43 citations · 76 across the 2 of their papers we have counts for
2 papers
cs.CL2019★ 43 cited
Compression of Recurrent Neural Networks for Efficient Language Modeling
Artem M. Grachev, Dmitry I. Ignatov, Andrey V. Savchenko
Recurrent neural networks have proved to be an effective method for statistical language modeling. However, in practice their memory and run-time complexity are usually too large t…
stat.ML2017★ 33 cited
Neural Networks Compression for Language Modeling
Artem M. Grachev, Dmitry I. Ignatov, Andrey V. Savchenko
In this paper, we consider several compression techniques for the language modeling problem based on recurrent neural networks (RNNs). It is known that conventional RNNs, e.g, LSTM…