most citedN2N Learning: Network to Network Compression via Policy Gradient Reinforcement Learning

116 citations · 116 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2019

Architecture Compression

Anubhav Ashok

In this paper we propose a novel approach to model compression termed Architecture Compression. Instead of operating on the weight or filter space of the network like classical mod…

cs.LG2017★ 116 cited

N2N Learning: Network to Network Compression via Policy Gradient Reinforcement Learning

Anubhav Ashok, Nicholas Rhinehart, Fares Beainy +1

While bigger and deeper neural network architectures continue to advance the state-of-the-art for many computer vision tasks, real-world adoption of these networks is impeded by ha…