Generating text via adversarial training

Y Zhang; Z Gan; L Carin

Generating text via adversarial training

Y Zhang, Z Gan, L Carin

Research output: Contribution to journal › Article › peer-review

Abstract

Abstract Generative Adversarial Networks (GANs) have achieved great success in generating realistic synthetic real-valued data. However, the discrete output of language model hinders the application of gradient-based GANs. In this paper we propose a generic …

Original language	Undefined/Unknown
Journal	NIPS workshop on Adversarial Training
State	Published - 2016
Externally published	Yes

Access to Document

https://www.academia.edu/download/52317881/_NIPS.2016.workshop_Generating_Text_via_Adversarial_Training.pdf

Cite this

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title = "Generating text via adversarial training",

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