| 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 | 1999 | 2019 |
| 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 | 275 | 2019 |
| SSMBA: Self-supervised manifold based data augmentation for improving out-of-domain robustness N Ng, K Cho, M Ghassemi arXiv preprint arXiv:2009.10195, 2020 | 59 | 2020 |
| Simple and effective noisy channel modeling for neural machine translation K Yee, N Ng, YN Dauphin, M Auli arXiv preprint arXiv:1908.05731, 2019 | 57 | 2019 |
| Predicting surgery duration with neural heteroscedastic regression NH Ng, RA Gabriel, J McAuley, C Elkan, ZC Lipton Machine Learning for Healthcare Conference, 100-111, 2017 | 24 | 2017 |
| Embryo staging with weakly-supervised region selection and dynamically-decoded predictions T Lau, N Ng, J Gingold, N Desai, J McAuley, ZC Lipton Machine Learning for Healthcare Conference, 663-679, 2019 | 21* | 2019 |
| Improving dialogue breakdown detection with semi-supervised learning N Ng, M Ghassemi, N Thangarajan, J Pan, Q Guo arXiv preprint arXiv:2011.00136, 2020 | 6 | 2020 |
| If Influence Functions are the Answer, Then What is the Question? J Bae, N Ng, A Lo, M Ghassemi, R Grosse arXiv preprint arXiv:2209.05364, 2022 | 3 | 2022 |
| Predicting out-of-domain generalization with local manifold smoothness N Ng, K Cho, N Hulkund, M Ghassemi arXiv preprint arXiv:2207.02093, 2022 | 2 | 2022 |
Michael AuliFacebook AI ResearchPotvrđena adresa e-pošte na fb.com
