11 citations · 32 across the 8 of their papers we have counts for
1 paper · 2 filters
Badr Youbi Idrissi, Martin Arjovsky, Mohammad Pezeshki +1
We study the problem of learning classifiers that perform well across (known or unknown) groups of data. After observing that common worst-group-accuracy datasets suffer from subst…