Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Universal encoder-decoder"'
Vision-language pre-training has been an emerging and fast-developing research topic, which transfers multi-modal knowledge from rich-resource pre-training task to limited-resource downstream tasks. Unlike existing works that predominantly learn a si
Externí odkaz:
http://arxiv.org/abs/2201.04026
Akademický článek
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Publikováno v:
ACM Transactions on Multimedia Computing, Communications & Applications; Apr2022, Vol. 18 Issue 2, p84-99, 16p
Autor:
Escolano Peinado, Carlos, Ruiz Costa-Jussà, Marta, Rodríguez Fonollosa, José Adrián, Artetxe Zurutuza, Mikel
State-of-the-art multilingual machine translation relies on a universal encoder-decoder, which requires retraining the entire system to add new languages. In this paper, we propose an alternative approach that is based on language-specific encoder-de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3484::21d0ddcada25e832dca305063ce33619
https://hdl.handle.net/2117/347326
https://hdl.handle.net/2117/347326
Autor:
Escolano Peinado, Carlos|||0000-0001-6657-673X, Ruiz Costa-Jussà, Marta|||0000-0002-5703-520X, Rodríguez Fonollosa, José Adrián|||0000-0001-9513-7939, Artetxe Zurutuza, Mikel
Publikováno v:
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Universitat Politècnica de Catalunya (UPC)
State-of-the-art multilingual machine translation relies on a universal encoder-decoder, which requires retraining the entire system to add new languages. In this paper, we propose an alternative approach that is based on language-specific encoder-de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=RECOLECTA___::ca12b6c234f060d3ebe4f9a6b2e06ac3
http://hdl.handle.net/2117/347326
http://hdl.handle.net/2117/347326
Autor:
Huang, Wenjun, Hu, Jianguo
The Long Short-Term Memory (LSTM) networks have traditionally faced challenges in scaling and effectively capturing complex dependencies in visual tasks. The xLSTM architecture has emerged to address these limitations, incorporating exponential gatin
Externí odkaz:
http://arxiv.org/abs/2412.10730
State-of-the-art multilingual machine translation relies on a universal encoder-decoder, which requires retraining the entire system to add new languages. In this paper, we propose an alternative approach that is based on language-specific encoder-de
Externí odkaz:
http://arxiv.org/abs/2004.06575
Publikováno v:
IEEE Computational Intelligence Magazine; Nov2024, Vol. 19 Issue 4, p63-78, 16p
Autor:
Sheng, Xianli1 (AUTHOR) guliangg030@126.com
Publikováno v:
PLoS ONE. 8/30/2023, Vol. 18 Issue 8, p1-27. 27p.
Autor:
Haddow, Barry1 (AUTHOR) bhaddow@inf.ed.ac.uk, Bawden, Rachel2 (AUTHOR) Rachel.bawden@inria.fr, Barone, Antonio Valerio Miceli1 (AUTHOR) amiceli@ed.ac.uk, Helcl, Jindřich1 (AUTHOR) jhelcl@ed.ac.uk, Birch, Alexandra1 (AUTHOR) a.birch@ed.ac.uk
Publikováno v:
Computational Linguistics. Sep2022, Vol. 48 Issue 3, p673-732. 60p.