hi, i'm nathan ng

refereed publications

• Measuring Stochastic Data Complexity with Boltzmann Influence Functions
  

  Nathan Ng, Roger Grosse, Marzyeh Ghassemi
  ICML 2024
• Improving Black-box Robustness with In-Context Rewriting
  

  Kyle O'Brien, Nathan Ng, Isha Puri, Jorge Mendez, Hamid Palangi, Yoon Kim, Marzyeh Ghassemi, Thomas Hartvigsen
• Blind Biological Sequence Denoising with Self-Supervised Set Learning
  

  Nathan Ng, Ji Won Park, Jae Hyeon Lee, Ryan Lewis Kelly, Stephen Ra, Kyunghyun Cho
  TMLR 2024
• Predicting Out-of-Domain Generalization with Neighborhood Invariance
  

  Nathan Ng, Neha Hulkund, Kyunghyun Cho, Marzyeh Ghassemi
  TMLR 2023
• If Influence Functions are the Answer, Then What is the Question?
  

  Juhan Bae, Nathan Ng, Alston Lo, Marzyeh Ghassemi, Roger Grosse
  NeurIPS 2022
• SSMBA: Self-Supervised Manifold Based Data Augmentation for Improving Out-of-Domain Robustness
  

  Nathan Ng, Kyunghyun Cho, Marzyeh Ghassemi
  EMNLP 2020
• Embryo Staging with Weakly-Supervised Region Selection and Dynamically-Decoded Predictions
  

  Tingfung Lau, Nathan Ng, Julian Gingold, Nina Desai, Julian McAuley, Zachary C Lipton
  MLHC 2019
• Simple and Effective Noisy Channel Modeling for Neural Machine Translation
  

  Kyra Yee, Nathan Ng, Yann N Dauphin, Michael Auli
  EMNLP 2019

workshop publications

• Improving Dialogue Breakdown Detection with Semi-Supervised Learning
  

  Nathan Ng, Marzyeh Ghassemi, Narendran Thangarajan, Jiacheng Pan, Qi Guo
  NeurIPS 2020 Workshop on Human in the Loop Dialogue Systems (oral)
• Facebook FAIR's WMT19 News Translation Task Submission
  

  Nathan Ng, Kyra Yee, Alexei Baevski, Myle Ott, Michael Auli, Sergey Edunov
  Workshop on Machine Translation at ACL 2019
• Predicting Embryo Morphokinetics in Videos with Late Fusion Nets & Dynamic Decoders
  

  Nathan Ng, Julian McAuley, Julian A. Gingold, Nina Desai, Zachary C. Lipton
  ICLR 2018 Workshop