9 citations · 9 across the 2 of their papers we have counts for
Showing cs.LGShow all
2 papers · 1 filter
cs.LG2024★ 9 cited
Measuring the Energy Consumption and Efficiency of Deep Neural Networks: An Empirical Analysis and Design Recommendations
Charles Edison Tripp, Jordan Perr-Sauer, Jamil Gafur +4
Addressing the so-called ``Red-AI'' trend of rising energy consumption by large-scale neural networks, this study investigates the actual energy consumption, as measured by node-le…
cs.LG2023
A Machine Learning Method for Predicting Traffic Signal Timing from Probe Vehicle Data
Juliette Ugirumurera, Joseph Severino, Erik A. Bensen +2
Traffic signals play an important role in transportation by enabling traffic flow management, and ensuring safety at intersections. In addition, knowing the traffic signal phase an…