661 citations · 664 across the 3 of their papers we have counts for
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stat.ML2020★ 2 cited
Multi-level Training and Bayesian Optimization for Economical Hyperparameter Optimization
Yang Yang, Ke Deng, Michael Zhu
Hyperparameters play a critical role in the performances of many machine learning methods. Determining their best settings or Hyperparameter Optimization (HPO) faces difficulties p…
stat.ML2017★ 661 cited
To prune, or not to prune: exploring the efficacy of pruning for model compression
Michael Zhu, Suyog Gupta
Model pruning seeks to induce sparsity in a deep neural network's various connection matrices, thereby reducing the number of nonzero-valued parameters in the model. Recent reports…