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Benchmarking TinyML Systems: Challenges and Direction

Benchmarking TinyML Systems: Challenges and Direction

10 March 2020
Colby R. Banbury
Vijay Janapa Reddi
Max Lam
William Fu
A. Fazel
J. Holleman
Xinyuan Huang
R. Hurtado
David Kanter
Anton Lokhmotov
David A. Patterson
Danilo Pau
Jae-sun Seo
Jeff Sieracki
Urmish Thakker
Marian Verhelst
Poonam Yadav
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Papers citing "Benchmarking TinyML Systems: Challenges and Direction"

4 / 4 papers shown
Title
AlphaGrad: Non-Linear Gradient Normalization Optimizer
AlphaGrad: Non-Linear Gradient Normalization Optimizer
Soham Sane
ODL
34
0
0
22 Apr 2025
TinyFormer: Efficient Transformer Design and Deployment on Tiny Devices
TinyFormer: Efficient Transformer Design and Deployment on Tiny Devices
Jianlei Yang
Jiacheng Liao
Fanding Lei
Meichen Liu
Junyi Chen
Lingkun Long
Han Wan
Bei Yu
Weisheng Zhao
MoE
18
2
0
03 Nov 2023
A TinyML Platform for On-Device Continual Learning with Quantized Latent
  Replays
A TinyML Platform for On-Device Continual Learning with Quantized Latent Replays
Leonardo Ravaglia
Manuele Rusci
D. Nadalini
Alessandro Capotondi
Francesco Conti
Luca Benini
BDL
29
62
0
20 Oct 2021
MIMII Dataset: Sound Dataset for Malfunctioning Industrial Machine
  Investigation and Inspection
MIMII Dataset: Sound Dataset for Malfunctioning Industrial Machine Investigation and Inspection
Harsh Purohit
Ryo Tanabe
K. Ichige
Takashi Endo
Yuki Nikaido
Kaori Suefusa
Y. Kawaguchi
62
299
0
20 Sep 2019
1