BriefGPT.xyz
Jun, 2018
用于无条件词语生成的深度状态空间模型
Deep State Space Models for Unconditional Word Generation
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Florian Schmidt, Thomas Hofmann
TL;DR
该研究提出了一种基于深度状态空间模型、独立噪声源和确定性转移函数的文本生成方法，避免自回归反馈引入的系统偏差，并通过流式变分推断进行训练，实现了高度解释性的生成模型。
Abstract
autoregressive feedback
is considered a necessity for successful unconditional
text generation
using
stochastic sequence models
. However,
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