Sep 30, 2021 · The objective of this research is to find a model with sufficient accuracy with a limited number of weights and to reduce the search time.
Sep 27, 2021 · The objective of this research is to find a model with sufficient accuracy with a limited number of weights and to reduce the search time.
Neural architecture search (NAS) is a promising method to ascertain network architecture automatically and to build a suitable network for a particular ...
Neural architecture search (NAS) is a promising method to ascertain network architecture automatically and to build a suitable network for a particular ...
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Dec 18, 2018 · There is a false dichotomy between NAS and traditional hyperparameter optimization; in fact, NAS is a subset of hyperparameter optimization.
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Sep 25, 2019 · A comprehensive study of the impact of weight-sharing in Neural Architecture Search.
Neural architecture search (NAS) is a technique for automating the design of artificial neural networks (ANN), a widely used model in the field of machine ...
Feb 14, 2022 · This paper reviews the recent works on NAS and highlights several crucial concepts and problems of this field.
Jun 8, 2024 · “Neural Architecture Search without Training” presents a novel and incredibly fast way to evaluate neural network architectures.
Jun 12, 2019 · We propose a search method for neural network architectures that can already perform a task without any explicit weight training.