| RoBERTa: A robustly optimized BERT pretraining approach Y Liu, M Ott, N Goyal, J Du, M Joshi, D Chen, O Levy, M Lewis, ... arXiv preprint arXiv:1907.11692, 2019 | 23805* | 2019 |
| 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 | 5234 | 2019 |
| fairseq: A fast, extensible toolkit for sequence modeling M Ott, S Edunov, A Baevski, A Fan, S Gross, N Ng, D Grangier, M Auli Proceedings of the 2019 Conference of the North American Chapter of the …, 2019 | 2906 | 2019 |
| OPT: Open Pre-trained Transformer Language Models S Zhang, S Roller, N Goyal, M Artetxe, M Chen, S Chen, C Dewan, ... arXiv preprint arXiv:2205.01068, 2022 | 2150* | 2022 |
| Finding deceptive opinion spam by any stretch of the imagination M Ott, Y Choi, C Cardie, JT Hancock Proceedings of the 49th Annual Meeting of the Association for Computational …, 2011 | 1846 | 2011 |
| Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences A Rives, J Meier, T Sercu, S Goyal, Z Lin, J Liu, D Guo, M Ott, CL Zitnick, ... Proceedings of the National Academy of Sciences 118 (15), e2016239118, 2021 | 1523 | 2021 |
| Understanding Back-Translation at Scale S Edunov, M Ott, M Auli, D Grangier Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018 | 1219 | 2018 |
| Recipes for building an open-domain chatbot S Roller, E Dinan, N Goyal, D Ju, M Williamson, Y Liu, J Xu, M Ott, ... arXiv preprint arXiv:2004.13637, 2020 | 963 | 2020 |
| Phrase-Based & Neural Unsupervised Machine Translation G Lample, M Ott, A Conneau, L Denoyer, MA Ranzato Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018 | 751 | 2018 |
| Scaling Neural Machine Translation M Ott, S Edunov, D Grangier, M Auli Proceedings of the Third Conference on Machine Translation (WMT), 2018 | 632 | 2018 |
| Negative Deceptive Opinion Spam M Ott, C Cardie, JT Hancock Proceedings of NAACL-HLT, 2013 | 520 | 2013 |
| Towards a general rule for identifying deceptive opinion spam J Li, M Ott, C Cardie, E Hovy Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014 | 438 | 2014 |
| Estimating the prevalence of deception in online review communities M Ott, C Cardie, J Hancock Proceedings of the 21st international conference on World Wide Web, 201-210, 2012 | 402 | 2012 |
| Facebook FAIR's WMT19 News Translation Task Submission N Ng, K Yee, A Baevski, M Ott, M Auli, S Edunov Proceedings of the Fourth Conference on Machine Translation (WMT), 2019 | 382 | 2019 |
| Multi-aspect Sentiment Analysis with Topic Models B Lu, M Ott, C Cardie, BK Tsou Proceedings of the ICDM 2011 Workshop on Sentiment Elicitation from Natural …, 2011 | 362 | 2011 |
| The FLoRes Evaluation Datasets for Low-Resource Machine Translation: Nepali-English and Sinhala-English F Guzmán, PJ Chen, M Ott, J Pino, G Lample, P Koehn, V Chaudhary, ... Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 278 | 2019 |
| Sustainable AI: Environmental implications, challenges and opportunities CJ Wu, R Raghavendra, U Gupta, B Acun, N Ardalani, K Maeng, G Chang, ... Proceedings of Machine Learning and Systems 4, 795-813, 2022 | 256 | 2022 |
| Analyzing Uncertainty in Neural Machine Translation M Ott, M Auli, D Grangier, MA Ranzato Proceedings of the 35th International Conference on Machine Learning, 2018 | 254 | 2018 |
| Classical Structured Prediction Losses for Sequence to Sequence Learning S Edunov, M Ott, M Auli, D Grangier, MA Ranzato Proceedings of NAACL-HLT 2018, 355-364, 2018 | 199 | 2018 |
| Pretrained language models for biomedical and clinical tasks: understanding and extending the state-of-the-art P Lewis, M Ott, J Du, V Stoyanov Proceedings of the 3rd clinical natural language processing workshop, 146-157, 2020 | 189 | 2020 |
Veselin StoyanovTome AIVerifierad e-postadress på fb.com
