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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
Training Machine Learning models at the Edge: A Survey
Training Machine Learning models at the Edge: A Survey
Aymen Rayane Khouas
Mohamed Reda Bouadjenek
Hakim Hacid
Sunil Aryal
427
25
0
05 Mar 2024
adaptMLLM: Fine-Tuning Multilingual Language Models on Low-Resource
  Languages with Integrated LLM Playgrounds
adaptMLLM: Fine-Tuning Multilingual Language Models on Low-Resource Languages with Integrated LLM Playgrounds
Séamus Lankford
Haithem Afli
Andy Way
211
37
0
04 Mar 2024
Transformers for Low-Resource Languages:Is Féidir Linn!
Transformers for Low-Resource Languages:Is Féidir Linn!
Séamus Lankford
H. Alfi
Tamás Sarlós
276
25
0
04 Mar 2024
adaptNMT: an open-source, language-agnostic development environment for
  Neural Machine Translation
adaptNMT: an open-source, language-agnostic development environment for Neural Machine Translation
Séamus Lankford
Haithem Afli
Andy Way
250
4
0
04 Mar 2024
Human Evaluation of English--Irish Transformer-Based NMT
Human Evaluation of English--Irish Transformer-Based NMT
Séamus Lankford
Haithem Afli
Andy Way
238
14
0
04 Mar 2024
ColBERT-XM: A Modular Multi-Vector Representation Model for Zero-Shot
  Multilingual Information Retrieval
ColBERT-XM: A Modular Multi-Vector Representation Model for Zero-Shot Multilingual Information Retrieval
Antoine Louis
V. Saxena
Gijs van Dijck
Gerasimos Spanakis
178
11
0
23 Feb 2024
Watermarking Makes Language Models Radioactive
Watermarking Makes Language Models Radioactive
Tom Sander
Pierre Fernandez
Alain Durmus
Matthijs Douze
Teddy Furon
WaLM
184
37
0
22 Feb 2024
On Leveraging Encoder-only Pre-trained Language Models for Effective
  Keyphrase Generation
On Leveraging Encoder-only Pre-trained Language Models for Effective Keyphrase Generation
Di Wu
Wasi Uddin Ahmad
Kai-Wei Chang
252
6
0
21 Feb 2024
Green AI: A Preliminary Empirical Study on Energy Consumption in DL
  Models Across Different Runtime Infrastructures
Green AI: A Preliminary Empirical Study on Energy Consumption in DL Models Across Different Runtime Infrastructures
Negar Alizadeh
Fernando Castor
280
25
0
21 Feb 2024
On Sensitivity of Learning with Limited Labelled Data to the Effects of
  Randomness: Impact of Interactions and Systematic Choices
On Sensitivity of Learning with Limited Labelled Data to the Effects of Randomness: Impact of Interactions and Systematic Choices
Branislav Pecher
Ivan Srba
Maria Bielikova
258
5
0
20 Feb 2024
Comparing Specialised Small and General Large Language Models on Text Classification: 100 Labelled Samples to Achieve Break-Even Performance
Comparing Specialised Small and General Large Language Models on Text Classification: 100 Labelled Samples to Achieve Break-Even Performance
Branislav Pecher
Ivan Srba
Maria Bielikova
ALM
336
15
0
20 Feb 2024
Self-Augmented In-Context Learning for Unsupervised Word Translation
Self-Augmented In-Context Learning for Unsupervised Word Translation
Yaoyiran Li
Anna Korhonen
Ivan Vulić
251
7
0
15 Feb 2024
Jack of All Trades, Master of Some, a Multi-Purpose Transformer Agent
Jack of All Trades, Master of Some, a Multi-Purpose Transformer Agent
Quentin Gallouedec
E. Beeching
Clément Romac
Emmanuel Dellandrea
251
16
0
15 Feb 2024
EcoVal: An Efficient Data Valuation Framework for Machine Learning
EcoVal: An Efficient Data Valuation Framework for Machine Learning
Ayush K Tarun
Vikram S Chundawat
Murari Mandal
Hong Ming Tan
Bowei Chen
Mohan Kankanhalli
