Nathan Ng - RankMe

18 papers A* 1Journal 12Unranked 4

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Improving Black-box Robustness with In-Context Rewriting. CoRR Kyle O'Brien, Nathan Ng, Isha Puri, Jorge Mendez, Hamid Palangi, Yoon Kim, Marzyeh Ghassemi, Thomas Hartvigsen
2024	J	`jnl`	Measuring Stochastic Data Complexity with Boltzmann Influence Functions. CoRR Nathan Ng, Roger B. Grosse, Marzyeh Ghassemi
2024	—	`—`	Robustness and Invariance in Neural Networks Nathan Ng
2023	J	`jnl`	Blind Biological Sequence Denoising with Self-Supervised Set Learning. CoRR Nathan Ng, Ji Won Park, Jae Hyeon Lee, Ryan Lewis Kelly, Stephen Ra, Kyunghyun Cho
2022	A*	`conf`	If Influence Functions are the Answer, Then What is the Question? NeurIPS Juhan Bae, Nathan Ng, Alston Lo, Marzyeh Ghassemi, Roger B. Grosse
2022	J	`jnl`	If Influence Functions are the Answer, Then What is the Question? CoRR Juhan Bae, Nathan Ng, Alston Lo, Marzyeh Ghassemi, Roger B. Grosse
2022	J	`jnl`	Predicting Out-of-Domain Generalization with Local Manifold Smoothness. CoRR Nathan Ng, Neha Hulkund, Kyunghyun Cho, Marzyeh Ghassemi
2020	J	`jnl`	Improving Dialogue Breakdown Detection with Semi-Supervised Learning. CoRR Nathan Ng, Marzyeh Ghassemi, Narendran Thangarajan, Jiacheng Pan, Qi Guo
2020	—	`conf`	SSMBA: Self-Supervised Manifold Based Data Augmentation for Improving Out-of-Domain Robustness. EMNLP (1) Nathan Ng, Kyunghyun Cho, Marzyeh Ghassemi
2020	J	`jnl`	SSMBA: Self-Supervised Manifold Based Data Augmentation for Improving Out-of-Domain Robustness. CoRR Nathan Ng, Kyunghyun Cho, Marzyeh Ghassemi
2019	—	`conf`	Embryo Staging with Weakly-Supervised Region Selection and Dynamically-Decoded Predictions. MLHC Tingfung Lau, Nathan Ng, Julian Gingold, Nina Desai, Julian J. McAuley, Zachary C. Lipton
2019	J	`jnl`	Embryo staging with weakly-supervised region selection and dynamically-decoded predictions. CoRR Tingfung Lau, Nathan Ng, Julian Gingold, Nina Desai, Julian J. McAuley, Zachary C. Lipton
2019	—	`conf`	Facebook FAIR's WMT19 News Translation Task Submission. WMT (2) Nathan Ng, Kyra Yee, Alexei Baevski, Myle Ott, Michael Auli, Sergey Edunov
2019	J	`jnl`	Facebook FAIR's WMT19 News Translation Task Submission. CoRR Nathan Ng, Kyra Yee, Alexei Baevski, Myle Ott, Michael Auli, Sergey Edunov
2019	J	`jnl`	Simple and Effective Noisy Channel Modeling for Neural Machine Translation. CoRR Kyra Yee, Nathan Ng, Yann N. Dauphin, Michael Auli
2019	—	`conf`	fairseq: A Fast, Extensible Toolkit for Sequence Modeling. NAACL-HLT (Demonstrations) Myle Ott, Sergey Edunov, Alexei Baevski, Angela Fan, Sam Gross, Nathan Ng, David Grangier, Michael Auli
2019	J	`jnl`	fairseq: A Fast, Extensible Toolkit for Sequence Modeling. CoRR Myle Ott, Sergey Edunov, Alexei Baevski, Angela Fan, Sam Gross, Nathan Ng, David Grangier, Michael Auli
2017	J	`jnl`	Predicting Surgery Duration with Neural Heteroscedastic Regression. CoRR Nathan Ng, Rodney A. Gabriel, Julian J. McAuley, Charles Elkan, Zachary C. Lipton