15 citations · 15 across the 1 of their papers we have counts for
3 papers
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…
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…
Efficient Loss-Based Decoding on Graphs For Extreme Classification
Itay Evron, Edward Moroshko, Koby Crammer
In extreme classification problems, learning algorithms are required to map instances to labels from an extremely large label set. We build on a recent extreme classification frame…