14 citations · 23 across the 10 of their papers we have counts for
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cs.NE2017★ 4 cited
Simplified Gating in Long Short-term Memory (LSTM) Recurrent Neural Networks
Yuzhen Lu, Fathi M. Salem
The standard LSTM recurrent neural networks while very powerful in long-range dependency sequence applications have highly complex structure and relatively large (adaptive) paramet…
cs.NE2016★ 1 cited
Empirical Evaluation of A New Approach to Simplifying Long Short-term Memory (LSTM)
Yuzhen Lu
The standard LSTM, although it succeeds in the modeling long-range dependences, suffers from a highly complex structure that can be simplified through modifications to its gate uni…