Abstract: Evolutionary multi-objective multi-task optimization (MO-MTO) can optimize multiple tasks simultaneously by knowledge transfer (KT) between tasks. However, the existing MO-MTO algorithms ...
Abstract: Optimization plays a central role in multitask learning (MTL), yet widely used optimizers such as Adam and AdamW assume uniform parameter updates across tasks, often leading to optimization ...
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