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Quantifying the Carbon Emissions of Machine Learning
v1v2 (latest)

Quantifying the Carbon Emissions of Machine Learning

21 October 2019
Alexandre Lacoste
A. Luccioni
Victor Schmidt
Thomas Dandres
ArXiv (abs)PDFHTML

Papers citing "Quantifying the Carbon Emissions of Machine Learning"

50 / 441 papers shown
Title
ML-EcoLyzer: Quantifying the Environmental Cost of Machine Learning Inference Across Frameworks and Hardware
ML-EcoLyzer: Quantifying the Environmental Cost of Machine Learning Inference Across Frameworks and Hardware
Jose Marie Antonio Minoza
Rex Gregor Laylo
Christian F Villarin
Sebastian C. Ibanez
60
0
0
10 Nov 2025
PlantTraitNet: An Uncertainty-Aware Multimodal Framework for Global-Scale Plant Trait Inference from Citizen Science Data
PlantTraitNet: An Uncertainty-Aware Multimodal Framework for Global-Scale Plant Trait Inference from Citizen Science Data
Ayushi Sharma
Johanna Trost
Daniel Lusk
Johannes Dollinger
Julian Schrader
...
Shyam S. Phartyal
Lisa-Maricia Schwarz
Anja Linstädter
Maria Conceição Caldeira
T. Kattenborn
60
0
0
10 Nov 2025
Quantifying the Climate Risk of Generative AI: Region-Aware Carbon Accounting with G-TRACE and the AI Sustainability Pyramid
Quantifying the Climate Risk of Generative AI: Region-Aware Carbon Accounting with G-TRACE and the AI Sustainability Pyramid
Zahida Kausar
Seemab Latif
Raja Khurrum Shahzad
Mehwish Fatima
48
0
0
06 Nov 2025
AI Progress Should Be Measured by Capability-Per-Resource, Not Scale Alone: A Framework for Gradient-Guided Resource Allocation in LLMs
AI Progress Should Be Measured by Capability-Per-Resource, Not Scale Alone: A Framework for Gradient-Guided Resource Allocation in LLMs
David McCoy
Yulun Wu
Zachary Butzin-Dozier
64
0
0
02 Nov 2025
Toward Carbon-Neutral Human AI: Rethinking Data, Computation, and Learning Paradigms for Sustainable Intelligence
Toward Carbon-Neutral Human AI: Rethinking Data, Computation, and Learning Paradigms for Sustainable Intelligence
KC Santosh
Rodrigue Rizk
Longwei Wang
84
0
0
27 Oct 2025
Compressing Quaternion Convolutional Neural Networks for Audio Classification
Compressing Quaternion Convolutional Neural Networks for Audio Classification
Arshdeep Singh
Vinayak Abrol
Mark D. Plumbley
92
0
0
24 Oct 2025
Enhancing Reasoning Skills in Small Persian Medical Language Models Can Outperform Large-Scale Data Training
Enhancing Reasoning Skills in Small Persian Medical Language Models Can Outperform Large-Scale Data Training
Mehrdad Ghassabi
Sadra Hakim
Hamidreza Baradaran Kashani
Pedram Rostami
ReLMLRM
284
0
0
22 Oct 2025
RAISE: A Unified Framework for Responsible AI Scoring and Evaluation
RAISE: A Unified Framework for Responsible AI Scoring and Evaluation
Loc Phuc Truong Nguyen
Hung Thanh Do
ELM
110
0
0
21 Oct 2025
Frugal Federated Learning for Violence Detection: A Comparison of LoRA-Tuned VLMs and Personalized CNNs
Frugal Federated Learning for Violence Detection: A Comparison of LoRA-Tuned VLMs and Personalized CNNs
Sébastien Thuau
Siba Haidar
Ayush Bajracharya
Rachid Chelouah
52
0
0
20 Oct 2025
Valid Survey Simulations with Limited Human Data: The Roles of Prompting, Fine-Tuning, and Rectification
Valid Survey Simulations with Limited Human Data: The Roles of Prompting, Fine-Tuning, and Rectification
Stefan Krsteski
Giuseppe Russo
Serina Chang
Robert West
Kristina Gligorić
SyDa
150
4
0
13 Oct 2025
Reconquering Bell sampling on qudits: stabilizer learning and testing, quantum pseudorandomness bounds, and more
Reconquering Bell sampling on qudits: stabilizer learning and testing, quantum pseudorandomness bounds, and more
J. Allcock
Joao F. Doriguello
Gábor Ivanyos
M. Santha
163
0
0
08 Oct 2025
HalluGuard: Evidence-Grounded Small Reasoning Models to Mitigate Hallucinations in Retrieval-Augmented Generation
HalluGuard: Evidence-Grounded Small Reasoning Models to Mitigate Hallucinations in Retrieval-Augmented Generation
Loris Bergeron
Ioana Buhnila
