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Stanislas Lauly
Stanislas Lauly
Applied scientist, Amazon AI
Zweryfikowany adres z amazon.com
Tytuł
Cytowane przez
Cytowane przez
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An autoencoder approach to learning bilingual word representations
S Chandar AP, S Lauly, H Larochelle, M Khapra, B Ravindran, VC Raykar, ...
Advances in neural information processing systems 27, 2014
3992014
A neural autoregressive topic model
H Larochelle, S Lauly
Advances in Neural Information Processing Systems 25, 2012
3002012
Does neural machine translation benefit from larger context?
S Jean, S Lauly, O Firat, K Cho
arXiv preprint arXiv:1704.05135, 2017
1652017
Learning multilingual word representations using a bag-of-words autoencoder
S Lauly, A Boulanger, H Larochelle
arXiv preprint arXiv:1401.1803, 2014
512014
Document neural autoregressive distribution estimation
S Lauly, Y Zheng, H Larochelle
Journal of Machine Learning Research 18 (113), 1-24, 2017
332017
MT-GenEval: A counterfactual and contextual dataset for evaluating gender accuracy in machine translation
A Currey, M Nădejde, R Pappagari, M Mayer, S Lauly, X Niu, B Hsu, ...
arXiv preprint arXiv:2211.01355, 2022
282022
Neural machine translation for cross-lingual pronoun prediction
S Jean, S Lauly, O Firat, K Cho
Proceedings of the third workshop on discourse in machine translation, 54-57, 2017
182017
A baseline revisited: Pushing the limits of multi-segment models for context-aware translation
S Majumder, S Lauly, M Nadejde, M Federico, G Dinu
arXiv preprint arXiv:2210.10906, 2022
132022
The NYU system for the CoNLL–SIGMORPHON 2018 shared task on universal morphological reinflection
K Von Der Wense, S Lauly, K Cho
Proceedings of the CoNLL–SIGMORPHON 2018 Shared Task: Universal …, 2018
72018
Modélisation de l'interprétation des pianistes & applications d'auto-encodeurs sur des modèles temporels
S Lauly
72010
Exploration des réseaux de neurones à base d'autoencodeur dans le cadre de la modélisation des données textuelles
S Lauly
Université de Sherbrooke, 2016
42016
Joint translation and unit conversion for end-to-end localization
G Dinu, P Mathur, M Federico, S Lauly, Y Al-Onaizan
arXiv preprint arXiv:2004.05219, 2020
12020
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