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Orhan Firat
Orhan Firat
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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
10892019
Palm: Scaling language modeling with pathways
A Chowdhery, S Narang, J Devlin, M Bosma, G Mishra, A Roberts, ...
arXiv preprint arXiv:2204.02311, 2022
9472022
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
8842016
Multi-way, multilingual neural machine translation with a shared attention mechanism
O Firat, K Cho, Y Bengio
arXiv preprint arXiv:1601.01073, 2016
6232016
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
6222020
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
5462015
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
4652018
Massively multilingual neural machine translation
R Aharoni, M Johnson, O Firat
arXiv preprint arXiv:1903.00089, 2019
4372019
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
4182017
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
4052020
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
2902019
Simple, scalable adaptation for neural machine translation
A Bapna, N Arivazhagan, O Firat
arXiv preprint arXiv:1909.08478, 2019
2682019
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
2342016
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
1932016
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
1722019
Montreal neural machine translation systems for WMT’15
S Jean, O Firat, K Cho, R Memisevic, Y Bengio
Proceedings of the tenth workshop on statistical machine translation, 134-140, 2015
1672015
Does neural machine translation benefit from larger context?
S Jean, S Lauly, O Firat, K Cho
arXiv preprint arXiv:1704.05135, 2017
1372017
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
1232022
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
1072018
On integrating a language model into neural machine translation
C Gulcehre, O Firat, K Xu, K Cho, Y Bengio
Computer Speech & Language 45, 137-148, 2017
1062017
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