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 Demand

3 January 2024

Daniel Geissler

Mengxi Liu

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

5 / 5 papers shown

Title
Strategies and Challenges of Efficient White-Box Training for Human Activity Recognition Daniel Geissler Bo Zhou P. Lukowicz HAI 54 1 0 11 Dec 2024
Towards certifiable AI in aviation: landscape, challenges, and opportunities Hymalai Bello Daniel Geißler L. Ray Stefan Muller-Divéky Peter Muller Shannon Kittrell Mengxi Liu Bo Zhou Paul Lukowicz 21 1 0 13 Sep 2024
Leveraging Hybrid Intelligence Towards Sustainable and Energy-Efficient Machine Learning Daniel Geissler P. Lukowicz 27 0 0 15 Jul 2024
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 19 44 0 19 May 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 77 443 0 13 Jul 2021