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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"

29 / 79 papers shown
Title
CFU Playground: Full-Stack Open-Source Framework for Tiny Machine
  Learning (tinyML) Acceleration on FPGAs
CFU Playground: Full-Stack Open-Source Framework for Tiny Machine Learning (tinyML) Acceleration on FPGAs
Shvetank Prakash
Tim Callahan
Joseph R. Bushagour
Colby R. Banbury
Alan V. Green
Pete Warden
Tim Ansell
Vijay Janapa Reddi
30
30
0
05 Jan 2022
Beyond Low Earth Orbit: Biomonitoring, Artificial Intelligence, and
  Precision Space Health
Beyond Low Earth Orbit: Biomonitoring, Artificial Intelligence, and Precision Space Health
Ryan T. Scott
E. Antonsen
Lauren M Sanders
Jaden J. A. Hastings
Seung-min Park
...
Baltimore.
Biochemistry
Jason H. Yang
Re-Emerging Pathogens
Harvard University
12
7
0
22 Dec 2021
TinyML Platforms Benchmarking
TinyML Platforms Benchmarking
Anas Osman
Usman Abid
Luca Gemma
Matteo Perotto
Davide Brunelli
ELM
30
15
0
30 Nov 2021
Energy-Efficient Inference on the Edge Exploiting TinyML Capabilities
  for UAVs
Energy-Efficient Inference on the Edge Exploiting TinyML Capabilities for UAVs
Wamiq Raza
Anas Osman
F. Ferrini
F. D. De Natale
21
29
0
30 Nov 2021
TiWS-iForest: Isolation Forest in Weakly Supervised and Tiny ML
  scenarios
TiWS-iForest: Isolation Forest in Weakly Supervised and Tiny ML scenarios
T. Barbariol
Gian Antonio Susto
15
20
0
30 Nov 2021
A Survey on Hyperdimensional Computing aka Vector Symbolic
  Architectures, Part II: Applications, Cognitive Models, and Challenges
A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part II: Applications, Cognitive Models, and Challenges
Denis Kleyko
D. Rachkovskij
Evgeny Osipov
A. Rahim
24
126
0
12 Nov 2021
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
39
64
0
20 Oct 2021
TinyFedTL: Federated Transfer Learning on Tiny Devices
TinyFedTL: Federated Transfer Learning on Tiny Devices
Kavya Kopparapu
Eric Lin
78
18
0
03 Oct 2021
DeepEdgeBench: Benchmarking Deep Neural Networks on Edge Devices
DeepEdgeBench: Benchmarking Deep Neural Networks on Edge Devices
Stephan Patrick Baller
Anshul Jindal
Mohak Chadha
Michael Gerndt
9
71
0
21 Aug 2021
Tiny Machine Learning for Concept Drift
Tiny Machine Learning for Concept Drift
Simone Disabato
M. Roveri
11
27
0
30 Jul 2021
Revisiting IoT Device Identification
Revisiting IoT Device Identification
Roman Kolcun
Diana Andreea Popescu
Vadim Safronov
Poonam Yadav
A. Mandalari
Richard Mortier
Hamed Haddadi
27
30
0
16 Jul 2021
A Construction Kit for Efficient Low Power Neural Network Accelerator
  Designs
A Construction Kit for Efficient Low Power Neural Network Accelerator Designs
Petar Jokic
E. Azarkhish
Andrea Bonetti
M. Pons
S. Emery
Luca Benini
16
3
0
24 Jun 2021
Generalized Learning Vector Quantization for Classification in
  Randomized Neural Networks and Hyperdimensional Computing
Generalized Learning Vector Quantization for Classification in Randomized Neural Networks and Hyperdimensional Computing
Cameron Diao
Denis Kleyko
J. Rabaey
Bruno A. Olshausen
26
26
0
17 Jun 2021
Widening Access to Applied Machine Learning with TinyML
Widening Access to Applied Machine Learning with TinyML
Vijay Janapa Reddi
Brian Plancher
Susan Kennedy
L. Moroney
Pete Warden
...
