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公开(公告)号:US20240062049A1
公开(公告)日:2024-02-22
申请号:US18355619
申请日:2023-07-20
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Yujie ZENG , Wenlong HE , Lin CHEN , Ihor VASYLTSOV
Abstract: A processor implemented method including iteratively training a model through repeated training operations, including calculating a respective sensitivity of each layer of plural layers included in the model, the model including a machine-learning model, calculating a first maintenance probability for a t-th repeated training of the model, calculating a respective maintenance probability of each of the plural layers of the model based on the respective sensitivity of each of the plural layers and based on the first maintenance probability for the t-th repeated training of the model, and performing the t-th repeated training of the model including training selected one or more maintenance layers, of the plural layers of the model, whose respective maintenance probabilities satisfy a first predetermined maintenance condition.