Adversarial Generation of Natural Language

WS 2017 Sai RajeswarSandeep SubramanianFrancis DutilChristopher PalAaron Courville

Generative Adversarial Networks (GANs) have gathered a lot of attention from the computer vision community, yielding impressive results for image generation. Advances in the adversarial generation of natural language from noise however are not commensurate with the progress made in generating images, and still lag far behind likelihood based methods... (read more)

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