NSGA-Net: Neural Architecture Search using Multi-Objective Genetic Algorithm

8 Oct 2018Zhichao LuIan WhalenVishnu BoddetiYashesh DhebarKalyanmoy DebErik GoodmanWolfgang Banzhaf

This paper introduces NSGA-Net -- an evolutionary approach for neural architecture search (NAS). NSGA-Net is designed with three goals in mind: (1) a procedure considering multiple and conflicting objectives, (2) an efficient procedure balancing exploration and exploitation of the space of potential neural network architectures, and (3) a procedure finding a diverse set of trade-off network architectures achieved in a single run... (read more)

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