AutoHAS: Efficient Hyperparameter and Architecture Search
Deep learning models often require extensive efforts in optimizing hyperparameters and architectures. Standard hyperparameter optimization methods are expensive because of their multi-trial nature: different configurations are tried separately to find the best... (read more)
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