1.9k citations · 3.1k across the 6 of their papers we have counts for
Showing 2016 · cs.LGShow all
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cs.LG2016★ 1.1k cited
Understanding deep learning requires rethinking generalization
Chiyuan Zhang, Samy Bengio, Moritz Hardt +2
Despite their massive size, successful deep artificial neural networks can exhibit a remarkably small difference between training and test performance. Conventional wisdom attribut…
cs.LG2016★ 1.9k cited
Equality of Opportunity in Supervised Learning
Moritz Hardt, Eric Price, Nathan Srebro
We propose a criterion for discrimination against a specified sensitive attribute in supervised learning, where the goal is to predict some target based on available features. Assu…