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DTMM: Deploying TinyML Models on Extremely Weak IoT Devices with Pruning

DTMM: Deploying TinyML Models on Extremely Weak IoT Devices with Pruning

17 January 2024
Lixiang Han
Zhen Xiao
Zhenjiang Li
ArXivPDFHTML

Papers citing "DTMM: Deploying TinyML Models on Extremely Weak IoT Devices with Pruning"

4 / 4 papers shown
Title
AutoSculpt: A Pattern-based Model Auto-pruning Framework Using
  Reinforcement Learning and Graph Learning
AutoSculpt: A Pattern-based Model Auto-pruning Framework Using Reinforcement Learning and Graph Learning
Lixian Jing
Jianpeng Qi
Junyu Dong
Yanwei Yu
3DPC
AI4CE
39
0
0
24 Dec 2024
TensorFlow Lite Micro: Embedded Machine Learning on TinyML Systems
TensorFlow Lite Micro: Embedded Machine Learning on TinyML Systems
R. David
Jared Duke
Advait Jain
Vijay Janapa Reddi
Nat Jeffries
...
Meghna Natraj
Shlomi Regev
Rocky Rhodes
Tiezhen Wang
Pete Warden
105
465
0
17 Oct 2020
Benchmarking TinyML Systems: Challenges and Direction
Benchmarking TinyML Systems: Challenges and Direction
Colby R. Banbury
Vijay Janapa Reddi
Max Lam
William Fu
A. Fazel
...
Jae-sun Seo
Jeff Sieracki
Urmish Thakker
Marian Verhelst
Poonam Yadav
98
228
0
10 Mar 2020
You Only Look Once: Unified, Real-Time Object Detection
You Only Look Once: Unified, Real-Time Object Detection
Joseph Redmon
S. Divvala
Ross B. Girshick
Ali Farhadi
ObjD
286
36,320
0
08 Jun 2015
1