Web: http://arxiv.org/abs/2201.06321

Jan. 21, 2022, 2:11 a.m. | Kalifou René Traoré, Andrés Camero, Xiao Xiang Zhu

cs.LG updates on arXiv.org arxiv.org

With the rapid rise of neural architecture search, the ability to understand
its complexity from the perspective of a search algorithm is desirable.
Recently, Traor\'e et al. have proposed the framework of Fitness Landscape
Footprint to help describe and compare neural architecture search problems. It
attempts at describing why a search strategy might be successful, struggle or
fail on a target task. Our study leverages this methodology in the context of
searching across sensors, including sensor data fusion. In particular, …

architecture arxiv neural neural architecture search search sensors

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