Jérôme François
Radu State
HILMLRM
96
0
0
01 Oct 2025
Alignment-Aware Decoding
Alignment-Aware Decoding
Frédéric Berdoz
Luca A. Lanzendörfer
René Caky
Roger Wattenhofer
92
0
0
30 Sep 2025
Adapting SAM with Dynamic Similarity Graphs for Few-Shot Parameter-Efficient Small Dense Object Detection: A Case Study of Chickpea Pods in Field Conditions
Adapting SAM with Dynamic Similarity Graphs for Few-Shot Parameter-Efficient Small Dense Object Detection: A Case Study of Chickpea Pods in Field Conditions
Xintong Jiang
Yixue Liu
Mohamed Debbagh
Yu Tian
Valerio Hoyos-Villegas
Viacheslav Adamchuk
Shangpeng Sun
92
0
0
30 Sep 2025
Towards Understanding Subliminal Learning: When and How Hidden Biases Transfer
Towards Understanding Subliminal Learning: When and How Hidden Biases Transfer
Simon Schrodi
Elias Kempf
Fazl Barez
Thomas Brox
FedML
92
0
0
28 Sep 2025
Choosing to Be Green: Advancing Green AI via Dynamic Model Selection
Choosing to Be Green: Advancing Green AI via Dynamic Model Selection
Emilio Cruciani
Roberto Verdecchia
68
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0
24 Sep 2025
[Re] Improving Interpretation Faithfulness for Vision Transformers
[Re] Improving Interpretation Faithfulness for Vision Transformers
Izabela Kurek
Wojciech Trejter
Stipe Frkovic
Andro Erdelez
80
0
0
18 Sep 2025
Green Recommender Systems: Understanding and Minimizing the Carbon Footprint of AI-Powered Personalization
Green Recommender Systems: Understanding and Minimizing the Carbon Footprint of AI-Powered PersonalizationACM Transactions on Recommender Systems (TORS), 2025
Lukas Wegmeth
Tobias Vente
Alan Said
Joeran Beel
112
0
0
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Benchmarking Energy Efficiency of Large Language Models Using vLLM
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K. Pronk
Q. Zhao
52
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0
10 Sep 2025
On the Reproducibility of "FairCLIP: Harnessing Fairness in Vision-Language Learning''
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Hua Chang Bakker
Stan Fris
Angela Madelon Bernardy
Stan Deutekom
VLM
91
0
0
08 Sep 2025
WATCHED: A Web AI Agent Tool for Combating Hate Speech by Expanding Data
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Paloma Piot
Diego Sánchez
Javier Parapar
100
0
0
01 Sep 2025
Learning with springs and sticks
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Luis Mantilla Calderón
Alán Aspuru-Guzik
88
0
0
26 Aug 2025
Performance is not All You Need: Sustainability Considerations for Algorithms
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Xiang Li
Chong Zhang
Hongpeng Wang
Shreyank N. Gowda
Y. Li
Xiaobo Jin
104
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0
24 Aug 2025
MetaFed: Advancing Privacy, Performance, and Sustainability in Federated Metaverse Systems
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Muhammet Anil Yagiz
Zeynep Sude Cengiz
Polat Goktas
116
0
0
24 Aug 2025
SLM-Bench: A Comprehensive Benchmark of Small Language Models on Environmental Impacts--Extended Version
SLM-Bench: A Comprehensive Benchmark of Small Language Models on Environmental Impacts--Extended Version
Nghiem Thanh Pham
Tung Kieu
Duc-Manh Nguyen
Son Ha Xuan
Nghia Duong-Trung
Danh Le-Phuoc
105
1
0
21 Aug 2025
Comparing energy consumption and accuracy in text classification inference
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Johannes Zschache
Tilman Hartwig
104
1
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19 Aug 2025
Energy Consumption in Parallel Neural Network Training
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Philipp Huber
David Li
Juan Pedro Gutiérrez Hermosillo Muriedas
Deifilia Kieckhefen
Markus Gotz
Achim Streit
Charlotte Debus
68
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0
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Embedding Is (Almost) All You Need: Retrieval-Augmented Inference for Generalizable Genomic Prediction Tasks
