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Sébastien Jean
Sébastien Jean
AWS AI Labs
Verified email at amazon.com
Title
Cited by
Cited by
Year
On using very large target vocabulary for neural machine translation
S Jean, K Cho, R Memisevic, Y Bengio
arXiv preprint arXiv:1412.2007, 2014
12182014
Adversarial learning for neural dialogue generation
J Li, W Monroe, T Shi, S Jean, A Ritter, D Jurafsky
arXiv preprint arXiv:1701.06547, 2017
11152017
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
1115*2016
Emonets: Multimodal deep learning approaches for emotion recognition in video
SE Kahou, X Bouthillier, P Lamblin, C Gulcehre, V Michalski, K Konda, ...
Journal on Multimodal User Interfaces 10, 99-111, 2016
4962016
Combining modality specific deep neural networks for emotion recognition in video
SE Kahou, C Pal, X Bouthillier, P Froumenty, Ç Gülçehre, R Memisevic, ...
Proceedings of the 15th ACM on International conference on multimodal …, 2013
4322013
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
2032019
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
1832015
Does neural machine translation benefit from larger context?
S Jean, S Lauly, O Firat, K Cho
arXiv preprint arXiv:1704.05135, 2017
1632017
Embedding word similarity with neural machine translation
F Hill, K Cho, S Jean, C Devin, Y Bengio
arXiv preprint arXiv:1412.6448, 2014
662014
Not all neural embeddings are born equal
F Hill, KH Cho, S Jean, C Devin, Y Bengio
arXiv preprint arXiv:1410.0718, 2014
542014
Theano: A Python framework for fast computation of mathematical expressions. arXiv
R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ...
arXiv preprint arXiv:1605.02688 10, 2016
492016
Adaptive Scheduling for Multi-Task Learning
S Jean, O Firat, M Johnson
Continual Learning Workshop at NeurIPS, 2018
382018
The representational geometry of word meanings acquired by neural machine translation models
F Hill, K Cho, S Jean, Y Bengio
Machine Translation 31, 3-18, 2017
362017
Context-aware learning for neural machine translation
S Jean, K Cho
arXiv preprint arXiv:1903.04715, 2019
222019
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
Fill in the blanks: Imputing missing sentences for larger-context neural machine translation
S Jean, A Bapna, O Firat
arXiv preprint arXiv:1910.14075, 2019
82019
Log-linear reformulation of the noisy channel model for document-level neural machine translation
S Jean, K Cho
Proceedings of the Fourth Workshop on Structured Prediction for NLP, 95-101, 2020
62020
Measuring and Mitigating Constraint Violations of In-Context Learning for Utterance-to-API Semantic Parsing
S Wang, S Jean, S Sengupta, J Gung, N Pappas, Y Zhang
arXiv preprint arXiv:2305.15338, 2023
32023
EmoNets: Multimodal deep learning approaches for emotion recognition in video
S Ebrahimi Kahou, X Bouthillier, P Lamblin, C Gulcehre, V Michalski, ...
arXiv e-prints, arXiv: 1503.01800, 2015
22015
Measuring and mitigating dialog-to-API constraint violations of in-context learning
S Wang, S Jean, S Sengupta, J Gung, N Pappas, Y Zhang
2023
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