Obserwuj
Orhan Firat
Orhan Firat
Zweryfikowany adres z google.com - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
Palm: Scaling language modeling with pathways
A Chowdhery, S Narang, J Devlin, M Bosma, G Mishra, A Roberts, ...
Journal of Machine Learning Research 24 (240), 1-113, 2023
50902023
Gemini: a family of highly capable multimodal models
G Team, R Anil, S Borgeaud, JB Alayrac, J Yu, R Soricut, J Schalkwyk, ...
arXiv preprint arXiv:2312.11805, 2023
21462023
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
17682019
Palm 2 technical report
R Anil, AM Dai, O Firat, M Johnson, D Lepikhin, A Passos, S Shakeri, ...
arXiv preprint arXiv:2305.10403, 2023
14112023
Gshard: Scaling giant models with conditional computation and automatic sharding
D Lepikhin, HJ Lee, Y Xu, D Chen, O Firat, Y Huang, M Krikun, N Shazeer, ...
arXiv preprint arXiv:2006.16668, 2020
9962020
Theano: A Python framework for fast computation of mathematical expressions
R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ...
arXiv e-prints, arXiv: 1605.02688, 2016
9312016
Xtreme: A massively multilingual multi-task benchmark for evaluating cross-lingual generalisation
J Hu, S Ruder, A Siddhant, G Neubig, O Firat, M Johnson
International Conference on Machine Learning, 4411-4421, 2020
9232020
Multi-way, multilingual neural machine translation with a shared attention mechanism
O Firat, K Cho, Y Bengio
arXiv preprint arXiv:1601.01073, 2016
7132016
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
G Team, P Georgiev, VI Lei, R Burnell, L Bai, A Gulati, G Tanzer, ...
arXiv preprint arXiv:2403.05530, 2024
671*2024
On using monolingual corpora in neural machine translation
C Gulcehre, O Firat, K Xu, K Cho, L Barrault, HC Lin, F Bougares, ...
arXiv preprint arXiv:1503.03535, 2015
6582015
Massively multilingual neural machine translation
R Aharoni, M Johnson, O Firat
arXiv preprint arXiv:1903.00089, 2019
6002019
Glam: Efficient scaling of language models with mixture-of-experts
N Du, Y Huang, AM Dai, S Tong, D Lepikhin, Y Xu, M Krikun, Y Zhou, ...
International Conference on Machine Learning, 5547-5569, 2022
5492022
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
5382018
Simple, scalable adaptation for neural machine translation
A Bapna, N Arivazhagan, O Firat
arXiv preprint arXiv:1909.08478, 2019
4592019
Nematus: a toolkit for neural machine translation
R Sennrich, O Firat, K Cho, A Birch, B Haddow, J Hitschler, ...
arXiv preprint arXiv:1703.04357, 2017
4532017
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
4172019
Zero-resource translation with multi-lingual neural machine translation
O Firat, B Sankaran, Y Al-Onaizan, FTY Vural, K Cho
arXiv preprint arXiv:1606.04164, 2016
2802016
Gemini: A family of highly capable multimodal models
R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, J Schalkwyk, ...
arXiv preprint arXiv:2312.11805 1, 2023
2272023
Theano: A Python framework for fast computation of mathematical expressions
TTD Team, R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, ...
arXiv preprint arXiv:1605.02688, 2016
2192016
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
2122019
Nie można teraz wykonać tej operacji. Spróbuj ponownie później.
Prace 1–20