Xichun Liu

Beyond Static Allocation: Dynamic Sensitivity-Aware Fine-Tuning for Vision Transformers

Existing Parameter-Efficient Fine-Tuning (PEFT) methods are fundamentally constrained by a static allocation paradigm, which overlooks the model's evolving optimization priorities during training. To address this, we introduce Dynamic Adaptive Fine-tuning (DAF), a novel framework that periodically e…