3.7k citations · 11.8k across the 85 of their papers we have counts for
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cs.NE2016★ 55 cited
Recurrent Orthogonal Networks and Long-Memory Tasks
Mikael Henaff, Arthur Szlam, Yann LeCun
Although RNNs have been shown to be powerful tools for processing sequential data, finding architectures or optimization strategies that allow them to model very long term dependen…
cs.NE2015★ 665 cited
End-To-End Memory Networks
Sainbayar Sukhbaatar, Arthur Szlam, Jason Weston +1
We introduce a neural network with a recurrent attention model over a possibly large external memory. The architecture is a form of Memory Network (Weston et al., 2015) but unlike…