Követés
Edouard Grave
Edouard Grave
Research Scientist, Kyutai
E-mail megerősítve itt: fb.com - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
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
126232017
Llama: Open and efficient foundation language models
H Touvron, T Lavril, G Izacard, X Martinet, MA Lachaux, T Lacroix, ...
arXiv preprint arXiv:2302.13971, 2023
74142023
Bag of tricks for efficient text classification
A Joulin, E Grave, P Bojanowski, T Mikolov
arXiv preprint arXiv:1607.01759, 2016
61192016
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
57622019
Learning word vectors for 157 languages
E Grave, P Bojanowski, P Gupta, A Joulin, T Mikolov
arXiv preprint arXiv:1802.06893, 2018
18192018
Advances in pre-training distributed word representations
T Mikolov, E Grave, P Bojanowski, C Puhrsch, A Joulin
arXiv preprint arXiv:1712.09405, 2017
17352017
Fasttext. zip: Compressing text classification models
A Joulin, E Grave, P Bojanowski, M Douze, H Jégou, T Mikolov
arXiv preprint arXiv:1612.03651, 2016
16012016
Parseval networks: Improving robustness to adversarial examples
M Cisse, P Bojanowski, E Grave, Y Dauphin, N Usunier
International conference on machine learning, 854-863, 2017
8842017
Leveraging passage retrieval with generative models for open domain question answering
G Izacard, E Grave
arXiv preprint arXiv:2007.01282, 2020
8642020
Beyond english-centric multilingual machine translation
A Fan, S Bhosale, H Schwenk, Z Ma, A El-Kishky, S Goyal, M Baines, ...
Journal of Machine Learning Research 22 (107), 1-48, 2021
6882021
ResMLP: Feedforward networks for image classification with data-efficient training
H Touvron, P Bojanowski, M Caron, M Cord, A El-Nouby, E Grave, ...
arXiv preprint arXiv:2105.03404, 2021
678*2021
Colorless green recurrent networks dream hierarchically
K Gulordava, P Bojanowski, E Grave, T Linzen, M Baroni
arXiv preprint arXiv:1803.11138, 2018
6082018
Reducing transformer depth on demand with structured dropout
A Fan, E Grave, A Joulin
arXiv preprint arXiv:1909.11556, 2019
5812019
CCNet: Extracting high quality monolingual datasets from web crawl data
G Wenzek, MA Lachaux, A Conneau, V Chaudhary, F Guzmán, A Joulin, ...
arXiv preprint arXiv:1911.00359, 2019
5422019
Towards unsupervised dense information retrieval with contrastive learning
G Izacard, M Caron, L Hosseini, S Riedel, P Bojanowski, A Joulin, ...
arXiv preprint arXiv:2112.09118 2 (3), 2021
5022021
Few-shot learning with retrieval augmented language models
G Izacard, P Lewis, M Lomeli, L Hosseini, F Petroni, T Schick, ...
arXiv preprint arXiv:2208.03299 1 (2), 4, 2022
446*2022
Augmented language models: a survey
G Mialon, R Dessì, M Lomeli, C Nalmpantis, R Pasunuru, R Raileanu, ...
arXiv preprint arXiv:2302.07842, 2023
3612023
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
3572018
Improving neural language models with a continuous cache
E Grave, A Joulin, N Usunier
arXiv preprint arXiv:1612.04426, 2016
3392016
Efficient softmax approximation for gpus
E Grave, A Joulin, M Cissé, D Grangier, H Jégou
International Conference on Machine Learning, 1302-1310, 2017
315*2017
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Cikkek 1–20