560 citations · 820 across the 9 of their papers we have counts for
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cs.LG2021★ 1 cited
Two Sides of Meta-Learning Evaluation: In vs. Out of Distribution
Amrith Setlur, Oscar Li, Virginia Smith
We categorize meta-learning evaluation into two settings: [ID], in which the train and test tasks are sampled from the same underlying tas…
cs.LG2021★ 64 cited
Label Leakage and Protection in Two-party Split Learning
Oscar Li, Jiankai Sun, Xin Yang +5
Two-party split learning is a popular technique for learning a model across feature-partitioned data. In this work, we explore whether it is possible for one party to steal the pri…