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2202.06512
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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
Yudong Han
Xuanzhe Liu
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Papers citing
"Benchmarking of DL Libraries and Models on Mobile Devices"
35 / 35 papers shown
Title
Smart at what cost? Characterising Mobile Deep Neural Networks in the wild
Mario Almeida
Stefanos Laskaridis
Abhinav Mehrotra
Łukasz Dudziak
Ilias Leontiadis
Nicholas D. Lane
HAI
129
45
0
28 Sep 2021
Adaptive Inference through Early-Exit Networks: Design, Challenges and Directions
Stefanos Laskaridis
Alexandros Kouris
Nicholas D. Lane
TPM
77
113
0
09 Jun 2021
It's always personal: Using Early Exits for Efficient On-Device CNN Personalisation
Ilias Leontiadis
Stefanos Laskaridis
Stylianos I. Venieris
Nicholas D. Lane
86
29
0
02 Feb 2021
SPINN: Synergistic Progressive Inference of Neural Networks over Device and Cloud
Stefanos Laskaridis
Stylianos I. Venieris
Mario Almeida
Ilias Leontiadis
Nicholas D. Lane
55
269
0
14 Aug 2020
Ansor: Generating High-Performance Tensor Programs for Deep Learning
Lianmin Zheng
Chengfan Jia
Minmin Sun
Zhao Wu
Cody Hao Yu
...
Jun Yang
Danyang Zhuo
Koushik Sen
Joseph E. Gonzalez
Ion Stoica
120
391
0
11 Jun 2020
Comparison and Benchmarking of AI Models and Frameworks on Mobile Devices
Chunjie Luo
Xiwen He
Jianfeng Zhan
Lei Wang
Wanling Gao
Jiahui Dai
ELM
37
58
0
07 May 2020
Efficient Bitwidth Search for Practical Mixed Precision Neural Network
Yuhang Li
Wei Wang
Haoli Bai
Ruihao Gong
Xin Dong
F. Yu
MQ
33
20
0
17 Mar 2020
CLUECorpus2020: A Large-scale Chinese Corpus for Pre-training Language Model
Liang Xu
Xuanwei Zhang
Qianqian Dong
SSL
38
70
0
03 Mar 2020
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
186
38
0
27 Jan 2020
Chameleon: Adaptive Code Optimization for Expedited Deep Neural Network Compilation
Byung Hoon Ahn
Prannoy Pilligundla
Amir Yazdanbakhsh
H. Esmaeilzadeh
ODL
72
80
0
23 Jan 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
300
42,038
0
03 Dec 2019
Filter Response Normalization Layer: Eliminating Batch Dependence in the Training of Deep Neural Networks
Saurabh Singh
Shankar Krishnan
UQCV
93
126
0
21 Nov 2019
AI Benchmark: All About Deep Learning on Smartphones in 2019
Andrey D. Ignatov
Radu Timofte
Andrei Kulik
Seungsoo Yang
Ke Wang
Felix Baum
Max Wu
Lirong Xu
Luc Van Gool
ELM
39
220
0
15 Oct 2019
MLPerf Training Benchmark
Arya D. McCarthy
Christine Cheng
Cody Coleman
Greg Diamos
Paulius Micikevicius
...
Carole-Jean Wu
Lingjie Xu
Masafumi Yamazaki
C. Young
Matei A. Zaharia
77
307
0
02 Oct 2019
EmBench: Quantifying Performance Variations of Deep Neural Networks across Modern Commodity Devices
Mario Almeida
Stefanos Laskaridis
Ilias Leontiadis
Stylianos I. Venieris
Nicholas D. Lane
36
74
0
17 May 2019
Video Analytics with Zero-streaming Cameras
Mengwei Xu
Tiantu Xu
Yunxin Liu
F. Lin
36
25
0
28 Apr 2019
Depthwise Convolution is All You Need for Learning Multiple Visual Domains
Yunhui Guo
Yandong Li
Rogerio Feris
Liqiang Wang
Tajana Simunic
OOD
52
147
0
03 Feb 2019
A First Look at Deep Learning Apps on Smartphones
Mengwei Xu
Jiawei Liu
Yuanqiang Liu
F. Lin
Yunxin Liu
Xuanzhe Liu
HAI
53
181
0
08 Nov 2018
AI Benchmark: Running Deep Neural Networks on Android Smartphones
Andrey D. Ignatov
Radu Timofte
William Chou
Ke Wang
Max Wu
Tim Hartley
Luc Van Gool
ELM
58
322
0
02 Oct 2018
MnasNet: Platform-Aware Neural Architecture Search for Mobile
Mingxing Tan
Bo Chen
Ruoming Pang
Vijay Vasudevan
Mark Sandler
Andrew G. Howard
Quoc V. Le
MQ
102
2,995
0
31 Jul 2018
YOLOv3: An Incremental Improvement
Joseph Redmon
Ali Farhadi
ObjD
98
21,306
0
08 Apr 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks
Mark Sandler
Andrew G. Howard
Menglong Zhu
A. Zhmoginov
Liang-Chieh Chen
158
19,124
0
13 Jan 2018
Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference
Benoit Jacob
S. Kligys
Bo Chen
Menglong Zhu
Matthew Tang
Andrew G. Howard
Hartwig Adam
Dmitry Kalenichenko
MQ
126
3,090
0
15 Dec 2017
DeepCache: Principled Cache for Mobile Deep Vision
Mengwei Xu
Mengze Zhu
Yunxin Liu
F. Lin
Xuanzhe Liu
VLM
77
201
0
01 Dec 2017
Learning Transferable Architectures for Scalable Image Recognition
Barret Zoph
Vijay Vasudevan
Jonathon Shlens
Quoc V. Le
148
5,577
0
21 Jul 2017
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
1.1K
20,747
0
17 Apr 2017
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
651
36,599
0
25 Aug 2016
Fathom: Reference Workloads for Modern Deep Learning Methods
Robert Adolf
Saketh Rama
Brandon Reagen
Gu-Yeon Wei
David Brooks
40
182
0
23 Aug 2016
TensorFlow: A system for large-scale machine learning
Martín Abadi
P. Barham
Jianmin Chen
Zhiwen Chen
Andy Davis
...
Vijay Vasudevan
Pete Warden
Martin Wicke
Yuan Yu
Xiaoqiang Zhang
GNN
AI4CE
349
18,300
0
27 May 2016
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size
F. Iandola
Song Han
Matthew W. Moskewicz
Khalid Ashraf
W. Dally
Kurt Keutzer
130
7,448
0
24 Feb 2016
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
Christian Szegedy
Sergey Ioffe
Vincent Vanhoucke
Alexander A. Alemi
311
14,196
0
23 Feb 2016
SSD: Single Shot MultiBox Detector
Wen Liu
Dragomir Anguelov
D. Erhan
Christian Szegedy
Scott E. Reed
Cheng-Yang Fu
Alexander C. Berg
ObjD
BDL
152
29,646
0
08 Dec 2015
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DV
BDL
539
27,231
0
02 Dec 2015
Deep Learning with Limited Numerical Precision
Suyog Gupta
A. Agrawal
K. Gopalakrishnan
P. Narayanan
HAI
141
2,043
0
09 Feb 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.0K
99,991
0
04 Sep 2014
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