15 citations · 33 across the 11 of their papers we have counts for
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cs.CV2019★ 5 cited
Towards Learning of Filter-Level Heterogeneous Compression of Convolutional Neural Networks
Yochai Zur, Chaim Baskin, Evgenii Zheltonozhskii +4
Recently, deep learning has become a de facto standard in machine learning with convolutional neural networks (CNNs) demonstrating spectacular success on a wide variety of tasks. H…
cs.LG2019★ 15 cited
How do infinite width bounded norm networks look in function space?
Pedro Savarese, Itay Evron, Daniel Soudry +1
We consider the question of what functions can be captured by ReLU networks with an unbounded number of units (infinite width), but where the overall network Euclidean norm (sum of…