Ordered Memory
Published in arXiv (Cornell University) • Oct 29, 2019
Authors:,,
Yikang Shen
Shawn Tan
Arian Hosseini
Abstract
Stack-augmented recurrent neural networks (RNNs) have been of interest to the deep learning community for some time. However, the difficulty of training memory models remains a problem obstructing the widespread use of such models. In this paper, we propose the Ordered Memory architecture. Inspired ...
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