| Learning phrase representations using RNN encoder-decoder for statistical machine translation K Cho, B Van Merriënboer, C Gulcehre, D Bahdanau, F Bougares, ... arXiv preprint arXiv:1406.1078, 2014 | 38346 | 2014 |
| Supervised learning of universal sentence representations from natural language inference data A Conneau, D Kiela, H Schwenk, L Barrault, A Bordes arXiv preprint arXiv:1705.02364, 2017 | 2917 | 2017 |
| XNLI: Evaluating cross-lingual sentence representations A Conneau, R Rinott, G Lample, A Williams, S Bowman, H Schwenk, ... Proceedings of the 2018 conference on empirical methods in natural language …, 2018 | 1767 | 2018 |
| Very deep convolutional networks for text classification A Conneau, H Schwenk, L Barrault, Y Lecun Proceedings of the 15th conference of the European chapter of the …, 2017 | 1432 | 2017 |
| Massively multilingual sentence embeddings for zero-shot cross-lingual transfer and beyond M Artetxe, H Schwenk Transactions of the association for computational linguistics 7, 597-610, 2019 | 1366 | 2019 |
| No language left behind: Scaling human-centered machine translation MR Costa-Jussà, J Cross, O Çelebi, M Elbayad, K Heafield, K Heffernan, ... arXiv preprint arXiv:2207.04672, 2022 | 1157 | 2022 |
| 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 | 1105 | 2021 |
| Diffedit: Diffusion-based semantic image editing with mask guidance G Couairon, J Verbeek, H Schwenk, M Cord arXiv preprint arXiv:2210.11427, 2022 | 731 | 2022 |
| Continuous space language models H Schwenk Computer Speech & Language 21 (3), 492-518, 2007 | 714 | 2007 |
| On using monolingual corpora in neural machine translation C Gulcehre, O Firat, K Xu, K Cho, L Barrault, HC Lin, F Bougares, ... arXiv preprint arXiv:1503.03535, 2015 | 693 | 2015 |
| MLQA: Evaluating cross-lingual extractive question answering P Lewis, B Oguz, R Rinott, S Riedel, H Schwenk Proceedings of the 58th annual meeting of the association for computational …, 2020 | 631 | 2020 |
| Boosting neural networks H Schwenk, Y Bengio Neural computation 12 (8), 1869-1887, 2000 | 460 | 2000 |
| Wikimatrix: Mining 135m parallel sentences in 1620 language pairs from wikipedia H Schwenk, V Chaudhary, S Sun, H Gong, F Guzmán Proceedings of the 16th conference of the European Chapter of the …, 2021 | 421 | 2021 |
| Very deep convolutional networks for natural language processing A Conneau, H Schwenk, L Barrault, Y Lecun arXiv preprint arXiv:1606.01781 2 (1), 2016 | 416 | 2016 |
| CCMatrix: Mining billions of high-quality parallel sentences on the web H Schwenk, G Wenzek, S Edunov, E Grave, A Joulin, A Fan Proceedings of the 59th annual meeting of the association for computational …, 2021 | 305 | 2021 |
| Margin-based parallel corpus mining with multilingual sentence embeddings M Artetxe, H Schwenk Proceedings of the 57th annual meeting of the Association for Computational …, 2019 | 257 | 2019 |
| SeamlessM4T: massively multilingual & multimodal machine translation L Barrault, YA Chung, MC Meglioli, D Dale, N Dong, PA Duquenne, ... arXiv preprint arXiv:2308.11596, 2023 | 238 | 2023 |
| Learning joint multilingual sentence representations with neural machine translation H Schwenk, M Douze arXiv preprint arXiv:1704.04154, 2017 | 225 | 2017 |
| Measuring compositionality in representation learning J Andreas, M Baroni, A Conneau, D Kiela, H Schwenk, L Barrault, ... International conference on learning representations 375, 2227-2237, 2019 | 210 | 2019 |
| Seamless: Multilingual Expressive and Streaming Speech Translation L Barrault, YA Chung, MC Meglioli, D Dale, N Dong, M Duppenthaler, ... arXiv preprint arXiv:2312.05187, 2023 | 209 | 2023 |
