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William Noble

2 accepted papers

2017

Training Compressed Fully-Connected Networks with a Density-Diversity Penalty

ICLR 2017poster

Deep models have achieved great success on a variety of challenging tasks. How- ever, the models that achieve great performance often have an enormous number of parameters, leading to correspondingly great demands on both computational and memory resources, especially for fully-connected layers. In…

Cited by 10SourceScholar