Embedding Is (Almost) All You Need: Retrieval-Augmented Inference for Generalizable Genomic Prediction Tasks
Nirjhor Datta
Swakkhar Shatabda
M. Sohel Rahman
32
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0
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Instruction-Grounded Visual Projectors for Continual Learning of Generative Vision-Language Models
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Hyundong Jin
Hyung Jin Chang
Eunwoo Kim
VLM
85
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0
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The Carbon Cost of Conversation, Sustainability in the Age of Language Models
The Carbon Cost of Conversation, Sustainability in the Age of Language Models
Sayed Mahbub Hasan Amiri
Prasun Goswami
Md. Mainul Islam
Mohammad Shakhawat Hossen
Sayed Majhab Hasan Amiri
Naznin Akter
SILMSyDa
211
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Knowledge Grafting: A Mechanism for Optimizing AI Model Deployment in Resource-Constrained Environments
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Osama Almurshed
Ashish Kaushal
Asmail Muftah
Nitin Auluck
Omer Rana
164
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White-Basilisk: A Hybrid Model for Code Vulnerability Detection
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Alexander Shevtsov
Ioannis Arapakis
Sotiris Ioannidis
191
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AIMeter: Measuring, Analyzing, and Visualizing Energy and Carbon Footprint of AI Workloads
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Hanlong Liao
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128
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Watermarking Autoregressive Image Generation
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One Period to Rule Them All: Identifying Critical Learning Periods in Deep Networks
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Breaking the ICE: Exploring promises and challenges of benchmarks for Inference Carbon & Energy estimation for LLMsInternational Workshop on Green and Sustainable Software (GSS), 2025
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Priyavanshi Pathania
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Pruning Everything, Everywhere, All at Once
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Structuring Radiology Reports: Challenging LLMs with Lightweight Models
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Tim Lueth
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Climate-Eval: A Comprehensive Benchmark for NLP Tasks Related to Climate Change
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Climate Implications of Diffusion-based Generative Visual AI Systems and their Mass Adoption
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Revealing Language Model Trajectories via Kullback-Leibler Divergence
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Leveraging Online Data to Enhance Medical Knowledge in a Small Persian Language Model
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Pedram Rostami
Hamidreza Baradaran Kashani
Amirhossein Poursina
Zahra Kazemi
Milad Tavakoli
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Neural Conditional Transport Maps
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Leonardo Chiani
Emanuele Borgonovo
Massimo Tavoni
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RAVEN: Query-Guided Representation Alignment for Question Answering over Audio, Video, Embedded Sensors, and Natural Language
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Guidelines for the Quality Assessment of Energy-Aware NAS Benchmarks
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GemMaroc: Unlocking Darija Proficiency in LLMs with Minimal Data
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Net-Zero: A Comparative Study on Neural Network Design for Climate-Economic PDEs Under Uncertainty
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