| Gpipe: Efficient training of giant neural networks using pipeline parallelism Y Huang, Y Cheng, A Bapna, O Firat, MX Chen, D Chen, HJ Lee, J Ngiam, ... arXiv preprint arXiv:1811.06965, 2018 | 358 | 2018 |
| The best of both worlds: Combining recent advances in neural machine translation MX Chen, O Firat, A Bapna, M Johnson, W Macherey, G Foster, L Jones, ... arXiv preprint arXiv:1804.09849, 2018 | 257 | 2018 |
| Building a conversational agent overnight with dialogue self-play P Shah, D Hakkani-Tür, G Tür, A Rastogi, A Bapna, N Nayak, L Heck arXiv preprint arXiv:1801.04871, 2018 | 80 | 2018 |
| Lingvo: a modular and scalable framework for sequence-to-sequence modeling J Shen, P Nguyen, Y Wu, Z Chen, MX Chen, Y Jia, A Kannan, T Sainath, ... arXiv preprint arXiv:1902.08295, 2019 | 75 | 2019 |
| Towards zero-shot frame semantic parsing for domain scaling A Bapna, G Tur, D Hakkani-Tur, L Heck arXiv preprint arXiv:1707.02363, 2017 | 74 | 2017 |
| Massively multilingual neural machine translation in the wild: Findings and challenges N Arivazhagan, A Bapna, O Firat, D Lepikhin, M Johnson, M Krikun, ... arXiv preprint arXiv:1907.05019, 2019 | 69 | 2019 |
| Revisiting character-based neural machine translation with capacity and compression C Cherry, G Foster, A Bapna, O Firat, W Macherey arXiv preprint arXiv:1808.09943, 2018 | 55 | 2018 |
| Training deeper neural machine translation models with transparent attention A Bapna, MX Chen, O Firat, Y Cao, Y Wu arXiv preprint arXiv:1808.07561, 2018 | 49 | 2018 |
| Simple, scalable adaptation for neural machine translation A Bapna, N Arivazhagan, O Firat arXiv preprint arXiv:1909.08478, 2019 | 46 | 2019 |
| Sequential dialogue context modeling for spoken language understanding A Bapna, G Tur, D Hakkani-Tur, L Heck arXiv preprint arXiv:1705.03455, 2017 | 38* | 2017 |
| The missing ingredient in zero-shot neural machine translation N Arivazhagan, A Bapna, O Firat, R Aharoni, M Johnson, W Macherey arXiv preprint arXiv:1903.07091, 2019 | 35 | 2019 |
| Large-scale multilingual speech recognition with a streaming end-to-end model A Kannan, A Datta, TN Sainath, E Weinstein, B Ramabhadran, Y Wu, ... arXiv preprint arXiv:1909.05330, 2019 | 32 | 2019 |
| Investigating multilingual nmt representations at scale SR Kudugunta, A Bapna, I Caswell, N Arivazhagan, O Firat arXiv preprint arXiv:1909.02197, 2019 | 31 | 2019 |
| Non-parametric adaptation for neural machine translation A Bapna, O Firat arXiv preprint arXiv:1903.00058, 2019 | 21 | 2019 |
| Evaluating the cross-lingual effectiveness of massively multilingual neural machine translation A Siddhant, M Johnson, H Tsai, N Ari, J Riesa, A Bapna, O Firat, K Raman Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 8854-8861, 2020 | 18 | 2020 |
| Leveraging monolingual data with self-supervision for multilingual neural machine translation A Siddhant, A Bapna, Y Cao, O Firat, M Chen, S Kudugunta, ... arXiv preprint arXiv:2005.04816, 2020 | 9 | 2020 |
| Faster transformer decoding: N-gram masked self-attention C Chelba, M Chen, A Bapna, N Shazeer arXiv preprint arXiv:2001.04589, 2020 | 4 | 2020 |
| Controlling computation versus quality for neural sequence models A Bapna, N Arivazhagan, O Firat arXiv preprint arXiv:2002.07106, 2020 | 3 | 2020 |
| Fill in the blanks: Imputing missing sentences for larger-context neural machine translation S Jean, A Bapna, O Firat arXiv preprint arXiv:1910.14075, 2019 | 3 | 2019 |
| Machine translation using neural network models Z Chen, MR Hughes, Y Wu, M Schuster, X Chen, LO Jones, NJ Parmar, ... US Patent App. 16/521,780, 2020 | 2 | 2020 |
Orhan FiratGoogle AIVerified email at google.com
