6 citations · 11 across the 6 of their papers we have counts for
Showing 2022 · cs.LGShow all
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cs.LG2022★ 1 cited
POPNASv3: a Pareto-Optimal Neural Architecture Search Solution for Image and Time Series Classification
Andrea Falanti, Eugenio Lomurno, Danilo Ardagna +1
The automated machine learning (AutoML) field has become increasingly relevant in recent years. These algorithms can develop models without the need for expert knowledge, facilitat…
cs.LG2022★ 6 cited
POPNASv2: An Efficient Multi-Objective Neural Architecture Search Technique
Andrea Falanti, Eugenio Lomurno, Stefano Samele +2
Automating the research for the best neural network model is a task that has gained more and more relevance in the last few years. In this context, Neural Architecture Search (NAS)…