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dateMore Than a Year Ago
subjectPerformance And Reliability
author Moritz Hardt

Understanding Deep Learning (Still) Requires Rethinking Generalization
From Communications of the ACM

Understanding Deep Learning (Still) Requires Rethinking Generalization

In this work, we presented a simple experimental framework for interrogating purported measures of generalization.

Guilt-Free Data Reuse
From Communications of the ACM

Guilt-Free Data Reuse

In this work, we initiate a principled study of how to guarantee the validity of statistical inference in adaptive data analysis.
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