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Task-Driven Subspace Decomposition for Knowledge Sharing and Isolation in LoRA-based Continual Learning

Low-rank Decomposition and Adaptation (LoDA) performs a task-driven decomposition to build general and truly task-specific LoRA subspaces by solving two energy-based objectives, decoupling directions for knowledge sharing and isolation.

Ling-Feng He, De Cheng, Huai-Jie Wang et al. · 12 citations · ⚡2

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