EnergyVis: Interactively Tracking and Exploring Energy Consumption for ML Models

30 March 2021

Papers citing "EnergyVis: Interactively Tracking and Exploring Energy Consumption for ML Models"

5 / 5 papers shown

Title
Towards energy-efficient Deep Learning: An overview of energy-efficient approaches along the Deep Learning Lifecycle Vanessa Mehlin Sigurd Schacht Carsten Lanquillon HAI MedIm 33 19 0 05 Feb 2023
Measuring the Carbon Intensity of AI in Cloud Instances Jesse Dodge Taylor Prewitt Rémi Tachet des Combes Erika Odmark Roy Schwartz Emma Strubell A. Luccioni Noah A. Smith Nicole DeCario Will Buchanan 24 181 0 10 Jun 2022
Towards Green Automated Machine Learning: Status Quo and Future Directions Tanja Tornede Alexander Tornede Jonas Hanselle Marcel Wever F. Mohr Eyke Hüllermeier 57 37 0 10 Nov 2021
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 297 6,956 0 20 Apr 2018
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 950 20,561 0 17 Apr 2017