The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrink

11 April 2022

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Papers citing "The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrink"

36 / 136 papers shown

A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and ValidationArtificial Intelligence Review (AIR), 2023

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353

149

19 May 2023

Exploring the Carbon Footprint of Hugging Face's ML Models: A Repository Mining StudyInternational Symposium on Empirical Software Engineering and Measurement (ESEM), 2023

Justus Bogner

223

18 May 2023

Connecting the Dots in Trustworthy Artificial Intelligence: From AI Principles, Ethics, and Key Requirements to Responsible AI Systems and RegulationInformation Fusion (Inf. Fusion), 2023

Natalia Díaz Rodríguez

Javier Del Ser

Mark Coeckelbergh

Marcos López de Prado

E. Herrera-Viedma

Francisco Herrera

XAI

354

469

02 May 2023

Clover: Toward Sustainable AI with Carbon-Aware Machine Learning Inference ServiceInternational Conference for High Performance Computing, Networking, Storage and Analysis (SC), 2023

Baolin Li

S. Samsi

V. Gadepally

Devesh Tiwari

279

19 Apr 2023

ChatGPT Needs SPADE (Sustainability, PrivAcy, Digital divide, and Ethics) Evaluation: A ReviewCognitive Computation (Cogn. Comput.), 2023

402

134

13 Apr 2023

Towards Energy Consumption and Carbon Footprint Testing for AI-driven IoT Services

156

13 Apr 2023

Making AI Less "Thirsty": Uncovering and Addressing the Secret Water Footprint of AI ModelsCommunications of the ACM (CACM), 2023

Pengfei Li

Jianyi Yang

M. A. Islam

Shaolei Ren

764

151

06 Apr 2023

TPU v4: An Optically Reconfigurable Supercomputer for Machine Learning with Hardware Support for EmbeddingsInternational Symposium on Computer Architecture (ISCA), 2023

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524

542

04 Apr 2023

Green Federated Learning

293

26 Mar 2023

Large AI Models in Health Informatics: Applications, Challenges, and the FutureIEEE journal of biomedical and health informatics (IEEE JBHI), 2023

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Wu Yuan

284

185

21 Mar 2023

The Carbon Emissions of Writing and Illustrating Are Lower for AI than for HumansScientific Reports (Sci Rep), 2023

206

08 Mar 2023

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

A. Luccioni

Alex Hernandez-Garcia

238

16 Feb 2023

The Framework Tax: Disparities Between Inference Efficiency in NLP Research and DeploymentConference on Empirical Methods in Natural Language Processing (EMNLP), 2023

322

13 Feb 2023

Can Persistent Homology provide an efficient alternative for Evaluation of Knowledge Graph Completion Methods?The Web Conference (WWW), 2023

253

30 Jan 2023

A Green(er) World for A.IIEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum (IPDPS), 2022

Michael Jones

145

27 Jan 2023

A Systematic Review of Green AI

Roberto Verdecchia

June Sallou

Luís Cruz

393

251

26 Jan 2023

Hopf Physical Reservoir Computer for Reconfigurable Sound RecognitionScientific Reports (Sci Rep), 2022

215

20 Dec 2022

RecD: Deduplication for End-to-End Deep Learning Recommendation Model Training InfrastructureConference on Machine Learning and Systems (MLSys), 2022

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420

09 Nov 2022

Estimating the Carbon Footprint of BLOOM, a 176B Parameter Language ModelJournal of machine learning research (JMLR), 2022

A. Luccioni

S. Viguier

Anne-Laure Ligozat

607

427

03 Nov 2022

Language Models Understand Us, PoorlyConference on Empirical Methods in Natural Language Processing (EMNLP), 2022

Jared Moore

LRM

169

19 Oct 2022

The Future of Consumer Edge-AI ComputingIEEE pervasive computing (PC), 2022

Stefanos Laskaridis

Stylianos I. Venieris

Alexandros Kouris

Rui Li

Nicholas D. Lane

410

19 Oct 2022

Compute-Efficient Deep Learning: Algorithmic Trends and OpportunitiesJournal of machine learning research (JMLR), 2022

Brian Bartoldson

B. Kailkhura

Davis W. Blalock

317

13 Oct 2022

Fast-FNet: Accelerating Transformer Encoder Models via Efficient Fourier LayersSignal, Image and Video Processing (SIVP), 2022

200

26 Sep 2022

Algorithmic decision making methods for fair credit scoringIEEE Access (IEEE Access), 2022

Darie Moldovan

FaML

187

16 Sep 2022

Learning sparse auto-encoders for green AI image codingIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022

148

09 Sep 2022

What Do NLP Researchers Believe? Results of the NLP Community MetasurveyAnnual Meeting of the Association for Computational Linguistics (ACL), 2022

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183

26 Aug 2022

POET: Training Neural Networks on Tiny Devices with Integrated Rematerialization and PagingInternational Conference on Machine Learning (ICML), 2022

249

15 Jul 2022

On the Principles of Parsimony and Self-Consistency for the Emergence of IntelligenceFrontiers of Information Technology & Electronic Engineering (FITEE), 2022

Yi Ma

Doris Y. Tsao

H. Shum

278

11 Jul 2022

Sustainable Computing -- Without the Hot AirACM SIGEnergy Energy Informatics Review (SEIR), 2022

221

30 Jun 2022

Measuring the Carbon Intensity of AI in Cloud InstancesConference on Fairness, Accountability and Transparency (FAccT), 2022

Jesse Dodge

Taylor Prewitt

Rémi Tachet des Combes

239

251

10 Jun 2022

Towards Climate Awareness in NLP ResearchConference on Empirical Methods in Natural Language Processing (EMNLP), 2022

Mathias Kraus

423

10 May 2022

Resource-efficient domain adaptive pre-training for medical images

Y. Mehmood

U. I. Bajwa

Xianfang Sun

202

28 Apr 2022

Towards Green Automated Machine Learning: Status Quo and Future DirectionsJournal of Artificial Intelligence Research (JAIR), 2021

Eyke Hüllermeier

418

10 Nov 2021

Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A SurveyACM Computing Surveys (CSUR), 2021

Bonan Min

Hayley L Ross

Elior Sulem

Amir Pouran Ben Veyseh

435

1,385

01 Nov 2021

Can Federated Learning Save The Planet?

458

104

13 Oct 2020

The Computational Limits of Deep Learning

318

646

10 Jul 2020