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Learning to update Auto-associative Memory in Recurrent Neural Networks
  for Improving Sequence Memorization

Learning to update Auto-associative Memory in Recurrent Neural Networks for Improving Sequence Memorization

19 September 2017
Wei Zhang
Bowen Zhou
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Papers citing "Learning to update Auto-associative Memory in Recurrent Neural Networks for Improving Sequence Memorization"

4 / 4 papers shown
Title
Hopfield Networks is All You Need
Hopfield Networks is All You Need
Hubert Ramsauer
Bernhard Schafl
Johannes Lehner
Philipp Seidl
Michael Widrich
...
David P. Kreil
Michael K Kopp
G. Klambauer
Johannes Brandstetter
Sepp Hochreiter
24
414
0
16 Jul 2020
Self-Attentive Associative Memory
Self-Attentive Associative Memory
Hung Le
T. Tran
Svetha Venkatesh
12
56
0
10 Feb 2020
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
271
5,329
0
05 Nov 2016
Deep Reinforcement Learning for Dialogue Generation
Deep Reinforcement Learning for Dialogue Generation
Jiwei Li
Will Monroe
Alan Ritter
Michel Galley
Jianfeng Gao
Dan Jurafsky
214
1,327
0
05 Jun 2016
1