118 citations · 363 across the 33 of their papers we have counts for
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stat.ML2020★ 28 cited
What Do Neural Networks Learn When Trained With Random Labels?
Hartmut Maennel, Ibrahim Alabdulmohsin, Ilya Tolstikhin +4
We study deep neural networks (DNNs) trained on natural image data with entirely random labels. Despite its popularity in the literature, where it is often used to study memorizati…
cs.LG2020★ 2 cited
Fair Classification via Unconstrained Optimization
Ibrahim Alabdulmohsin
Achieving the Bayes optimal binary classification rule subject to group fairness constraints is known to be reducible, in some cases, to learning a group-wise thresholding rule ove…