The advent of deep learning algorithms for mobile devices and sensors has led to a
dramatic expansion in the availability and number of systems trained on a wide range of …

Selecting an appropriate pre-trained model (PTM) for a specific downstream task typically
requires significant efforts of fine-tuning. To accelerate this process, researchers propose …

In standard supervised learning, we assume that we are trying to learn some target variable
𝑌 from some data 𝑋. However, many learning problems can be framed as supervised …