A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text

EMNLP/IJCNLP (1), pp. 3601-3612, 2019.

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Abstract:

When trained effectively, the Variational Autoencoder (VAE) is both a powerful language model and an effective representation learning framework. In practice, however, VAEs are trained with the evidence lower bound (ELBO) as a surrogate objective to the intractable marginal data likelihood. This approach to training yields unstable resu...More

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