fairseq: A fast, extensible toolkit for sequence modeling M Ott, S Edunov, A Baevski, A Fan, S Gross, N Ng, D Grangier, M Auli arXiv preprint arXiv:1904.01038, 2019 | 1473 | 2019 |
Understanding back-translation at scale S Edunov, M Ott, M Auli, D Grangier arXiv preprint arXiv:1808.09381, 2018 | 714 | 2018 |
Dense passage retrieval for open-domain question answering V Karpukhin, B Oğuz, S Min, P Lewis, L Wu, S Edunov, D Chen, W Yih arXiv preprint arXiv:2004.04906, 2020 | 576 | 2020 |
Multilingual denoising pre-training for neural machine translation Y Liu, J Gu, N Goyal, X Li, S Edunov, M Ghazvininejad, M Lewis, ... Transactions of the Association for Computational Linguistics 8, 726-742, 2020 | 513 | 2020 |
One trillion edges: Graph processing at facebook-scale A Ching, S Edunov, M Kabiljo, D Logothetis, S Muthukrishnan Proceedings of the VLDB Endowment 8 (12), 1804-1815, 2015 | 432 | 2015 |
Facebook FAIR's WMT19 news translation task submission N Ng, K Yee, A Baevski, M Ott, M Auli, S Edunov arXiv preprint arXiv:1907.06616, 2019 | 200 | 2019 |
Cloze-driven pretraining of self-attention networks A Baevski, S Edunov, Y Liu, L Zettlemoyer, M Auli arXiv preprint arXiv:1903.07785, 2019 | 165 | 2019 |
Classical structured prediction losses for sequence to sequence learning S Edunov, M Ott, M Auli, D Grangier, MA Ranzato arXiv preprint arXiv:1711.04956, 2017 | 151 | 2017 |
Three and a half degrees of separation S Edunov, C Diuk, IO Filiz, S Bhagat, M Burke Research at Facebook 694, 2016 | 139* | 2016 |
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 | 114 | 2021 |
Pre-trained language model representations for language generation S Edunov, A Baevski, M Auli arXiv preprint arXiv:1903.09722, 2019 | 95 | 2019 |
Playing the lottery with rewards and multiple languages: lottery tickets in rl and nlp H Yu, S Edunov, Y Tian, AS Morcos arXiv preprint arXiv:1906.02768, 2019 | 74 | 2019 |
Ccmatrix: Mining billions of high-quality parallel sentences on the web H Schwenk, G Wenzek, S Edunov, E Grave, A Joulin arXiv preprint arXiv:1911.04944, 2019 | 63 | 2019 |
On the evaluation of machine translation systems trained with back-translation S Edunov, M Ott, MA Ranzato, M Auli arXiv preprint arXiv:1908.05204, 2019 | 54* | 2019 |
Darwini: Generating realistic large-scale social graphs S Edunov, D Logothetis, C Wang, A Ching, M Kabiljo arXiv preprint arXiv:1610.00664, 2016 | 27* | 2016 |
Facebook ai wmt21 news translation task submission C Tran, S Bhosale, J Cross, P Koehn, S Edunov, A Fan arXiv preprint arXiv:2108.03265, 2021 | 11 | 2021 |
A comparison of state-of-the-art graph processing systems M Kabiljo, D Logothetis, S Edunov, A Ching Facebook Blog Post, http://tinyurl. com/giraph-vs-graphx, 2016 | 10 | 2016 |
Large scale weakly and semi-supervised learning for low-resource video ASR K Singh, V Manohar, A Xiao, S Edunov, R Girshick, V Liptchinsky, ... arXiv preprint arXiv:2005.07850, 2020 | 7 | 2020 |
Three and a half degrees of separation, 2016 S Edunov, CG Diuk, IO Filiz, S Bhagat, M Burke URL: http://research. facebook. com/blog, 2021 | 5 | 2021 |
Training asr models by generation of contextual information K Singh, D Okhonko, J Liu, Y Wang, F Zhang, R Girshick, S Edunov, ... ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 5 | 2020 |