| 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 | 2888 | 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 | 382 | 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 | 121 | 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 | 74 | 2019 |
| If influence functions are the answer, then what is the question? J Bae, N Ng, A Lo, M Ghassemi, RB Grosse Advances in Neural Information Processing Systems 35, 17953-17967, 2022 | 47 | 2022 |
| 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 | 27 | 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 | 23* | 2019 |
| Predicting Out-of-Domain Generalization with Neighborhood Invariance N Ng, N Hulkund, K Cho, M Ghassemi arXiv preprint arXiv:2207.02093, 2022 | 13* | 2022 |
| Improving dialogue breakdown detection with semi-supervised learning N Ng, M Ghassemi, N Thangarajan, J Pan, Q Guo arXiv preprint arXiv:2011.00136, 2020 | 8 | 2020 |
| Improving Black-box Robustness with In-Context Rewriting K O'Brien, N Ng, I Puri, J Mendez, H Palangi, Y Kim, M Ghassemi, ... arXiv preprint arXiv:2402.08225, 2024 | | 2024 |
| Blind Biological Sequence Denoising with Self-Supervised Set Learning NH Ng, JW Park, JH Lee, RL Kelly, S Ra, K Cho Transactions on Machine Learning Research, 2023 | | 2023 |
Michael AuliMeta, FAIRPotvrđena adresa e-pošte na meta.com
