Nemo: a toolkit for building ai applications using neural modules O Kuchaiev, J Li, H Nguyen, O Hrinchuk, R Leary, B Ginsburg, S Kriman, ... arXiv preprint arXiv:1909.09577, 2019 | 126 | 2019 |
Stochastic gradient methods with layer-wise adaptive moments for training of deep networks B Ginsburg, P Castonguay, O Hrinchuk, O Kuchaiev, V Lavrukhin, R Leary, ... arXiv preprint arXiv:1905.11286, 2019 | 81 | 2019 |
Pervasive Agriculture: IoT-Enabled Greenhouse for Plant Growth Control A Somov, D Shadrin, I Fastovets, A Nikitin, S Matveev, I Oseledets, ... IEEE Pervasive Computing Magazine 17 (4), 65-75, 2018 | 75 | 2018 |
Tensorized embedding layers for efficient model compression O Hrinchuk, V Khrulkov, L Mirvakhabova, E Orlova, I Oseledets arXiv preprint arXiv:1901.10787, 2019 | 66* | 2019 |
Correction of Automatic Speech Recognition with Transformer Sequence-to-sequence Model O Hrinchuk, M Popova, B Ginsburg International Conference on Acoustics, Speech, and Signal Processing (ICASSP …, 2019 | 60 | 2019 |
Citrinet: Closing the gap between non-autoregressive and autoregressive end-to-end models for automatic speech recognition S Majumdar, J Balam, O Hrinchuk, V Lavrukhin, V Noroozi, B Ginsburg arXiv preprint arXiv:2104.01721, 2021 | 38 | 2021 |
Artificial intelligence for prosthetics: Challenge solutions Ł Kidziński, C Ong, SP Mohanty, J Hicks, S Carroll, B Zhou, H Zeng, ... The NeurIPS'18 Competition: From Machine Learning to Intelligent …, 2020 | 35 | 2020 |
Generalized Tensor Models for Recurrent Neural Networks V Khrulkov, O Hrinchuk, I Oseledets International Conference on Learning Representations (ICLR), 2019, 2018 | 22 | 2018 |
Riemannian Optimization for Skip-Gram Negative Sampling A Fonarev, O Hrinchuk, G Gusev, P Serdyukov, I Oseledets Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017 | 11 | 2017 |
NVIDIA NeMo Neural Machine Translation Systems for English-German and English-Russian News and Biomedical Tasks at WMT21 S Subramanian, O Hrinchuk, V Adams, O Kuchaiev arXiv preprint arXiv:2111.08634, 2021 | 10 | 2021 |
Catalyst. RL: a distributed framework for reproducible RL research S Kolesnikov, O Hrinchuk arXiv preprint arXiv:1903.00027, 2019 | 6 | 2019 |
NVIDIA NeMo Offline Speech Translation Systems for IWSLT 2022 O Hrinchuk, V Noroozi, A Khattar, A Peganov, S Subramanian, ... Proceedings of the 19th International Conference on Spoken Language …, 2022 | 3 | 2022 |
Finding the right recipe for low resource domain adaptation in neural machine translation V Adams, S Subramanian, M Chrzanowski, O Hrinchuk, O Kuchaiev arXiv preprint arXiv:2206.01137, 2022 | 1 | 2022 |
Fast Conformer with Linearly Scalable Attention for Efficient Speech Recognition D Rekesh, S Kriman, S Majumdar, V Noroozi, H Juang, O Hrinchuk, ... arXiv preprint arXiv:2305.05084, 2023 | | 2023 |
Leveraging Synthetic Targets for Machine Translation S Mittal, O Hrinchuk, O Kuchaiev arXiv preprint arXiv:2305.06155, 2023 | | 2023 |