Baijiong Lin1, Weisen Jiang2, Feiyang Ye3

  • 1The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, 510000, China; HKUST(GZ) - SmartMore Joint Lab, Guangzhou, 510000, China.

概括

本研究介绍了双平衡多任务学习 (DB-MTL),以解决多任务学习中的性能问题,这些问题是由不平衡的任务损失和梯度造成的. DB-MTL有效地平衡任务,优于对基准数据集的现有方法.

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