6 citations · 6 across the 2 of their papers we have counts for
2 papers
cs.CV2022
Neighbor Regularized Bayesian Optimization for Hyperparameter Optimization
Lei Cui, Yangguang Li, Xin Lu +2
Bayesian Optimization (BO) is a common solution to search optimal hyperparameters based on sample observations of a machine learning model. Existing BO algorithms could converge sl…
cs.CV2020★ 6 cited
ModuleNet: Knowledge-inherited Neural Architecture Search
Yaran Chen, Ruiyuan Gao, Fenggang Liu +1
Although Neural Architecture Search (NAS) can bring improvement to deep models, they always neglect precious knowledge of existing models. The computation and time costing property…