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Exploring the Carbon Footprint of Hugging Face's ML Models: A Repository
  Mining Study
v1v2v3 (latest)

Exploring the Carbon Footprint of Hugging Face's ML Models: A Repository Mining Study

18 May 2023
Joel Castaño
Silverio Martínez-Fernández
Xavier Franch
Justus Bogner
    CVBM
ArXiv (abs)PDFHTML

Papers citing "Exploring the Carbon Footprint of Hugging Face's ML Models: A Repository Mining Study"

15 / 15 papers shown
Title
Uncovering Energy-Efficient Practices in Deep Learning Training:
  Preliminary Steps Towards Green AI
Uncovering Energy-Efficient Practices in Deep Learning Training: Preliminary Steps Towards Green AI
Tim Yarally
Luís Cruz
Daniel Feitosa
June Sallou
A. V. Deursen
45
27
0
24 Mar 2023
An Empirical Study of Pre-Trained Model Reuse in the Hugging Face Deep
  Learning Model Registry
An Empirical Study of Pre-Trained Model Reuse in the Hugging Face Deep Learning Model Registry
Wenxin Jiang
Nicholas Synovic
Matt Hyatt
Taylor R. Schorlemmer
R. Sethi
Yung-Hsiang Lu
George K. Thiruvathukal
James C. Davis
69
70
0
05 Mar 2023
Energy Efficiency of Training Neural Network Architectures: An Empirical
  Study
Energy Efficiency of Training Neural Network Architectures: An Empirical Study
Yi Xu
Silverio Martínez-Fernández
Matias Martinez
Xavier Franch
43
16
0
02 Feb 2023
A Systematic Review of Green AI
A Systematic Review of Green AI
Roberto Verdecchia
June Sallou
Luís Cruz
75
159
0
26 Jan 2023
Eco2AI: carbon emissions tracking of machine learning models as the
  first step towards sustainable AI
Eco2AI: carbon emissions tracking of machine learning models as the first step towards sustainable AI
S. Budennyy
V. Lazarev
N. Zakharenko
A. Korovin
Olga Plosskaya
...
Ivan Oseledets
I. Barsola
Ilya M. Egorov
A. Kosterina
L. Zhukov
75
104
0
31 Jul 2022
The Carbon Footprint of Machine Learning Training Will Plateau, Then
  Shrink
The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrink
David A. Patterson
Joseph E. Gonzalez
Urs Holzle
Quoc V. Le
Chen Liang
Lluís-Miquel Munguía
D. Rothchild
David R. So
Maud Texier
J. Dean
AI4CE
78
246
0
11 Apr 2022
Data-Centric Green AI: An Exploratory Empirical Study
Data-Centric Green AI: An Exploratory Empirical Study
Roberto Verdecchia
Luís Cruz
June Sallou
Michelle Lin
James Wickenden
Estelle Hotellier
64
45
0
06 Apr 2022
Which Design Decisions in AI-enabled Mobile Applications Contribute to
  Greener AI?
Which Design Decisions in AI-enabled Mobile Applications Contribute to Greener AI?
Roger Creus Castanyer
Silverio Martínez-Fernández
Xavier Franch
74
13
0
28 Sep 2021
Software Engineering for AI-Based Systems: A Survey
Software Engineering for AI-Based Systems: A Survey
Silverio Martínez-Fernández
Justus Bogner
Xavier Franch
Marc Oriol
Julien Siebert
Adam Trendowicz
Anna Maria Vollmer
Stefan Wagner
74
220
0
05 May 2021
Carbontracker: Tracking and Predicting the Carbon Footprint of Training
  Deep Learning Models
Carbontracker: Tracking and Predicting the Carbon Footprint of Training Deep Learning Models
Lasse F. Wolff Anthony
Benjamin Kanding
Raghavendra Selvan
HAI
59
313
0
06 Jul 2020
Quantifying the Carbon Emissions of Machine Learning
Quantifying the Carbon Emissions of Machine Learning
Alexandre Lacoste
A. Luccioni
Victor Schmidt
Thomas Dandres
97
707
0
21 Oct 2019
Green AI
Green AI
Roy Schwartz
Jesse Dodge
Noah A. Smith
Oren Etzioni
107
1,144
0
22 Jul 2019
Energy and Policy Considerations for Deep Learning in NLP
Energy and Policy Considerations for Deep Learning in NLP
Emma Strubell
Ananya Ganesh
Andrew McCallum
71
2,657
0
05 Jun 2019
Model Cards for Model Reporting
Model Cards for Model Reporting
Margaret Mitchell
Simone Wu
Andrew Zaldivar
Parker Barnes
Lucy Vasserman
Ben Hutchinson
Elena Spitzer
Inioluwa Deborah Raji
Timnit Gebru
127
1,895
0
05 Oct 2018
HyperPower: Power- and Memory-Constrained Hyper-Parameter Optimization
  for Neural Networks
HyperPower: Power- and Memory-Constrained Hyper-Parameter Optimization for Neural Networks
Dimitrios Stamoulis
E. Cai
Da-Cheng Juan
Diana Marculescu
63
72
0
06 Dec 2017
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