AGO: Boosting Mobile AI Inference Performance by Removing Constraints on Graph Optimization

2 December 2022

Papers citing "AGO: Boosting Mobile AI Inference Performance by Removing Constraints on Graph Optimization"

5 / 5 papers shown

Title
MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer Sachin Mehta Mohammad Rastegari ViT 189 1,200 0 05 Oct 2021
Generalization in NLI: Ways (Not) To Go Beyond Simple Heuristics Prajjwal Bhargava Aleksandr Drozd Anna Rogers 87 101 0 04 Oct 2021
Equality Saturation for Tensor Graph Superoptimization Yichen Yang Mangpo Phitchaya Phothilimtha Y. Wang Max Willsey Sudip Roy Jacques Pienaar 32 80 0 05 Jan 2021
Ordering Chaos: Memory-Aware Scheduling of Irregularly Wired Neural Networks for Edge Devices Byung Hoon Ahn Jinwon Lee J. Lin Hsin-Pai Cheng Jilei Hou H. Esmaeilzadeh 62 54 0 04 Mar 2020
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 948 20,471 0 17 Apr 2017