Papers by Runzhi Tian
Learning VAE-LDA Models with Rounded Reparameterization Trick (2020.emnlp-main)
Copied to clipboard
| Challenge: | No reparameterization form of Dirichlet distributions is known to date for topic models . |
| Approach: | They propose a method to reparameterize Dirichlet distributions for the learning of VAE-LDA models by using a latent Dirichlets prior. |
| Outcome: | The proposed method outperforms existing neural topic models on benchmark datasets and on a synthetic dataset. |