• Two Sides of Meta-Learning Evaluation: In vs. Out of Distribution
  Oscar Li*, Amrith Setlur*, Virginia Smith
  Neurips 2021
  [arxiv]

• Label Leakage and Protection in Two-party Split Learning
  Oscar Li, Jiankai Sun, Xin Yang, Weihao Gao, Hongyi Zhang, Junyuan Xie, Virginia Smith, Chong Wang
  In Submission
  [arxiv]
  Neurips 2020 SpicyFL Workshop

• Is Support Set Diversity Necessary for Meta-Learning?
  Amrith Setlur*, Oscar Li*, Virginia Smith
  Neurips 2020 MetaLearn Workshop
  [arxiv] [poster]

• This Looks Like That: Deep Learning for Interpretable Image Recognition
  Chaofan Chen*, Oscar Li*, Daniel Tao, Alina Barnett, Cynthia Rudin, Jonathan Su
  Neurips 2019 (spolight, top 3% papers)
  [arxiv] [talk (05:12)]

• Interpretable Image Recognition with Hierarchical Prototypes
  Peter Hase, Chaofan Chen, Oscar Li, Cynthia Rudin
  AAAI HCOMP 2019
  [arxiv]

• Deep Learning for Case-based Reasoning through prototypes: A Neural Network that explains its predictions
  Oscar Li*, Hao Liu*, Chaofan Chen, Cynthia Rudin
  AAAI 2018
  [arxiv]