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

    GECCO, pp. 419-427, 2019.

    Cited by: 21|Bibtex|Views13|Links
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    Abstract:

    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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