| 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 | 266 | 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 | 112 | 2019 |
| Tensorized embedding layers for efficient model compression O Hrinchuk, V Khrulkov, L Mirvakhabova, E Orlova, I Oseledets arXiv preprint arXiv:1901.10787, 2019 | 105* | 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 | 94 | 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 | 92 | 2018 |
| 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 | 73 | 2021 |
| Fast conformer with linearly scalable attention for efficient speech recognition D Rekesh, NR Koluguri, S Kriman, S Majumdar, V Noroozi, H Huang, ... 2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 1-8, 2023 | 53 | 2023 |
| 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 | 49 | 2020 |
| Generalized Tensor Models for Recurrent Neural Networks V Khrulkov, O Hrinchuk, I Oseledets International Conference on Learning Representations (ICLR), 2019, 2018 | 28 | 2018 |
| Salm: Speech-augmented language model with in-context learning for speech recognition and translation Z Chen, H Huang, A Andrusenko, O Hrinchuk, KC Puvvada, J Li, S Ghosh, ... ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 23 | 2024 |
| 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 | 15 | 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 | 13 | 2021 |
| 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 | 9 | 2022 |
| Catalyst. rl: a distributed framework for reproducible rl research S Kolesnikov, O Hrinchuk arXiv preprint arXiv:1903.00027, 2019 | 7 | 2019 |
| Less is more: Accurate speech recognition & translation without web-scale data KC Puvvada, P Żelasko, H Huang, O Hrinchuk, NR Koluguri, K Dhawan, ... arXiv preprint arXiv:2406.19674, 2024 | 5 | 2024 |
| Bestow: Efficient and streamable speech language model with the best of two worlds in gpt and t5 Z Chen, H Huang, O Hrinchuk, KC Puvvada, NR Koluguri, P Żelasko, ... arXiv preprint arXiv:2406.19954, 2024 | 2 | 2024 |
| Leveraging Synthetic Targets for Machine Translation S Mittal, O Hrinchuk, O Kuchaiev arXiv preprint arXiv:2305.06155, 2023 | 2 | 2023 |
| 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 |
| EMMeTT: Efficient Multimodal Machine Translation Training P Żelasko, Z Chen, M Wang, D Galvez, O Hrinchuk, S Ding, K Hu, J Balam, ... arXiv preprint arXiv:2409.13523, 2024 | | 2024 |
| Chain-of-Thought Prompting for Speech Translation K Hu, Z Chen, CHH Yang, P Żelasko, O Hrinchuk, V Lavrukhin, J Balam, ... arXiv preprint arXiv:2409.11538, 2024 | | 2024 |
Boris GinsburgNVIDIAПотвърден имейл адрес: nvidia.com
