ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2106.07597
  4. Cited By
MLPerf Tiny Benchmark

MLPerf Tiny Benchmark

14 June 2021
Colby R. Banbury
Vijay Janapa Reddi
P. Torelli
J. Holleman
Nat Jeffries
C. Király
Pietro Montino
David Kanter
S. Ahmed
Danilo Pau
Urmish Thakker
Antonio Torrini
Pete Warden
Jay Cordaro
G. D. Guglielmo
Javier Mauricio Duarte
Stephen Gibellini
Videet Parekh
Honson Tran
Nhan Tran
Niu Wenxu
Xu Xuesong
    VLM
ArXivPDFHTML

Papers citing "MLPerf Tiny Benchmark"

23 / 23 papers shown
Title
Fast Data Aware Neural Architecture Search via Supernet Accelerated Evaluation
Fast Data Aware Neural Architecture Search via Supernet Accelerated Evaluation
Emil Njor
Colby R. Banbury
Xenofon Fafoutis
72
0
0
18 Feb 2025
MLPerf Power: Benchmarking the Energy Efficiency of Machine Learning Systems from Microwatts to Megawatts for Sustainable AI
MLPerf Power: Benchmarking the Energy Efficiency of Machine Learning Systems from Microwatts to Megawatts for Sustainable AI
Arya Tschand
Arun Tejusve Raghunath Rajan
S. Idgunji
Anirban Ghosh
J. Holleman
...
Rowan Taubitz
Sean Zhan
Scott Wasson
David Kanter
Vijay Janapa Reddi
62
3
0
15 Oct 2024
Differentiable Weightless Neural Networks
Differentiable Weightless Neural Networks
Alan T. L. Bacellar
Zachary Susskind
Mauricio Breternitz Jr.
E. John
L. John
P. Lima
F. M. G. França
30
3
0
14 Oct 2024
xTern: Energy-Efficient Ternary Neural Network Inference on RISC-V-Based
  Edge Systems
xTern: Energy-Efficient Ternary Neural Network Inference on RISC-V-Based Edge Systems
Georg Rutishauser
Joan Mihali
Moritz Scherer
Luca Benini
32
1
0
29 May 2024
Precision-aware Latency and Energy Balancing on Multi-Accelerator
  Platforms for DNN Inference
Precision-aware Latency and Energy Balancing on Multi-Accelerator Platforms for DNN Inference
Matteo Risso
Alessio Burrello
G. M. Sarda
Luca Benini
Enrico Macii
M. Poncino
Marian Verhelst
Daniele Jahier Pagliari
28
4
0
08 Jun 2023
Combining Multi-Objective Bayesian Optimization with Reinforcement Learning for TinyML
Combining Multi-Objective Bayesian Optimization with Reinforcement Learning for TinyML
M. Deutel
G. Kontes
Christopher Mutschler
Jürgen Teich
52
0
0
23 May 2023
Improving Robustness Against Adversarial Attacks with Deeply Quantized
  Neural Networks
Improving Robustness Against Adversarial Attacks with Deeply Quantized Neural Networks
Ferheen Ayaz
Idris Zakariyya
José Cano
S. Keoh
Jeremy Singer
D. Pau
Mounia Kharbouche-Harrari
19
5
0
25 Apr 2023
End-to-end codesign of Hessian-aware quantized neural networks for FPGAs
  and ASICs
End-to-end codesign of Hessian-aware quantized neural networks for FPGAs and ASICs
Javier Campos
Zhen Dong
Javier Mauricio Duarte
A. Gholami
Michael W. Mahoney
Jovan Mitrevski
Nhan Tran
MQ
32
3
0
13 Apr 2023
Tailor: Altering Skip Connections for Resource-Efficient Inference
Tailor: Altering Skip Connections for Resource-Efficient Inference
Olivia Weng
Gabriel Marcano
Vladimir Loncar
Alireza Khodamoradi
Nojan Sheybani
Andres Meza
F. Koushanfar
K. Denolf
Javier Mauricio Duarte
Ryan Kastner
43
11
0
18 Jan 2023
XRBench: An Extended Reality (XR) Machine Learning Benchmark Suite for
  the Metaverse
XRBench: An Extended Reality (XR) Machine Learning Benchmark Suite for the Metaverse
Hyoukjun Kwon
Krishnakumar Nair
Jamin Seo
Jason Yik
D. Mohapatra
...
Ashish Sirasao
T. Krishna
Harshit Khaitan
Vikas Chandra
Vijay Janapa Reddi
40
33
0
16 Nov 2022
PhotoFourier: A Photonic Joint Transform Correlator-Based Neural Network
  Accelerator
PhotoFourier: A Photonic Joint Transform Correlator-Based Neural Network Accelerator
Shurui Li
Hangbo Yang
C. Wong
V. Sorger
Puneet Gupta
12
12
0
10 Nov 2022
Edge Impulse: An MLOps Platform for Tiny Machine Learning
Edge Impulse: An MLOps Platform for Tiny Machine Learning
Shawn Hymel
Colby R. Banbury
Daniel Situnayake
A. Elium
Carl Ward
...
Louis Moreau
Dmitry Maslov
A. Beavis
Jan Jongboom
Vijay Janapa Reddi
VLM
LRM
50
95
0
02 Nov 2022
Towards Global Neural Network Abstractions with Locally-Exact
  Reconstruction
Towards Global Neural Network Abstractions with Locally-Exact Reconstruction
Edoardo Manino
I. Bessa
Lucas C. Cordeiro
21
1
0
21 Oct 2022
Machine Learning for Microcontroller-Class Hardware: A Review
Machine Learning for Microcontroller-Class Hardware: A Review
Swapnil Sayan Saha
S. Sandha
Mani B. Srivastava
27
118
0
29 May 2022
Intelligence at the Extreme Edge: A Survey on Reformable TinyML
Intelligence at the Extreme Edge: A Survey on Reformable TinyML
Visal Rajapakse
Ishan Karunanayake
Nadeem Ahmed
SyDa
39
53
0
02 Apr 2022
Physics Community Needs, Tools, and Resources for Machine Learning
Physics Community Needs, Tools, and Resources for Machine Learning
Philip C. Harris
E. Katsavounidis
W. McCormack
D. Rankin
Yongbin Feng
...
De-huai Chen
Mark S. Neubauer
Javier Mauricio Duarte
G. Karagiorgi
Miaoyuan Liu
AI4CE
22
3
0
30 Mar 2022
UDC: Unified DNAS for Compressible TinyML Models
UDC: Unified DNAS for Compressible TinyML Models
Igor Fedorov
Ramon Matas
Hokchhay Tann
Chu Zhou
Matthew Mattina
P. Whatmough
AI4CE
21
13
0
15 Jan 2022
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
38
30
0
05 Jan 2022
Randomness In Neural Network Training: Characterizing The Impact of
  Tooling
Randomness In Neural Network Training: Characterizing The Impact of Tooling
Donglin Zhuang
Xingyao Zhang
Shuaiwen Leon Song
Sara Hooker
25
75
0
22 Jun 2021
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
119
466
0
17 Oct 2020
AIBench Scenario: Scenario-distilling AI Benchmarking
AIBench Scenario: Scenario-distilling AI Benchmarking
Wanling Gao
Fei Tang
Jianfeng Zhan
Xu Wen
Lei Wang
Zheng Cao
Chuanxin Lan
Chunjie Luo
Xiaoli Liu
Zihan Jiang
29
14
0
06 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
303
0
20 Sep 2019
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
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
20,572
0
17 Apr 2017
1