Illuminating Dark Knowledge via Random Matrix Ensembles

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It is all but certain that machine learning models based on deep neural networks will soon feature ubiquitously in a wide variety of critical products and services that people rely on. This should be a major cause of concern given that we still lack a rigorous understanding of the failure modes of these systems, and can hardly make guarantees about the conditions under which the models are expected to work... (read more)


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