EMAN: optimization-driven capacity growth through path emergence in multi-task learning
Read the original at arxiv.org→arXiv:2608.16930v1 Announce Type: new Abstract: Existing multi-task learning methods rely on hard sharing, multiple paths or experts, adaptive sharing, and dynamic expansion. However, their capacity changes are...
Original headline: "EMAN: Optimization-Driven Capacity Growth through Path Emergence in Multi-Task Learning"
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- Aug 19, 04:00 UTC arXiv cs.LG lead source EMAN: Optimization-Driven Capacity Growth through Path Emergence in Multi-Task Learning