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Nathan Hoyen Ng
Nathan Hoyen Ng
Verifierad e-postadress på cs.toronto.edu
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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
14752019
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
2002019
Simple and effective noisy channel modeling for neural machine translation
K Yee, N Ng, YN Dauphin, M Auli
arXiv preprint arXiv:1908.05731, 2019
452019
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
382020
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
192017
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
11*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
32020
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Artiklar 1–7