11 citations · 24 across the 3 of their papers we have counts for
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cs.LG2024★ 8 cited
Identifying architectural design decisions for achieving green ML serving
Francisco Durán, Silverio Martínez-Fernández, Matias Martinez +1
The growing use of large machine learning models highlights concerns about their increasing computational demands. While the energy consumption of their training phase has received…
cs.LG2023★ 11 cited
Energy Efficiency of Training Neural Network Architectures: An Empirical Study
Yinlena Xu, Silverio Martínez-Fernández, Matias Martinez +1
The evaluation of Deep Learning models has traditionally focused on criteria such as accuracy, F1 score, and related measures. The increasing availability of high computational pow…