Implementation for the paper: Learning VAE-LDA Models with Rounded Reparameterization Trick
Pytorch implementation for the paper: Learning VAE-LDA Models with Rounded Reparameterization Trick
python RRT.py
Tunable parameters:
-t # default=50 #number of topics
-e # default=150 # number of training epochs
-b # default=100 # training batch size
-l # default=0.001 # learning rate
-a # default=1.0 # Dirichlet prior parameter
-d #default=1e10 # Delta parameter for RRT
-lam # default=0.01 # Lambda parameter for RRT
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