TDI
361
2
0
14 Feb 2024
Towards Equitable Agile Research and Development of AI and Robotics
Towards Equitable Agile Research and Development of AI and Robotics
Rumaisa Azeem
Julia Schuller
Severin Kacianka
149
2
0
13 Feb 2024
Strong convexity-guided hyper-parameter optimization for flatter losses
Strong convexity-guided hyper-parameter optimization for flatter losses
Rahul Yedida
Snehanshu Saha
306
0
0
07 Feb 2024
Leak, Cheat, Repeat: Data Contamination and Evaluation Malpractices in
  Closed-Source LLMs
Leak, Cheat, Repeat: Data Contamination and Evaluation Malpractices in Closed-Source LLMsConference of the European Chapter of the Association for Computational Linguistics (EACL), 2024
Simone Balloccu
Patrícia Schmidtová
Mateusz Lango
Ondrej Dusek
SILMELMPILM
452
259
0
06 Feb 2024
Automatic Combination of Sample Selection Strategies for Few-Shot
  Learning
Automatic Combination of Sample Selection Strategies for Few-Shot Learning
Branislav Pecher
Ivan Srba
Maria Bielikova
Joaquin Vanschoren
243
3
0
05 Feb 2024
MobilityDL: A Review of Deep Learning From Trajectory Data
MobilityDL: A Review of Deep Learning From Trajectory Data
Anita Graser
Anahid N. Jalali
Jasmin Lampert
Axel Weissenfeld
Krzysztof Janowicz
210
20
0
01 Feb 2024
Non-Exchangeable Conformal Language Generation with Nearest Neighbors
Non-Exchangeable Conformal Language Generation with Nearest Neighbors
Dennis Ulmer
Chrysoula Zerva
André F. T. Martins
377
16
0
01 Feb 2024
TeenyTinyLlama: open-source tiny language models trained in Brazilian
  Portuguese
TeenyTinyLlama: open-source tiny language models trained in Brazilian Portuguese
N. Corrêa
Sophia Falk
Shiza Fatimah
Aniket Sen
N. D. Oliveira
271
22
0
30 Jan 2024
Can I trust my fake data -- A comprehensive quality assessment framework
  for synthetic tabular data in healthcare
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
198
46
0
24 Jan 2024
Deep Learning Model Reuse in the HuggingFace Community: Challenges,
  Benefit and Trends
Deep Learning Model Reuse in the HuggingFace Community: Challenges, Benefit and TrendsIEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER), 2024
Mina Taraghi
Gianolli Dorcelus
A. Foundjem
Florian Tambon
Foutse Khomh
192
24
0
24 Jan 2024
Enhancing In-context Learning via Linear Probe Calibration
Enhancing In-context Learning via Linear Probe CalibrationInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Momin Abbas
Yi Zhou
Parikshit Ram
Nathalie Baracaldo
Horst Samulowitz
Theodoros Salonidis
Tianyi Chen
242
18
0
22 Jan 2024
Cloud-based XAI Services for Assessing Open Repository Models Under
  Adversarial Attacks
Cloud-based XAI Services for Assessing Open Repository Models Under Adversarial Attacks
Zerui Wang
Yan Liu
AAML
266
7
0
22 Jan 2024
B-Cos Aligned Transformers Learn Human-Interpretable Features
B-Cos Aligned Transformers Learn Human-Interpretable FeaturesInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024
Manuel Tran
Amal Lahiani
Yashin Dicente Cid
Melanie Boxberg
Peter Lienemann
C. Matek
S. J. Wagner
Fabian J. Theis
Eldad Klaiman
Tingying Peng
MedImViT
208
5
0
16 Jan 2024
Effects of diversity incentives on sample diversity and downstream model
  performance in LLM-based text augmentation
Effects of diversity incentives on sample diversity and downstream model performance in LLM-based text augmentationAnnual Meeting of the Association for Computational Linguistics (ACL), 2024
Ján Cegin
Branislav Pecher
Jakub Simko
Ivan Srba
Maria Bielikova
Peter Brusilovsky
249
19
0
