NSGA-Net: Neural Architecture Search using Multi-Objective Genetic Algorithm
GECCO, pp. 419-427, 2019.
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) ...More
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Best Paper of GECCO, 2019