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cs.LG2025
Data Aware Differentiable Neural Architecture Search for Tiny Keyword Spotting Applications
Yujia Shi, Emil Njor, Pablo Martínez-Nuevo +2
The success of Machine Learning is increasingly tempered by its significant resource footprint, driving interest in efficient paradigms like TinyML. However, the inherent complexit…
cs.NE2025
Fast Data Aware Neural Architecture Search via Supernet Accelerated Evaluation
Emil Njor, Colby Banbury, Xenofon Fafoutis
Tiny machine learning (TinyML) promises to revolutionize fields such as healthcare, environmental monitoring, and industrial maintenance by running machine learning models on low-p…