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Ankur Bapna
Ankur Bapna
Software Engineer, Google Deepmind
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
Gpipe: Efficient training of giant neural networks using pipeline parallelism
Y Huang, Y Cheng, A Bapna, O Firat, D Chen, M Chen, HJ Lee, J Ngiam, ...
Advances in neural information processing systems 32, 2019
15542019
Gemini: a family of highly capable multimodal models
G Team, R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, ...
arXiv preprint arXiv:2312.11805, 2023
9632023
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
5212018
Simple, scalable adaptation for neural machine translation
A Bapna, N Arivazhagan, O Firat
arXiv preprint arXiv:1909.08478, 2019
4112019
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
3912019
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
2192018
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
2022019
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
1772019
Google usm: Scaling automatic speech recognition beyond 100 languages
Y Zhang, W Han, J Qin, Y Wang, A Bapna, Z Chen, N Chen, B Li, ...
arXiv preprint arXiv:2303.01037, 2023
1732023
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
M Reid, N Savinov, D Teplyashin, D Lepikhin, T Lillicrap, J Alayrac, ...
arXiv preprint arXiv:2403.05530, 2024
1722024
Fleurs: Few-shot learning evaluation of universal representations of speech
A Conneau, M Ma, S Khanuja, Y Zhang, V Axelrod, S Dalmia, J Riesa, ...
2022 IEEE Spoken Language Technology Workshop (SLT), 798-805, 2023
1562023
Towards zero-shot frame semantic parsing for domain scaling
A Bapna, G Tur, D Hakkani-Tur, L Heck
arXiv preprint arXiv:1707.02363, 2017
1452017
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
1202018
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
1192018
Investigating multilingual NMT representations at scale
SR Kudugunta, A Bapna, I Caswell, N Arivazhagan, O Firat
arXiv preprint arXiv:1909.02197, 2019
1152019
Quality at a glance: An audit of web-crawled multilingual datasets
J Kreutzer, I Caswell, L Wang, A Wahab, D van Esch, N Ulzii-Orshikh, ...
Transactions of the Association for Computational Linguistics 10, 50-72, 2022
1082022
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
1052019
Audiopalm: A large language model that can speak and listen
PK Rubenstein, C Asawaroengchai, DD Nguyen, A Bapna, Z Borsos, ...
arXiv preprint arXiv:2306.12925, 2023
972023
mslam: Massively multilingual joint pre-training for speech and text
A Bapna, C Cherry, Y Zhang, Y Jia, M Johnson, Y Cheng, S Khanuja, ...
arXiv preprint arXiv:2202.01374, 2022
972022
Maestro: Matched speech text representations through modality matching
Z Chen, Y Zhang, A Rosenberg, B Ramabhadran, P Moreno, A Bapna, ...
arXiv preprint arXiv:2204.03409, 2022
882022
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