Counting Carbon: A Survey of Factors Influencing the Emissions of Machine Learning

16 February 2023

Alex Hernandez-Garcia

Papers citing "Counting Carbon: A Survey of Factors Influencing the Emissions of Machine Learning"

31 / 31 papers shown

Title
Climate And Resource Awareness is Imperative to Achieving Sustainable AI (and Preventing a Global AI Arms Race) Pedram Bakhtiarifard Pınar Tözün Christian Igel Raghavendra Selvan 37 0 0 27 Feb 2025
Local Differences, Global Lessons: Insights from Organisation Policies for International Legislation Lucie-Aimée Kaffee Pepa Atanasova Anna Rogers 39 0 0 19 Feb 2025
Towards Sustainable NLP: Insights from Benchmarking Inference Energy in Large Language Models S. Poddar Paramita Koley Janardan Misra Niloy Ganguly Saptarshi Ghosh Saptarshi Ghosh 54 0 0 08 Feb 2025
Life-Cycle Emissions of AI Hardware: A Cradle-To-Grave Approach and Generational Trends Ian Schneider Hui Xu Stephan Benecke David Patterson Keguo Huang Parthasarathy Ranganathan Cooper Elsworth 58 2 0 01 Feb 2025
Towards Sustainable Large Language Model Serving Sophia Nguyen Beihao Zhou Yi Ding Sihang Liu 84 7 0 31 Dec 2024
SeagrassFinder: Deep Learning for Eelgrass Detection and Coverage Estimation in the Wild Jannik Elsäßer Laura Weihl Veronika Cheplygina Lisbeth Tangaa Nielsen 64 0 0 20 Dec 2024
Social Science Is Necessary for Operationalizing Socially Responsible Foundation Models Adam Davies Elisa Nguyen Michael Simeone Erik Johnston Martin Gubri 76 0 0 20 Dec 2024
Hardware Scaling Trends and Diminishing Returns in Large-Scale Distributed Training Jared Fernandez Luca Wehrstedt Leonid Shamis Mostafa Elhoushi Kalyan Saladi Yonatan Bisk Emma Strubell Jacob Kahn 89 3 0 20 Nov 2024
ALLaM: Large Language Models for Arabic and English M Saiful Bari Yazeed Alnumay Norah A. Alzahrani Nouf M. Alotaibi H. A. Alyahya ... Jeril Kuriakose Abdalghani Abujabal Nora Al-Twairesh Areeb Alowisheq Haidar Khan 28 11 0 22 Jul 2024
Finding Lottery Tickets in Vision Models via Data-driven Spectral Foresight Pruning Leonardo Iurada Marco Ciccone Tatiana Tommasi 21 3 0 03 Jun 2024
Position: An Inner Interpretability Framework for AI Inspired by Lessons from Cognitive Neuroscience Martina G. Vilas Federico Adolfi David Poeppel Gemma Roig 33 5 0 03 Jun 2024
Towards Trustworthy AI: A Review of Ethical and Robust Large Language Models Meftahul Ferdaus Mahdi Abdelguerfi Elias Ioup Kendall N. Niles Ken Pathak Steve Sloan 32 10 0 01 Jun 2024
Leakage-Resilient and Carbon-Neutral Aggregation Featuring the Federated AI-enabled Critical Infrastructure Zehang Deng Ruoxi Sun Minhui Xue Sheng Wen S. Çamtepe Surya Nepal Yang Xiang 35 1 0 24 May 2024
Green AI: Exploring Carbon Footprints, Mitigation Strategies, and Trade Offs in Large Language Model Training Vivian Liu Yiqiao Yin 27 11 0 01 Apr 2024
Towards Sustainable SecureML: Quantifying Carbon Footprint of Adversarial Machine Learning Syed Mhamudul Hasan Abdur R. Shahid Ahmed Imteaj AAML 16 4 0 27 Mar 2024
Multimodal Learned Sparse Retrieval with Probabilistic Expansion Control Thong Nguyen Mariya Hendriksen Andrew Yates Maarten de Rijke 34 6 0 27 Feb 2024
Training Green AI Models Using Elite Samples Mohammed Alswaitti Roberto Verdecchia Grégoire Danoy Pascal Bouvry Johnatan E. Pecero 21 2 0 19 Feb 2024
Towards Equitable Agile Research and Development of AI and Robotics Andrew Hundt Julia Schuller Severin Kacianka 17 0 0 13 Feb 2024
Can I trust my fake data -- A comprehensive quality assessment framework for synthetic tabular data in healthcare V. Vallevik Aleksandar Babic S. Marshall Severin Elvatun Helga Brogger S. Alagaratnam B. Edwin Narasimha Raghavan Anne Kjersti Befring J. F. Nygård 31 19 0 24 Jan 2024
Toward Responsible AI Use: Considerations for Sustainability Impact Assessment Eva Thelisson Grzegorz Mika Quentin Schneiter Kirtan Padh Himanshu Verma 9 0 0 19 Dec 2023
Power Hungry Processing: Watts Driving the Cost of AI Deployment? Sasha Luccioni Yacine Jernite Emma Strubell 27 156 0 28 Nov 2023
Efficiency is Not Enough: A Critical Perspective of Environmentally Sustainable AI Dustin Wright Christian Igel Gabrielle Samuel Raghavendra Selvan 18 12 0 05 Sep 2023
The Ethics of AI Value Chains Blair Attard-Frost D. Widder 14 1 0 31 Jul 2023
Ecosystem Graphs: The Social Footprint of Foundation Models Rishi Bommasani Dilara Soylu Thomas I. Liao Kathleen A. Creel Percy Liang MLAU 14 21 0 28 Mar 2023
A Systematic Review of Green AI Roberto Verdecchia June Sallou Luís Cruz 14 145 0 26 Jan 2023
Multitask Prompted Training Enables Zero-Shot Task Generalization Victor Sanh Albert Webson Colin Raffel Stephen H. Bach Lintang Sutawika ... T. Bers Stella Biderman Leo Gao Thomas Wolf Alexander M. Rush LRM 203 1,651 0 15 Oct 2021
The Low-Resource Double Bind: An Empirical Study of Pruning for Low-Resource Machine Translation Orevaoghene Ahia Julia Kreutzer Sara Hooker 105 50 0 06 Oct 2021
Curb Your Carbon Emissions: Benchmarking Carbon Emissions in Machine Translation Mirza Yusuf Praatibh Surana Gauri Gupta Krithika Ramesh 9 8 0 26 Sep 2021
Towards Quantifying the Carbon Emissions of Differentially Private Machine Learning Rakshit Naidu Harshita Diddee Ajinkya Mulay Aleti Vardhan Krithika Ramesh Ahmed S. Zamzam 23 13 0 14 Jul 2021
Carbon Emissions and Large Neural Network Training David A. Patterson Joseph E. Gonzalez Quoc V. Le Chen Liang Lluís-Miquel Munguía D. Rothchild David R. So Maud Texier J. Dean AI4CE 239 626 0 21 Apr 2021
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 264 5,290 0 05 Nov 2016