343 citations · 494 across the 18 of their papers we have counts for
Showing 2022 · cs.LGShow all
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cs.LG2022★ 2 cited
AANG: Automating Auxiliary Learning
Lucio M. Dery, Paul Michel, Mikhail Khodak +2
Auxiliary objectives, supplementary learning signals that are introduced to help aid learning on data-starved or highly complex end-tasks, are commonplace in machine learning. Whil…
cs.LG2022★ 2 cited
Distributionally Robust Models with Parametric Likelihood Ratios
Paul Michel, Tatsunori Hashimoto, Graham Neubig
As machine learning models are deployed ever more broadly, it becomes increasingly important that they are not only able to perform well on their training distribution, but also yi…