在持续学习中重新审视平面感知优化,使用直角梯度投影

概括

持续学习 (CL) 方法可以忘记旧的任务. 本研究介绍了一种双平面意识的OGD框架,以优化损失景观平面度,提高新任务的性能,而不忘记旧任务.

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