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Datasheets for Machine Learning Sensors: Towards Transparency, Auditability, and Responsibility for Intelligent Sensing
15 June 2023
Matthew P. Stewart
Pete Warden
Yasmine Omri
Shvetank Prakash
Joao Santos
Shawn Hymel
Benjamin Brown
Jim MacArthur
Nat Jeffries
Sachin Katti
Brian Plancher
Vijay Janapa Reddi
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Papers citing
"Datasheets for Machine Learning Sensors: Towards Transparency, Auditability, and Responsibility for Intelligent Sensing"
4 / 4 papers shown
Title
Materiality and Risk in the Age of Pervasive AI Sensors
Matthew P. Stewart
Emanuel Moss
Pete Warden
Brian Plancher
Susan Kennedy
Mona Sloane
Vijay Janapa Reddi
19
2
0
17 Feb 2024
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
115
230
0
10 Mar 2020
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
335
4,230
0
23 Aug 2019
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
950
20,599
0
17 Apr 2017
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