In this paper, we aim at parameter and computation efficient transfer learning (PCETL) for VLP models.

The question of what makes a data distribution suitable for deep learning is a fundamental open problem.

Recently, researchers in Vision-Language (VL) domains also develop their few-shot learners, while they only use the simplest way, i .

Both component functions are in expectation forms, i.e.,