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Nov, 2017
Z-Forcing: 训练随机循环网络
Z-Forcing: Training Stochastic Recurrent Networks
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Anirudh Goyal, Alessandro Sordoni, Marc-Alexandre Côté, Nan Rosemary Ke, Yoshua Bengio
TL;DR
该论文提出一种基于随机循环模型的随机变量生成模型,通过反向递归神经网络实现变分推断优化,同时通过增加辅助成本来提高整体模型性能,并在多个数据集上进行实验表明该模型的效果优于以往算法。
Abstract
Many efforts have been devoted to training generative
latent variable models
with
autoregressive decoders
, such as recurrent neural networks (RNN).
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