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Updated: Aug 4, 2026

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Published on: December 6, 2024

适应性预训练模型的双重原型在课堂增量学习中

Zhiming Xu1, Suorong Yang2, Baile Xu1

  • 1State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, 210023, China; School of Artificial Intelligence, Nanjing University, China.

Neural networks : the official journal of the International Neural Network Society
|December 6, 2025
PubMed
概括

本研究介绍了双原型网络与任务明智的适应 (DPTA) 打击灾难性忘记在课堂增量学习 (CIL) 使用预训练模型. DPTA提高了知识的保留和新任务的表现.

关键词:
课堂上的增量学习.两个原型.预先训练有素的模型.根据任务明智的适应.

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