Dominic Pajak
Dhilan Ramaprasad
J. E. Smith
Matthew P. Stewart
D. Tingley
19
51
0
07 Jun 2021
Bottom-up and top-down approaches for the design of neuromorphic
  processing systems: Tradeoffs and synergies between natural and artificial
  intelligence
Bottom-up and top-down approaches for the design of neuromorphic processing systems: Tradeoffs and synergies between natural and artificial intelligence
Charlotte Frenkel
D. Bol
Giacomo Indiveri
31
33
0
02 Jun 2021
Measuring what Really Matters: Optimizing Neural Networks for TinyML
Measuring what Really Matters: Optimizing Neural Networks for TinyML
Lennart Heim
Andreas Biri
Zhongnan Qu
Lothar Thiele
46
30
0
21 Apr 2021
TENT: Efficient Quantization of Neural Networks on the tiny Edge with
  Tapered FixEd PoiNT
TENT: Efficient Quantization of Neural Networks on the tiny Edge with Tapered FixEd PoiNT
H. F. Langroudi
Vedant Karia
Tej Pandit
Dhireesha Kudithipudi
MQ
19
10
0
06 Apr 2021
hls4ml: An Open-Source Codesign Workflow to Empower Scientific Low-Power
  Machine Learning Devices
hls4ml: An Open-Source Codesign Workflow to Empower Scientific Low-Power Machine Learning Devices
F. Fahim
B. Hawks
C. Herwig
J. Hirschauer
S. Jindariani
...
J. Ngadiuba
Miaoyuan Liu
Duc Hoang
E. Kreinar
Zhenbin Wu
22
129
0
09 Mar 2021
TinyML for Ubiquitous Edge AI
TinyML for Ubiquitous Edge AI
S. Soro
16
37
0
02 Feb 2021
WDR FACE: The First Database for Studying Face Detection in Wide Dynamic
  Range
WDR FACE: The First Database for Studying Face Detection in Wide Dynamic Range
Ziyi Liu
Jie Yang
Mengchen Lin
K. Lai
Svetlana Yanushkevich
O. Yadid-Pecht
CVBM
12
0
0
11 Jan 2021
Machine Learning Systems in the IoT: Trustworthiness Trade-offs for Edge
  Intelligence
Machine Learning Systems in the IoT: Trustworthiness Trade-offs for Edge Intelligence
Wiebke Toussaint
Aaron Yi Ding
17
11
0
01 Dec 2020
The Case for Retraining of ML Models for IoT Device Identification at
  the Edge
The Case for Retraining of ML Models for IoT Device Identification at the Edge
Roman Kolcun
Diana Andreea Popescu
Vadim Safronov
Poonam Yadav
A. Mandalari
Yiming Xie
Richard Mortier
Hamed Haddadi
14
22
0
17 Nov 2020
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
110
466
0
17 Oct 2020
Leveraging Automated Mixed-Low-Precision Quantization for tiny edge
  microcontrollers
Leveraging Automated Mixed-Low-Precision Quantization for tiny edge microcontrollers
Manuele Rusci
Marco Fariselli
Alessandro Capotondi
Luca Benini
MQ
16
17
0
12 Aug 2020
Hardware Acceleration of Sparse and Irregular Tensor Computations of ML
  Models: A Survey and Insights
Hardware Acceleration of Sparse and Irregular Tensor Computations of ML Models: A Survey and Insights
Shail Dave
Riyadh Baghdadi
Tony Nowatzki
Sasikanth Avancha
Aviral Shrivastava
Baoxin Li
56
81
0
02 Jul 2020
Robustifying the Deployment of tinyML Models for Autonomous
  mini-vehicles
Robustifying the Deployment of tinyML Models for Autonomous mini-vehicles
Miguel de Prado
Manuele Rusci
Romain Donze
Alessandro Capotondi
Serge Monnerat
Luca Benini and
Nuria Pazos
22
39
0
01 Jul 2020
Towards large-scale, automated, accurate detection of CCTV camera
  objects using computer vision. Applications and implications for privacy,
  safety, and cybersecurity. (Preprint)
Towards large-scale, automated, accurate detection of CCTV camera objects using computer vision. Applications and implications for privacy, safety, and cybersecurity. (Preprint)
Hannu Turtiainen
Andrei Costin
Tuomo Lahtinen
Lauri Sintonen
Timo Hämäläinen
14
6
0
06 Jun 2020
Machine Learning Systems for Intelligent Services in the IoT: A Survey
Wiebke Toussaint
Aaron Yi Ding
LRM
22
0
0
29 May 2020
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
73
302
0
20 Sep 2019
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