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Efficient Decoupled Neural Architecture Search By Structure And Operation Sampling

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IEEE ICASSP 2020 Virtual Conference May 2020

We propose a novel neural architecture search algorithm via reinforcement learning by decoupling structure and operation search. Our approach samples candidate models from the multinomial distribution over the policy vectors. The proposed technique improv

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Efficient Decoupled Neural Architecture Search By Structure And Operation Sampling

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We propose a novel neural architecture search algorithm via reinforcement learning by decoupling structure and operation search. Our approach samples candidate models from the multinomial distribution over the policy vectors. The proposed technique improv