113 citations · 232 across the 18 of their papers we have counts for
4 papers · 1 filter
Distilling with Performance Enhanced Students
Jack Turner, Elliot J. Crowley, Valentin Radu +3
The task of accelerating large neural networks on general purpose hardware has, in recent years, prompted the use of channel pruning to reduce network size. However, the efficacy o…
A Closer Look at Structured Pruning for Neural Network Compression
Elliot J. Crowley, Jack Turner, Amos Storkey +1
Structured pruning is a popular method for compressing a neural network: given a large trained network, one alternates between removing channel connections and fine-tuning; reducin…
SLAMBench2: Multi-Objective Head-to-Head Benchmarking for Visual SLAM
Bruno Bodin, Harry Wagstaff, Sajad Saeedi +9
SLAM is becoming a key component of robotics and augmented reality (AR) systems. While a large number of SLAM algorithms have been presented, there has been little effort to unify…
Machine Learning in Compiler Optimisation
Zheng Wang, Michael O'Boyle
In the last decade, machine learning based compilation has moved from an an obscure research niche to a mainstream activity. In this article, we describe the relationship between m…