A Model-Agnostic Approach to Mitigate Gradient Interference for Multi-Task Learning.
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DOI: 10.1109/tcyb.2022.3223377
Abstract: Multitask learning (MTL) is a powerful technique for jointly learning multiple tasks. However, it is difficult to achieve a tradeoff between tasks during iterative training, as some tasks may compete with each other. Existing methods… read more here.
Keywords: gradient interference; task; model agnostic;