A Neural Autoregressive Topic Model

  title={A Neural Autoregressive Topic Model},
  author={Hugo Larochelle and Stanislas Lauly},
We describe a new model for learning meaningful representations of text documents from an unlabeled collection of documents. This model is inspired by the recently proposed Replicated Softmax, an undirected graphical model of word counts that was shown to learn a better generative model and more meaningful document representations. Specifically, we take inspiration from the conditional mean-field recursive equations of the Replicated Softmax in order to define a neural network architecture that… CONTINUE READING
Highly Influential
This paper has highly influenced 15 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 149 citations. REVIEW CITATIONS

4 Figures & Tables



Citations per Year

150 Citations

Semantic Scholar estimates that this publication has 150 citations based on the available data.

See our FAQ for additional information.