12 Jan 2024
MetaHate: A Dataset for Unifying Efforts on Hate Speech Detection
MetaHate: A Dataset for Unifying Efforts on Hate Speech DetectionInternational Conference on Web and Social Media (ICWSM), 2024
Paloma Piot-Perez-Abadin
Patricia Martín-Rodilla
Javier Parapar
191
13
0
12 Jan 2024
The Power of Training: How Different Neural Network Setups Influence the
  Energy Demand
The Power of Training: How Different Neural Network Setups Influence the Energy DemandARCS (ARCS), 2024
Daniel Geissler
Bo Zhou
Mengxi Liu
Sungho Suh
P. Lukowicz
235
15
0
03 Jan 2024
DREAM: Debugging and Repairing AutoML Pipelines
DREAM: Debugging and Repairing AutoML PipelinesACM Transactions on Software Engineering and Methodology (TOSEM), 2023
Xiaoyu Zhang
Juan Zhai
Shiqing Ma
Chao Shen
303
4
0
31 Dec 2023
An effective and efficient green federated learning method for one-layer
  neural networks
An effective and efficient green federated learning method for one-layer neural networks
O. Fontenla-Romero
Berta Guijarro-Berdiñas
Elena Hernández-Pereira
Beatriz Pérez-Sánchez
FedML
159
0
0
22 Dec 2023
AutoXPCR: Automated Multi-Objective Model Selection for Time Series
  Forecasting
AutoXPCR: Automated Multi-Objective Model Selection for Time Series Forecasting
Raphael Fischer
Amal Saadallah
239
5
0
20 Dec 2023
A Synthesis of Green Architectural Tactics for ML-Enabled Systems
A Synthesis of Green Architectural Tactics for ML-Enabled Systems
Heli Järvenpää
Patricia Lago
Justus Bogner
Grace A. Lewis
H. Muccini
Ipek Ozkaya
174
34
0
15 Dec 2023
GreenFlow: A Computation Allocation Framework for Building
  Environmentally Sound Recommendation System
GreenFlow: A Computation Allocation Framework for Building Environmentally Sound Recommendation SystemInternational Joint Conference on Artificial Intelligence (IJCAI), 2023
Xingyu Lu
Zhining Liu
Yanchu Guan
Hongxuan Zhang
Chenyi Zhuang
Wenqi Ma
Yize Tan
Jinjie Gu
Guannan Zhang
98
6
0
15 Dec 2023
Power Hungry Processing: Watts Driving the Cost of AI Deployment?
Power Hungry Processing: Watts Driving the Cost of AI Deployment?Conference on Fairness, Accountability and Transparency (FAccT), 2023
Sasha Luccioni
Yacine Jernite
Emma Strubell
414
313
0
28 Nov 2023
Survey on AI Ethics: A Socio-technical Perspective
Survey on AI Ethics: A Socio-technical PerspectiveInternational Conference on Climate Informatics (ICCI), 2023
Dave Mbiazi
Meghana Bhange
Maryam Babaei
Ivaxi Sheth
Patrik Kenfack
Samira Ebrahimi Kahou
415
9
0
28 Nov 2023
Model Agnostic Explainable Selective Regression via Uncertainty
  Estimation
Model Agnostic Explainable Selective Regression via Uncertainty Estimation
Andrea Pugnana
Carlos Mougan
Dan Saattrup Nielsen
201
0
0
15 Nov 2023
OFA: A Framework of Initializing Unseen Subword Embeddings for Efficient
  Large-scale Multilingual Continued Pretraining
OFA: A Framework of Initializing Unseen Subword Embeddings for Efficient Large-scale Multilingual Continued Pretraining
Yihong Liu
Peiqin Lin
Mingyang Wang
Hinrich Schütze
233
36
0
15 Nov 2023
Conversations in Galician: a Large Language Model for an
  Underrepresented Language
Conversations in Galician: a Large Language Model for an Underrepresented Language
Eliseo Bao Souto
Anxo Perez
Javier Parapar
61
2
0
07 Nov 2023
An AI-Guided Data Centric Strategy to Detect and Mitigate Biases in
  Healthcare Datasets
An AI-Guided Data Centric Strategy to Detect and Mitigate Biases in Healthcare DatasetsmedRxiv (medRxiv), 2023
F. Gulamali
Ashwin S. Sawant
L. Liharska
C. R. Horowitz
L. Chan
...
