Edouard Grave
Edouard Grave
Research Scientist, Facebook
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Geciteerd door
Geciteerd door
Enriching word vectors with subword information
P Bojanowski, E Grave, A Joulin, T Mikolov
Transactions of the Association for Computational Linguistics 5, 135-146, 2017
Bag of tricks for efficient text classification
A Joulin, E Grave, P Bojanowski, T Mikolov
arXiv preprint arXiv:1607.01759, 2016
Learning word vectors for 157 languages
E Grave, P Bojanowski, P Gupta, A Joulin, T Mikolov
arXiv preprint arXiv:1802.06893, 2018
Advances in pre-training distributed word representations
T Mikolov, E Grave, P Bojanowski, C Puhrsch, A Joulin
arXiv preprint arXiv:1712.09405, 2017
Fasttext. zip: Compressing text classification models
A Joulin, E Grave, P Bojanowski, M Douze, H Jégou, T Mikolov
arXiv preprint arXiv:1612.03651, 2016
Parseval networks: Improving robustness to adversarial examples
M Cisse, P Bojanowski, E Grave, Y Dauphin, N Usunier
arXiv preprint arXiv:1704.08847, 2017
Colorless green recurrent networks dream hierarchically
K Gulordava, P Bojanowski, E Grave, T Linzen, M Baroni
arXiv preprint arXiv:1803.11138, 2018
Improving neural language models with a continuous cache
E Grave, A Joulin, N Usunier
arXiv preprint arXiv:1612.04426, 2016
Trace lasso: a trace norm regularization for correlated designs
E Grave, GR Obozinski, FR Bach
Advances in Neural Information Processing Systems, 2187-2195, 2011
Unsupervised cross-lingual representation learning at scale
A Conneau, K Khandelwal, N Goyal, V Chaudhary, G Wenzek, F Guzmán, ...
arXiv preprint arXiv:1911.02116, 2019
Efficient softmax approximation for gpus
E Grave, A Joulin, M Cissé, D Grangier, H Jégou
International Conference on Machine Learning, 1302-1310, 2017
Loss in translation: Learning bilingual word mapping with a retrieval criterion
A Joulin, P Bojanowski, T Mikolov, H Jégou, E Grave
arXiv preprint arXiv:1804.07745, 2018
Weakly-supervised alignment of video with text
P Bojanowski, R Lajugie, E Grave, F Bach, I Laptev, J Ponce, C Schmid
Proceedings of the IEEE international conference on computer vision, 4462-4470, 2015
Learning probabilistic phenotypes from heterogeneous EHR data
R Pivovarov, AJ Perotte, E Grave, J Angiolillo, CH Wiggins, N Elhadad
Journal of biomedical informatics 58, 156-165, 2015
Unsupervised alignment of embeddings with wasserstein procrustes
E Grave, A Joulin, Q Berthet
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
Adaptive attention span in transformers
S Sukhbaatar, E Grave, P Bojanowski, A Joulin
arXiv preprint arXiv:1905.07799, 2019
Reducing transformer depth on demand with structured dropout
A Fan, E Grave, A Joulin
arXiv preprint arXiv:1909.11556, 2019
Can you tell me how to get past sesame street? sentence-level pretraining beyond language modeling
A Wang, J Hula, P Xia, R Pappagari, RT McCoy, R Patel, N Kim, I Tenney, ...
arXiv preprint arXiv:1812.10860, 2018
Efficient large-scale multi-modal classification
D Kiela, E Grave, A Joulin, T Mikolov
arXiv preprint arXiv:1802.02892, 2018
Longitudinal analysis of discussion topics in an online breast cancer community using convolutional neural networks
S Zhang, E Grave, E Sklar, N Elhadad
Journal of biomedical informatics 69, 1-9, 2017
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