Jinglei Tang*

Straightforward Layer-wise Pruning for More Efficient Visual Adaptation

"Parameter-efficient transfer learning (PETL) aims to adapt large pre-trained models using limited parameters. While most PETL approaches update the added parameters and freeze pre-trained weights during training, the minimal impact of task-specific deep layers on cross-domain data poses a challenge…