Neural Networks Compression for Language Modeling-Reference-Cited by-同舟云学术

Neural Networks Compression for Language Modeling

Published:2017 Issue: Volume: Page:351-357
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Grachev Artem M.^ORCID,Ignatov Dmitry I.^ORCID,Savchenko Andrey V.^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-319-69900-4_44

Reference16 articles.

1. Lu, Z., Sindhwan, V., Sainath, T.N.: Learning compact recurrent neural networks. In: Acoustics, Speech and Signal Processing (ICASSP) (2016)

2. Novikov, A., Podoprikhin, D., Osokin, A., Vetrov, D.P.: Tensorizing neural networks. In: Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, pp. 442–450 (2015)

3. Garipov, T., Podoprikhin, D., Novikov, A., Vetrov, D.P.: Ultimate tensorization: compressing convolutional and FC layers alike. CoRR/NIPS 2016 Workshop: Learning with Tensors: Why Now and How? abs/1611.03214 (2016)

4. Arjovsky, M., Shah, A., Bengio, Y.: Unitary evolution recurrent neural networks. In: Proceedings of the 33rd International Conference on Machine Learning, ICML 2016, pp. 1120–1128 (2016)

5. Jelinek, F.: Statistical Methods for Speech Recognition. MIT Press, Cambridge (1997)

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