Minimizing Energy Costs in Deep Learning Model Training: The Gaussian
Sampling Approach

Minimizing Energy Costs in Deep Learning Model Training: The Gaussian Sampling Approach

11 June 2024

Challapalli Phanindra Revanth

Sumohana S. Channappayya

C Krishna Mohan

Papers citing "Minimizing Energy Costs in Deep Learning Model Training: The Gaussian Sampling Approach"

5 / 5 papers shown

Title
Green Learning: Introduction, Examples and Outlook C.-C. Jay Kuo A. Madni 65 71 0 03 Oct 2022
MLP-Mixer: An all-MLP Architecture for Vision Ilya O. Tolstikhin N. Houlsby Alexander Kolesnikov Lucas Beyer Xiaohua Zhai ... Andreas Steiner Daniel Keysers Jakob Uszkoreit Mario Lucic Alexey Dosovitskiy 271 2,603 0 04 May 2021
Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks Torsten Hoefler Dan Alistarh Tal Ben-Nun Nikoli Dryden Alexandra Peste MQ 141 684 0 31 Jan 2021
Out-of-Distribution Generalization via Risk Extrapolation (REx) David M. Krueger Ethan Caballero J. Jacobsen Amy Zhang Jonathan Binas Dinghuai Zhang Rémi Le Priol Aaron Courville OOD 215 901 0 02 Mar 2020
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 288 75,800 0 18 May 2015