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Journal Articles
- 2019
[j1]Artem M. Grachev
, Dmitry I. Ignatov, Andrey V. Savchenko:
Compression of recurrent neural networks for efficient language modeling. Appl. Soft Comput. 79: 354-362 (2019)
Conference and Workshop Papers
- 2019
- [c4]Maxim Kodryan, Artem M. Grachev, Dmitry I. Ignatov, Dmitry P. Vetrov:
Efficient Language Modeling with Automatic Relevance Determination in Recurrent Neural Networks. RepL4NLP@ACL 2019: 40-48 - 2018
- [c3]Elena Andreeva, Dmitry I. Ignatov, Artem M. Grachev, Andrey V. Savchenko:
Extraction of Visual Features for Recommendation of Products via Deep Learning. AIST 2018: 201-210 - 2017
- [c2]Artem M. Grachev, Dmitry I. Ignatov, Andrey V. Savchenko:
Neural Networks Compression for Language Modeling. PReMI 2017: 351-357 - 2016
- [c1]Artem M. Grachev, Andrey Shiriy:
Clustering Techniques Versus Binary Thresholding for Detection of Signal Tracks in Ionogramms. SCAKD@CLA 2016: 87-92
Informal and Other Publications
- 2019
- [i2]Artem M. Grachev, Dmitry I. Ignatov, Andrey V. Savchenko:
Compression of Recurrent Neural Networks for Efficient Language Modeling. CoRR abs/1902.02380 (2019) - 2017
- [i1]Artem M. Grachev, Dmitry I. Ignatov, Andrey V. Savchenko:
Neural Networks Compression for Language Modeling. CoRR abs/1708.05963 (2017)
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