Machine Learning in Compiler Optimisation

9 May 2018

Papers citing "Machine Learning in Compiler Optimisation"

8 / 8 papers shown

Title
Improving Spark Application Throughput Via Memory Aware Task Co-location: A Mixture of Experts Approach Vicent Sanz Marco Ben Taylor Barry Porter Ziyi Wang 32 58 0 02 Oct 2017
A Survey of Machine Learning for Big Code and Naturalness Miltiadis Allamanis Earl T. Barr Premkumar T. Devanbu Charles Sutton 97 846 0 18 Sep 2017
An Introduction to the Practical and Theoretical Aspects of Mixture-of-Experts Modeling Hien Nguyen Faicel Chamroukhi MoE 21 7 0 12 Jul 2017
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 136 1,517 0 25 Jan 2017
FEAST: An Automated Feature Selection Framework for Compilation Tasks Pai-Shun Ting Chun-Chen Tu Pin-Yu Chen Ya-Yun Lo Shin-Ming Cheng 22 20 0 29 Oct 2016
Deep API Learning Xiaodong Gu Hongyu Zhang Dongmei Zhang Sunghun Kim AIMat HAI 54 558 0 27 May 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.4K 192,638 0 10 Dec 2015
Machine Learning for Galaxy Morphology Classification A. Gauci K. Adami J. Abela 78 35 0 03 May 2010