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Benchmarking of DL Libraries and Models on Mobile Devices

Benchmarking of DL Libraries and Models on Mobile Devices

14 February 2022
Qiyang Zhang
Xiang Li
Xiangying Che
Xiao Ma
Ao Zhou
Mengwei Xu
Shangguang Wang
Yun Ma
Xuanzhe Liu
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Papers citing "Benchmarking of DL Libraries and Models on Mobile Devices"

10 / 10 papers shown
Title
Leveraging Neural Graph Compilers in Machine Learning Research for Edge-Cloud Systems
Leveraging Neural Graph Compilers in Machine Learning Research for Edge-Cloud Systems
Alireza Furutanpey
Carmen Walser
Philipp Raith
P. Frangoudis
Schahram Dustdar
GNN
NAI
83
0
0
28 Apr 2025
Energy and Time-Aware Inference Offloading for DNN-based Applications in
  LEO Satellites
Energy and Time-Aware Inference Offloading for DNN-based Applications in LEO Satellites
Yijie Chen
Qiyang Zhang
Yiran Zhang
Xiao Ma
Ao Zhou
28
3
0
22 Nov 2023
Disarming Steganography Attacks Inside Neural Network Models
Disarming Steganography Attacks Inside Neural Network Models
Ran Dubin
AAML
6
5
0
06 Sep 2023
Mobile Foundation Model as Firmware
Mobile Foundation Model as Firmware
Jinliang Yuan
Chenchen Yang
Dongqi Cai
Shihe Wang
Xin Yuan
...
Di Zhang
Hanzi Mei
Xianqing Jia
Shangguang Wang
Mengwei Xu
32
19
0
28 Aug 2023
Automation Slicing and Testing for in-App Deep Learning Models
Automation Slicing and Testing for in-App Deep Learning Models
Hao Wu
Yuhang Gong
Xiaopeng Ke
Hanzhong Liang
Minghao Li
Fengyuan Xu
Yunxin Liu
Sheng Zhong
31
1
0
15 May 2022
Smart at what cost? Characterising Mobile Deep Neural Networks in the
  wild
Smart at what cost? Characterising Mobile Deep Neural Networks in the wild
Mario Almeida
Stefanos Laskaridis
Abhinav Mehrotra
L. Dudziak
Ilias Leontiadis
Nicholas D. Lane
HAI
95
44
0
28 Sep 2021
It's always personal: Using Early Exits for Efficient On-Device CNN
  Personalisation
It's always personal: Using Early Exits for Efficient On-Device CNN Personalisation
Ilias Leontiadis
Stefanos Laskaridis
Stylianos I. Venieris
Nicholas D. Lane
63
29
0
02 Feb 2021
Scaling Up Online Speech Recognition Using ConvNets
Scaling Up Online Speech Recognition Using ConvNets
Vineel Pratap
Qiantong Xu
Jacob Kahn
Gilad Avidov
Tatiana Likhomanenko
Awni Y. Hannun
Vitaliy Liptchinsky
Gabriel Synnaeve
R. Collobert
125
38
0
27 Jan 2020
Chameleon: Adaptive Code Optimization for Expedited Deep Neural Network
  Compilation
Chameleon: Adaptive Code Optimization for Expedited Deep Neural Network Compilation
Byung Hoon Ahn
Prannoy Pilligundla
Amir Yazdanbakhsh
H. Esmaeilzadeh
ODL
53
80
0
23 Jan 2020
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
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
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