Zobrazeno 1 - 10
of 684
pro vyhledávání: '"A. de Brébisson"'
Autor:
John D. Gallagher
Publikováno v:
Babel. Revue internationale de la traduction / International Journal of Translation. 66:149-154
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::01846d9633b8ab0eecac02dab3487557
https://doi.org/10.1075/babel.00134.gal
https://doi.org/10.1075/babel.00134.gal
Akademický článek
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Sabrina Baldo de Brébisson et Stephanie Genty (éds). L'intraduisible. Les méandres de la traduction.
Autor:
Gallagher, John D.1 jdgallagher@gmx.de
Publikováno v:
Babel: International Journal of Translation / Revue Internationale de la Traduction / Revista Internacional de Traducción. 2020, Vol. 66 Issue 1, p149-154. 6p.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
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Autor:
René Lemieux
Publikováno v:
Meta: Journal des traducteurs. 66:493
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be0abe659b7f35e9a4c7f1b71c01ec24
https://doi.org/10.7202/1083190ar
https://doi.org/10.7202/1083190ar
Autor:
Kumar, Kundan, Kumar, Rithesh, de Boissiere, Thibault, Gestin, Lucas, Teoh, Wei Zhen, Sotelo, Jose, de Brebisson, Alexandre, Bengio, Yoshua, Courville, Aaron
Previous works (Donahue et al., 2018a; Engel et al., 2019a) have found that generating coherent raw audio waveforms with GANs is challenging. In this paper, we show that it is possible to train GANs reliably to generate high quality coherent waveform
Externí odkaz:
http://arxiv.org/abs/1910.06711
Publikováno v:
Journal of Applied Phycology. 27:293-302
The induction of antioxidant response and phenotypic plasticity of Scenedesmus quadricauda after exposure to lead (Pb) (3.6 × 10−8 and 3.6 × 10−7 M) at different nitrogen (N) concentrations (1.8 × 10−4, 1.8 × 10−5, and 1.8 × 10−6 M) wa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c1dc33bc70d413578b3eb95b7b23608f
https://doi.org/10.1007/s10811-014-0312-8
https://doi.org/10.1007/s10811-014-0312-8
Autor:
Serban, Iulian V., Sankar, Chinnadhurai, Germain, Mathieu, Zhang, Saizheng, Lin, Zhouhan, Subramanian, Sandeep, Kim, Taesup, Pieper, Michael, Chandar, Sarath, Ke, Nan Rosemary, Rajeswar, Sai, de Brebisson, Alexandre, Sotelo, Jose M. R., Suhubdy, Dendi, Michalski, Vincent, Nguyen, Alexandre, Pineau, Joelle, Bengio, Yoshua
We present MILABOT: a deep reinforcement learning chatbot developed by the Montreal Institute for Learning Algorithms (MILA) for the Amazon Alexa Prize competition. MILABOT is capable of conversing with humans on popular small talk topics through bot
Externí odkaz:
http://arxiv.org/abs/1801.06700
We present ObamaNet, the first architecture that generates both audio and synchronized photo-realistic lip-sync videos from any new text. Contrary to other published lip-sync approaches, ours is only composed of fully trainable neural modules and doe
Externí odkaz:
http://arxiv.org/abs/1801.01442
Autor:
Serban, Iulian V., Sankar, Chinnadhurai, Germain, Mathieu, Zhang, Saizheng, Lin, Zhouhan, Subramanian, Sandeep, Kim, Taesup, Pieper, Michael, Chandar, Sarath, Ke, Nan Rosemary, Rajeshwar, Sai, de Brebisson, Alexandre, Sotelo, Jose M. R., Suhubdy, Dendi, Michalski, Vincent, Nguyen, Alexandre, Pineau, Joelle, Bengio, Yoshua
We present MILABOT: a deep reinforcement learning chatbot developed by the Montreal Institute for Learning Algorithms (MILA) for the Amazon Alexa Prize competition. MILABOT is capable of conversing with humans on popular small talk topics through bot
Externí odkaz:
http://arxiv.org/abs/1709.02349