251 citations · 833 across the 13 of their papers we have counts for
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stat.ML2015★ 251 cited
Adding Gradient Noise Improves Learning for Very Deep Networks
Arvind Neelakantan, Luke Vilnis, Quoc V. Le +4
Deep feedforward and recurrent networks have achieved impressive results in many perception and language processing applications. This success is partially attributed to architectu…
cs.LG2015★ 14 cited
Neural Random-Access Machines
Karol Kurach, Marcin Andrychowicz, Ilya Sutskever
In this paper, we propose and investigate a new neural network architecture called Neural Random Access Machine. It can manipulate and dereference pointers to an external variable-…