BriefGPT.xyz
Jun, 2017
基于循环生成对抗网络的语言生成,无需预训练
Language Generation with Recurrent Generative Adversarial Networks without Pre-training
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Ofir Press, Amir Bar, Ben Bogin, Jonathan Berant, Lior Wolf
TL;DR
本文提出一种利用课程学习和逐步教授RNN编写难度递增且长度可变的序列的方法,从而使其能够使用GANs生成文本。
Abstract
generative adversarial networks
(
gans
) have shown great promise recently in image generation. Training
gans
for text generation has proven
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