Carbontracker: Tracking and Predicting the Carbon Footprint of Training Deep Learning Models

6 July 2020

Lasse F. Wolff Anthony

Papers citing "Carbontracker: Tracking and Predicting the Carbon Footprint of Training Deep Learning Models"

33 / 133 papers shown

Title
The Risks of Machine Learning Systems Samson Tan Araz Taeihagh K. Baxter 37 5 0 21 Apr 2022
Experimental Standards for Deep Learning in Natural Language Processing Research Dennis Ulmer Elisa Bassignana Max Müller-Eberstein Daniel Varab Mike Zhang Rob van der Goot Christian Hardmeier Barbara Plank 102 10 0 13 Apr 2022
FedSyn: Synthetic Data Generation using Federated Learning Monik R Behera Sudhir Upadhyay S. Shetty S. Priyadarshini Palka Patel Ker Farn Lee FedML 72 13 0 11 Mar 2022
Carbon Footprint of Selecting and Training Deep Learning Models for Medical Image Analysis Raghavendra Selvan N. Bhagwat Lasse F. Wolff Anthony Benjamin Kanding Erik Dam 131 25 0 04 Mar 2022
SCR: Smooth Contour Regression with Geometric Priors Gaétan Bahl Lionel Daniel Florent Lafarge 83 1 0 08 Feb 2022
Implementation of a Binary Neural Network on a Passive Array of Magnetic Tunnel Junctions Jonathan M. Goodwill N. Prasad Brian D. Hoskins M. Daniels A. Madhavan ... M. Tran J. Katine Patrick M. Braganca M. D. Stiles Jabez J. McClelland 71 10 0 16 Dec 2021
Road Extraction from Overhead Images with Graph Neural Networks Gaétan Bahl Mehdi Bahri Florent Lafarge 89 5 0 09 Dec 2021
Edge-Native Intelligence for 6G Communications Driven by Federated Learning: A Survey of Trends and Challenges Mohammad M. Al-Quraan Lina S. Mohjazi Lina Bariah A. Centeno A. Zoha Sami Muhaidat Mérouane Debbah Muhammad Ali Imran 93 67 0 14 Nov 2021
Keys to Accurate Feature Extraction Using Residual Spiking Neural Networks Alex Vicente-Sola D. L. Manna Paul Kirkland G. D. Caterina Trevor Bihl University of Strathclyde 53 22 0 10 Nov 2021
Towards Green Automated Machine Learning: Status Quo and Future Directions Tanja Tornede Alexander Tornede Jonas Hanselle Marcel Wever F. Mohr Eyke Hüllermeier 121 38 0 10 Nov 2021
Unraveling the Hidden Environmental Impacts of AI Solutions for Environment Anne-Laure Ligozat J. Lefèvre Aurélie Bugeau Jacques Combaz 75 107 0 22 Oct 2021
Artificial intelligence for Sustainable Energy: A Contextual Topic Modeling and Content Analysis T. Saheb Mohammad Dehghani 52 55 0 02 Oct 2021
Training Spiking Neural Networks Using Lessons From Deep Learning Jason K. Eshraghian Max Ward Emre Neftci Xinxin Wang Gregor Lenz Girish Dwivedi Bennamoun Doo Seok Jeong Wei D. Lu 135 465 0 27 Sep 2021
Patch-based Medical Image Segmentation using Matrix Product State Tensor Networks Raghavendra Selvan Erik Dam Soren Alexander Flensborg Jens Petersen MedIm 98 2 0 15 Sep 2021
Compute and Energy Consumption Trends in Deep Learning Inference Radosvet Desislavov Fernando Martínez-Plumed José Hernández-Orallo 73 119 0 12 Sep 2021
Dynamic Neural Network Architectural and Topological Adaptation and Related Methods -- A Survey Lorenz Kummer AI4CE 68 0 0 28 Jul 2021
Dissecting FLOPs along input dimensions for GreenAI cost estimations Andrea Asperti David Evangelista M. Marzolla 28 13 0 26 Jul 2021
Cats, not CAT scans: a study of dataset similarity in transfer learning for 2D medical image classification Irma van den Brandt F. Fok B. Mulders Joaquin Vanschoren Veronika Cheplygina 45 4 0 13 Jul 2021
Energy Consumption of Deep Generative Audio Models Constance Douwes P. Esling Jean-Pierre Briot MedIm 56 13 0 06 Jul 2021
Distributed Deep Learning in Open Collaborations Michael Diskin Alexey Bukhtiyarov Max Ryabinin Lucile Saulnier Quentin Lhoest ... Denis Mazur Ilia Kobelev Yacine Jernite Thomas Wolf Gennady Pekhimenko FedML 129 59 0 18 Jun 2021
IrEne: Interpretable Energy Prediction for Transformers Qingqing Cao Yash Kumar Lal H. Trivedi A. Balasubramanian Niranjan Balasubramanian 35 14 0 02 Jun 2021
A Bregman Learning Framework for Sparse Neural Networks Leon Bungert Tim Roith Daniel Tenbrinck Martin Burger 89 18 0 10 May 2021
EnergyVis: Interactively Tracking and Exploring Energy Consumption for ML Models Omar Shaikh Jon Saad-Falcon Austin P. Wright Nilaksh Das Scott Freitas O. Asensio Duen Horng Chau 52 20 0 30 Mar 2021
Shrinking Bigfoot: Reducing wav2vec 2.0 footprint Zilun Peng Akshay Budhkar Ilana Tuil J. Levy Parinaz Sobhani Raphael Cohen J. Nassour 55 33 0 29 Mar 2021
A Framework for Energy and Carbon Footprint Analysis of Distributed and Federated Edge Learning S. Savazzi Sanaz Kianoush V. Rampa M. Bennis 83 15 0 18 Mar 2021
Segmenting two-dimensional structures with strided tensor networks Raghavendra Selvan Erik Dam Jens Petersen 102 6 0 13 Feb 2021
Multi-layered tensor networks for image classification Raghavendra Selvan S. Orting Erik Dam 81 3 0 13 Nov 2020
DeepSim: Semantic similarity metrics for learned image registration Steffen Czolbe Oswin Krause Aasa Feragen 43 8 0 11 Nov 2020
InferBench: Understanding Deep Learning Inference Serving with an Automatic Benchmarking System Huaizheng Zhang Yizheng Huang Yonggang Wen Jianxiong Yin K. Guan 43 3 0 04 Nov 2020
Can Federated Learning Save The Planet? Xinchi Qiu Titouan Parcollet Daniel J. Beutel Taner Topal Akhil Mathur Nicholas D. Lane 74 81 0 13 Oct 2020
Locally orderless tensor networks for classifying two- and three-dimensional medical images Raghavendra Selvan S. Orting Erik Dam 107 6 0 25 Sep 2020
Uncertainty quantification in medical image segmentation with normalizing flows Raghavendra Selvan F. Faye Jon Middleton A. Pai MedIm 85 31 0 04 Jun 2020
Lung Segmentation from Chest X-rays using Variational Data Imputation Raghavendra Selvan Erik Dam Nicki S. Detlefsen Sofus Rischel Kaining Sheng Mads Nielsen A. Pai 111 56 0 20 May 2020