Encouraging Sparsity in Neural Topic Modeling with Non-Mean-Field Inference.
Jiayao ChenRui WangJueying HeMark Junjie LiPublished in: ECML/PKDD (4) (2023)
Keyphrases
- topic modeling
- topic models
- variational inference
- latent dirichlet allocation
- belief networks
- loopy belief propagation
- bayesian inference
- exact inference
- text mining
- gibbs sampling
- text classification
- modeling framework
- collaborative filtering
- neural network
- bayesian networks
- latent topics
- latent variables
- markov random field
- text documents
- probabilistic model
- artificial intelligence
- high dimensional
- markov chain monte carlo
- probabilistic latent semantic analysis
- probabilistic inference
- belief propagation
- approximate inference
- generative model
- em algorithm
- pattern recognition
- real world