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Accelerating neural architecture exploration across modalities using genetic algorithms
2022
Proceedings of the Genetic and Evolutionary Computation Conference Companion
Neural architecture search (NAS), the study of automating the discovery of optimal deep neural network architectures for tasks in domains such as computer vision and natural language processing, has seen rapid growth in the machine learning research community. While there have been many recent advancements in NAS, there is still a significant focus on reducing the computational cost incurred when validating discovered architectures by making search more efficient. Evolutionary algorithms,
doi:10.1145/3520304.3528786
fatcat:kvf65k6xerckznllnmgt6vtfty