Open access
Jul 2026
MLAE: Masked LoRA Experts for Parameter-Efficient Fine-Tuning
In response to the challenges posed by the extensive parameter updates required for full fine-tuning of large-scale pre-trained models, parameter-efficient fine-tuning (PEFT) methods, exemplified by Low-Rank Adaptation (LoRA), have emerged. LoRA simplifies the fine-tuning process but may still struggle with a certain l...
Junjie Wang, Guangjing Yang, Wentao Chen et al.
· IEEE Transactions on Image P... · 2 citations