Hareesh Bahuleyan

Stochastic Wasserstein Autoencoder for Probabilistic Sentence Generation

2018 · arXiv (Cornell University)

The variational autoencoder (VAE) imposes a probabilistic distribution (typically Gaussian) on the latent space and penalizes the Kullback--Leibler (KL) divergence between the posterior and prior. In NLP, VAEs are extremely difficult to train due to …

Disentangled Representation Learning for Non-Parallel Text Style Transfer

2019

This paper tackles the problem of disentangling the latent representations of style and content in language models. We propose a simple yet effective approach, which incorporates auxiliary multi-task and adversarial objectives, for style prediction and …