,

Yan Xian1, Hong Yu2, Ye Wang1

  • 1Chongqing Key Laboratory of Computational Intelligence, Chongqing University of Posts and Telecommunications, No.2 Chongwen Road, Chongqing, 400065, China.

Brain informatics
|March 17, 2025
PubMed
概括

班级增量学习 (CIL) 面临着由于记忆有限而导致的灾难性遗忘. 我们的多细分平衡策略 (MGBCIL) 通过平衡新旧数据,提高准确性和减少遗忘来缓解这一问题.

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