Paul Liang

FindAdaptNet: Find and Insert Adapters by Learned Layer Importance

Adapters are lightweight bottleneck modules introduced to assist pre-trained self-supervised learning (SSL) models to be customized to new tasks. However, searching the appropriate layers to insert adapters on large models has become difficult due to the large number of possible layers and thus a va…