Piecewise Latent Variables for Neural Variational Text Processing
AbstractAdvances in neural variational inference have facilitated the learning of powerful directed graphical models with continuous latent variables, such as variational autoencoders. The hope is that such models will learn …...
Interaction-Aware Topic Model for Microblog Conversations through Network Embedding and User Attention
AbstractTraditional topic models are insufficient for topic extraction in social media. The existing methods only consider text information or simultaneously model the posts and the static characteristics of social media. …...
Neural Topic Model with Reinforcement Learning
AbstractIn recent years, advances in neural variational inference have achieved many successes in text processing. Examples include neural topic models which are typically built upon variational autoencoder (VAE) with an …...
Neural Mixed Counting Models for Dispersed Topic Discovery
AbstractMixed counting models that use the negative binomial distribution as the prior can well model over-dispersed and hierarchically dependent random variables; thus they have attracted much attention in mining dispersed …...