公开(公告)号：US20240220809A1

公开(公告)日：2024-07-04

申请号：US18392227

申请日：2023-12-21

Applicant: KOREA ADVANCED INSTITUTE OF SCIENCE AND TECHNOLOGY

Inventor： Changdong YOO ,  Haeyong KANG

IPC: G06N3/091 ,  G06N3/045

CPC classification number: G06N3/091 ,  G06N3/045

Abstract: A computing device performs a continual learning method of learning a plurality of task in a sequential order. The computing device uses, in a forward pass of a neural network for learning a current task of the plurality of tasks, a plurality of weights including selected weights, the selected weights being selected in a previous task of the plurality of tasks, freezes the selected weights and updates weights excluding the selected weights from the plurality of weights in a backward pass of the neural network for learning the current task, obtains a binary mask for selecting some weights of the plurality of weights based on a weight score of each of the plurality of weights, and finds a subnetwork of the neural network for the current task based on the binary mask.