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2002.05651
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Towards the Systematic Reporting of the Energy and Carbon Footprints of Machine Learning
31 January 2020
Peter Henderson
Jie Hu
Joshua Romoff
Emma Brunskill
Dan Jurafsky
Joelle Pineau
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Papers citing
"Towards the Systematic Reporting of the Energy and Carbon Footprints of Machine Learning"
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Title
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Unveiling Biases while Embracing Sustainability: Assessing the Dual Challenges of Automatic Speech Recognition Systems
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Towards Sustainable NLP: Insights from Benchmarking Inference Energy in Large Language Models
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Paramita Koley
Janardan Misra
Niloy Ganguly
Saptarshi Ghosh
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08 Feb 2025
Think Smarter not Harder: Adaptive Reasoning with Inference Aware Optimization
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Di Jin
Karthik Abinav Sankararaman
Yun He
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29 Jan 2025
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
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J. Holleman
...
Rowan Taubitz
Sean Zhan
Scott Wasson
David Kanter
Vijay Janapa Reddi
62
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15 Oct 2024
Energy Consumption Trends in Sound Event Detection Systems
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Romain Serizel
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Towards Green AI: Current status and future research
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Lutz Stobbe
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Jan Druschke
47
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01 May 2024
Design of an Open-Source Architecture for Neural Machine Translation
Séamus Lankford
Haithem Afli
Andy Way
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06 Mar 2024
Green AI: A Preliminary Empirical Study on Energy Consumption in DL Models Across Different Runtime Infrastructures
Negar Alizadeh
Fernando Castor
46
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LLMCarbon: Modeling the end-to-end Carbon Footprint of Large Language Models
Ahmad Faiz
S. Kaneda
Ruhan Wang
Rita Osi
Parteek Sharma
Fan Chen
Lei Jiang
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25 Sep 2023
Efficient Reinforcement Learning for Jumping Monopods
Riccardo Bussola
Michele Focchi
Andrea Del Prete
Daniele Fontanelli
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39
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13 Sep 2023
Efficiency is Not Enough: A Critical Perspective of Environmentally Sustainable AI
Dustin Wright
Christian Igel
Gabrielle Samuel
Raghavendra Selvan
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A benchmark for computational analysis of animal behavior, using animal-borne tags
Benjamin Hoffman
M. Cusimano
V. Baglione
D. Canestrari
D. Chevallier
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O. Vainio
A. Vehkaoja
Ken Yoda
Katie Zacarian
A. Friedlaender
25
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18 May 2023
Energy Efficiency Considerations for Popular AI Benchmarks
Raphael Fischer
Matthias Jakobs
K. Morik
16
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17 Apr 2023
Energy-Efficient GPU Clusters Scheduling for Deep Learning
Diandian Gu
Xintong Xie
Gang Huang
Xin Jin
Xuanzhe Liu
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13 Apr 2023
Making AI Less "Thirsty": Uncovering and Addressing the Secret Water Footprint of AI Models
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Jianyi Yang
M. A. Islam
Shaolei Ren
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Accuracy is not the only Metric that matters: Estimating the Energy Consumption of Deep Learning Models
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Bertrand Charpentier
Stephan Günnemann
21
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Greener yet Powerful: Taming Large Code Generation Models with Quantization
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Sujan Kumar Gonugondla
W. Ahmad
Shiqi Wang
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Ben Athiwaratkun
Mingyue Shang
M. K. Ramanathan
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28
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Counting Carbon: A Survey of Factors Influencing the Emissions of Machine Learning
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31
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Renormalization in the neural network-quantum field theory correspondence
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37
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Subgroup Robustness Grows On Trees: An Empirical Baseline Investigation
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8
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Real-time Speech Interruption Analysis: From Cloud to Client Deployment
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J. Gupchup
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31
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Data-Efficient Strategies for Expanding Hate Speech Detection into Under-Resourced Languages
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Debora Nozza
Federico Bianchi
Dirk Hovy
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Comparing the carbon costs and benefits of low-resource solar nowcasting
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Maria Perez-Ortiz
J. Bieker
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Fast-FNet: Accelerating Transformer Encoder Models via Efficient Fourier Layers
Nurullah Sevim
Ege Ozan Özyedek
Furkan Şahinuç
Aykut Koç
35
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Scheduling Algorithms for Federated Learning with Minimal Energy Consumption
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26
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Efficient Methods for Natural Language Processing: A Survey
Marcos Vinícius Treviso
Ji-Ung Lee
Tianchu Ji
Betty van Aken
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Roy Schwartz
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109
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N. Zakharenko
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Ivan V. Oseledets
I. Barsola
Ilya M. Egorov
A. Kosterina
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31
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Benchmarking Transformers-based models on French Spoken Language Understanding tasks
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Sahar Ghannay
Christophe Servan
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30
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19 Jul 2022
Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal Dataset
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Lucia Zheng
Neel Guha
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131
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Towards Climate Awareness in NLP Research
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Impact of Tokenization on Language Models: An Analysis for Turkish
Cagri Toraman
E. Yilmaz
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Oguzhan Ozcelik
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74
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Does Simultaneous Speech Translation need Simultaneous Models?
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Marco Gaido
Matteo Negri
Marco Turchi
41
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Carbon Footprint of Selecting and Training Deep Learning Models for Medical Image Analysis
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N. Bhagwat
Lasse F. Wolff Anthony
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36
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A photonic chip-based machine learning approach for the prediction of molecular properties
Hui Zhang
Jonathan Wei Zhong Lau
Lingxiao Wan
Liang Shi
H. Cai
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Guo-qiang Lo
Chee-Kong Lee
L. Kwek
A. Liu
35
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An Empirical Analysis of AI Contributions to Sustainable Cities (SDG11)
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Auriol Degbelo
14
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The Ecological Footprint of Neural Machine Translation Systems
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32
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Computational bioacoustics with deep learning: a review and roadmap
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Many Heads but One Brain: Fusion Brain -- a Competition and a Single Multimodal Multitask Architecture
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33
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Unraveling the Hidden Environmental Impacts of AI Solutions for Environment
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J. Lefèvre
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24
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Compute and Energy Consumption Trends in Deep Learning Inference
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DocFormer: End-to-End Transformer for Document Understanding
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Bhavan A. Jasani
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How Robust are Model Rankings: A Leaderboard Customization Approach for Equitable Evaluation
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The Care Label Concept: A Certification Suite for Trustworthy and Resource-Aware Machine Learning
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EnergyVis: Interactively Tracking and Exploring Energy Consumption for ML Models
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