Nathan Ng

发表

Predicting Surgery Duration with Neural Heteroscedastic Regression pdf

Charles Elkan, Julian J. McAuley, Nathan Ng, 2017, MLHC.

Embryo staging with weakly-supervised region selection and dynamically-decoded predictions pdf

Julian J. McAuley, Tingfung Lau, Nathan Ng, 2019, MLHC.

fairseq: A Fast, Extensible Toolkit for Sequence Modeling

Myle Ott, Nathan Ng, Sergey Edunov, 2019, NAACL.

Predicting embryo morphokinetic annotations from time-lapse videos using convolutional neural networks

Julian Gingold, Zachary C. Lipton, Julian McAuley, 2018, Fertility and Sterility.

Predicting Out-of-Domain Generalization with Local Manifold Smoothness

M. Ghassemi, Nathan Ng, Kyunghyun Cho, 2022, ArXiv.

Predicting Out-of-Domain Generalization with Local Manifold Smoothness

M. Ghassemi, Nathan Ng, Kyunghyun Cho, 2022, ArXiv.

If Influence Functions are the Answer, Then What is the Question?

M. Ghassemi, Nathan Ng, Juhan Bae, 2022, NeurIPS.

Facebook FAIR’s WMT19 News Translation Task Submission pdf

Myle Ott, Nathan Ng, Sergey Edunov, 2019, WMT.

SSMBA: Self-Supervised Manifold Based Data Augmentation for Improving Out-of-Domain Robustness

Kyunghyun Cho, M. Ghassemi, Nathan Ng, 2020, EMNLP.

Simple and Effective Noisy Channel Modeling for Neural Machine Translation pdf

Nathan Ng, Michael Auli, Kyra Yee, 2019, EMNLP.

Facebook FAIR’s WMT19 News Translation Task Submission

Myle Ott, Michael Auli, Alexei Baevski, 2019, WMT.

Predicting Out-of-Domain Generalization with Neighborhood Invariance

Kyunghyun Cho, M. Ghassemi, Nathan Ng, 2022, 2207.02093.

Predicting Embryo Morphokinetics in Videos with Late Fusion Nets & Dynamic Decoders

Julian J. McAuley, Julian Gingold, Nina Desai, 2018, ICLR.

Blind Biological Sequence Denoising with Self-Supervised Set Learning

Kyunghyun Cho, Nathan Ng, Ji Won Park, 2023, ArXiv.