Latent Normalizing Flows for Discrete Sequences
arXiv: Machine Learning, 2019.
Normalizing flows have been shown to be a powerful class of generative models for continuous random variables, giving both strong performance and the potential for non-autoregressive generation. These benefits are also desired when modeling discrete random variables such as text, but directly applying normalizing flows to discrete sequenc...More
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