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Efficient Decoupled Neural Architecture Search By Structure And Operation Sampling
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Efficient Decoupled Neural Architecture Search By Structure And Operation Sampling
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
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