RANK-NOSH: Efficient Predictor-Based Architecture Search via
Non-Uniform Successive Halving
Ruochen Wang1 , Xiangning Chen1 , Minhao Cheng1 , Xiaocheng Tang2 , Cho-Jui Hsieh1
1
Department of Computer Science, UCLA, 2 DiDi AI Labs
Abstract cess in improving the search efficiency of NAS [2, 7, 23,
29, 44]. Those methods train a supernet that encompasses
Predictor-based algorithms have achieved ...


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