1.1k citations · 1.3k across the 12 of their papers we have counts for
Showing 2016Show 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★ 4 cited
KeystoneML: Optimizing Pipelines for Large-Scale Advanced Analytics
Evan R. Sparks, Shivaram Venkataraman, Tomer Kaftan +2
Modern advanced analytics applications make use of machine learning techniques and contain multiple steps of domain-specific and general-purpose processing with high resource requi…