The Power of Training: How Different Neural Network Setups Influence the
Energy Demand

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The Power of Training: How Different Neural Network Setups Influence the Energy Demand

3 January 2024

Daniel Geissler

Mengxi Liu

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Papers citing "The Power of Training: How Different Neural Network Setups Influence the Energy Demand"

13 / 13 papers shown

Title
TASKED: Transformer-based Adversarial learning for human activity recognition using wearable sensors via Self-KnowledgE Distillation Sungho Suh Vitor Fortes Rey P. Lukowicz 88 62 0 14 Sep 2022
Eco2AI: carbon emissions tracking of machine learning models as the first step towards sustainable AI S. Budennyy V. Lazarev N. Zakharenko A. Korovin Olga Plosskaya ... Ivan Oseledets I. Barsola Ilya M. Egorov A. Kosterina L. Zhukov 83 106 0 31 Jul 2022
Great Power, Great Responsibility: Recommendations for Reducing Energy for Training Language Models Joseph McDonald Baolin Li Nathan C. Frey Devesh Tiwari V. Gadepally S. Samsi 63 51 0 19 May 2022
The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrink David A. Patterson Joseph E. Gonzalez Urs Holzle Quoc V. Le Chen Liang Lluís-Miquel Munguía D. Rothchild David R. So Maud Texier J. Dean AI4CE 89 248 0 11 Apr 2022
Hyperparameter Optimization: Foundations, Algorithms, Best Practices and Open Challenges B. Bischl Martin Binder Michel Lang Tobias Pielok Jakob Richter ... Theresa Ullmann Marc Becker A. Boulesteix Difan Deng Marius Lindauer 245 503 0 13 Jul 2021
On Hyperparameter Optimization of Machine Learning Algorithms: Theory and Practice Li Yang Abdallah Shami AI4CE 209 2,119 0 30 Jul 2020
Carbontracker: Tracking and Predicting the Carbon Footprint of Training Deep Learning Models Lasse F. Wolff Anthony Benjamin Kanding Raghavendra Selvan HAI 69 315 0 06 Jul 2020
Hyper-Parameter Optimization: A Review of Algorithms and Applications Tong Yu Hong Zhu AAML 84 540 0 12 Mar 2020
Towards the Systematic Reporting of the Energy and Carbon Footprints of Machine Learning Peter Henderson Jie Hu Joshua Romoff Emma Brunskill Dan Jurafsky Joelle Pineau 94 457 0 31 Jan 2020
Quantifying the Carbon Emissions of Machine Learning Alexandre Lacoste A. Luccioni Victor Schmidt Thomas Dandres 112 712 0 21 Oct 2019
Energy and Policy Considerations for Deep Learning in NLP Emma Strubell Ananya Ganesh Andrew McCallum 83 2,659 0 05 Jun 2019
Multi-Task Convolutional Neural Network for Pose-Invariant Face Recognition Xi Yin Xiaoming Liu CVBM 83 285 0 15 Feb 2017
Deep Learning Face Attributes in the Wild Ziwei Liu Ping Luo Xiaogang Wang Xiaoou Tang CVBM 268 8,433 0 28 Nov 2014

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