Optimizing Deep Learning Inference on Embedded Systems Through Adaptive Model Selection

9 November 2019

Papers citing "Optimizing Deep Learning Inference on Embedded Systems Through Adaptive Model Selection"

8 / 8 papers shown

Title
Enabling All In-Edge Deep Learning: A Literature Review Praveen Joshi Mohammed Hasanuzzaman Chandra Thapa Haithem Afli T. Scully 23 22 0 07 Apr 2022
Dynamic GPU Energy Optimization for Machine Learning Training Workloads Farui Wang Weizhe Zhang Shichao Lai Meng Hao Zheng Wang 22 29 0 05 Jan 2022
TOD: Transprecise Object Detection to Maximise Real-Time Accuracy on the Edge JunKyu Lee Blesson Varghese Roger Francis Woods Hans Vandierendonck 17 13 0 18 May 2021
Advances in Electron Microscopy with Deep Learning Jeffrey M. Ede 32 2 0 04 Jan 2021
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 31 79 0 17 Sep 2020
On-Device Machine Learning: An Algorithms and Learning Theory Perspective Sauptik Dhar Junyao Guo Jiayi Liu S. Tripathi Unmesh Kurup Mohak Shah 17 141 0 02 Nov 2019
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,743 0 26 Sep 2016
Convolutional Neural Networks for Sentence Classification Yoon Kim AILaw VLM 255 13,364 0 25 Aug 2014