Neighborhood-Aware Neural Architecture Search

1 Jan 2021 Anonymous

Existing neural architecture search (NAS) methods often return an architecture with good search performance but generalizes poorly to the test setting. To achieve better generalization, we propose a novel neighborhood-aware NAS formulation to identify flat-minima architectures in the search space, with the assumption that flat minima generalize better than sharp minima... (read more)

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Methods used in the Paper


METHOD TYPE
Convolution
Convolutions
Random Search
Hyperparameter Search