E. Mensah
Alexander W. Charney
D. Reich
J. Hu
Girish N. Nadkarni
171
1
0
06 Nov 2023
An energy-based comparative analysis of common approaches to text
  classification in the Legal domain
An energy-based comparative analysis of common approaches to text classification in the Legal domain
S. Gultekin
Achille Globo
Andrea Zugarini
Marco Ernandes
Leonardo Rigutini
170
2
0
02 Nov 2023
Data Augmentation for Code Translation with Comparable Corpora and
  Multiple References
Data Augmentation for Code Translation with Comparable Corpora and Multiple ReferencesConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Yiqing Xie
Atharva Naik
Daniel Fried
Carolyn Rose
185
13
0
01 Nov 2023
Limited Data, Unlimited Potential: A Study on ViTs Augmented by Masked
  Autoencoders
Limited Data, Unlimited Potential: A Study on ViTs Augmented by Masked AutoencodersIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Srijan Das
Tanmay Jain
Dominick Reilly
P. Balaji
Soumyajit Karmakar
Shyam Marjit
Xiang Li
Abhijit Das
Michael S. Ryoo
316
24
0
31 Oct 2023
PolyThrottle: Energy-efficient Neural Network Inference on Edge Devices
PolyThrottle: Energy-efficient Neural Network Inference on Edge Devices
Minghao Yan
Hongyi Wang
Shivaram Venkataraman
317
1
0
30 Oct 2023
Battle of the Backbones: A Large-Scale Comparison of Pretrained Models
  across Computer Vision Tasks
Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Computer Vision TasksNeural Information Processing Systems (NeurIPS), 2023
Micah Goldblum
Hossein Souri
Renkun Ni
Manli Shu
Viraj Prabhu
...
Adrien Bardes
Judy Hoffman
Ramalingam Chellappa
Andrew Gordon Wilson
Tom Goldstein
VLM
474
95
0
30 Oct 2023
DP-SGD with weight clipping
DP-SGD with weight clipping
Antoine Barczewski
Jan Ramon
431
1
0
27 Oct 2023
From Molecules to Materials: Pre-training Large Generalizable Models for
  Atomic Property Prediction
From Molecules to Materials: Pre-training Large Generalizable Models for Atomic Property PredictionInternational Conference on Learning Representations (ICLR), 2023
Nima Shoghi
Adeesh Kolluru
John R. Kitchin
Zachary W. Ulissi
C. L. Zitnick
Brandon M. Wood
AI4CE
343
53
0
25 Oct 2023
Manifold-Preserving Transformers are Effective for Short-Long Range
  Encoding
Manifold-Preserving Transformers are Effective for Short-Long Range EncodingConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Ayan Sengupta
Md. Shad Akhtar
Tanmoy Chakraborty
166
0
0
22 Oct 2023
On Bilingual Lexicon Induction with Large Language Models
On Bilingual Lexicon Induction with Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Yaoyiran Li
Anna Korhonen
Ivan Vulić
403
5
0
21 Oct 2023
Explainable Depression Symptom Detection in Social Media
Explainable Depression Symptom Detection in Social Media
Eliseo Bao Souto
Anxo Perez
Javier Parapar
259
16
0
20 Oct 2023
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