334 citations · 2.2k across the 37 of their papers we have counts for
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cs.NE2017★ 60 cited
Dynamic Evaluation of Neural Sequence Models
Ben Krause, Emmanuel Kahembwe, Iain Murray +1
We present methodology for using dynamic evaluation to improve neural sequence models. Models are adapted to recent history via a gradient descent based mechanism, causing them to…
cs.NE2016★ 86 cited
Multiplicative LSTM for sequence modelling
Ben Krause, Liang Lu, Iain Murray +1
We introduce multiplicative LSTM (mLSTM), a recurrent neural network architecture for sequence modelling that combines the long short-term memory (LSTM) and multiplicative recurren…