Abstract: Bayesian optimization (BO) is a popular method for solving expensive black-box problems. However, when the dimension of the problem increases, the performance of BO decreases dramatically.
Abstract: Deep neural network (DNN) accelerators [1-3] have been proposed to accelerate deep learning algorithms from face recognition to emotion recognition in mobile or embedded environments [3].
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