Compression of recurrent neural networks for efficient language modeling AM Grachev, DI Ignatov, AV Savchenko Applied Soft Computing 79, 354-362, 2019 | 44 | 2019 |
Neural networks compression for language modeling AM Grachev, DI Ignatov, AV Savchenko International Conference on Pattern Recognition and Machine Intelligence …, 2017 | 36 | 2017 |
Extraction of visual features for recommendation of products via deep learning E Andreeva, DI Ignatov, A Grachev, AV Savchenko Analysis of Images, Social Networks and Texts: 7th International Conference …, 2018 | 17 | 2018 |
Efficient language modeling with automatic relevance determination in recurrent neural networks M Kodryan, A Grachev, D Ignatov, D Vetrov Proceedings of the 4th Workshop on Representation Learning for NLP (RepL4NLP …, 2019 | 2 | 2019 |
Clustering Techniques Versus Binary Thresholding for Detection of Signal Tracks in Ionogramms. AM Grachev, A Shiriy SCAKD@ CLA, 87-92, 2016 | 2 | 2016 |
Meta-Optimization of Initial Weights for More Effective Few-and Zero-Shot Learning in BCI Classification DA Berdyshev, AM Grachev, SL Shishkin, BL Kozyrskiy 2023 IEEE Ural-Siberian Conference on Computational Technologies in …, 2023 | | 2023 |