MetaTune: Meta-Learning Based Cost Model for Fast and Efficient Auto-tuning Frameworks

8 February 2021

Papers citing "MetaTune: Meta-Learning Based Cost Model for Fast and Efficient Auto-tuning Frameworks"

6 / 6 papers shown

Title
Tensor Program Optimization with Probabilistic Programs Junru Shao Xiyou Zhou Siyuan Feng Bohan Hou Ruihang Lai Hongyi Jin Wuwei Lin Masahiro Masuda Cody Hao Yu Tianqi Chen 34 29 0 26 May 2022
Moses: Efficient Exploitation of Cross-device Transferable Features for Tensor Program Optimization Zhihe Zhao Xian Shuai Yang Bai Neiwen Ling Nan Guan Zhenyu Yan Guoliang Xing 22 6 0 15 Jan 2022
FamilySeer: Towards Optimized Tensor Codes by Exploiting Computation Subgraph Similarity Shanjun Zhang Mingzhen Li Hailong Yang Yi Liu Zhongzhi Luan D. Qian 21 0 0 01 Jan 2022
A Survey of Machine Learning for Computer Architecture and Systems Nan Wu Yuan Xie AI4TS AI4CE 12 144 0 16 Feb 2021
Chameleon: Adaptive Code Optimization for Expedited Deep Neural Network Compilation Byung Hoon Ahn Prannoy Pilligundla Amir Yazdanbakhsh H. Esmaeilzadeh ODL 61 80 0 23 Jan 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 338 11,684 0 09 Mar 2017