most citedSVFit: Parameter-Efficient Fine-Tuning of Large Pre-Trained Models Using Singular Values

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cs.CV2024

LoLDU: Low-Rank Adaptation via Lower-Diag-Upper Decomposition for Parameter-Efficient Fine-Tuning

Yiming Shi, Jiwei Wei, Yujia Wu +4

The rapid growth of model scale has necessitated substantial computational resources for fine-tuning. Existing approach such as Low-Rank Adaptation (LoRA) has sought to address the…