Estimating distributions from samples is a fundamental statistical task.

Such a problem seriously hinders the realistic landing of classical SSL.

To better reuse the VLM resource and fully leverage its potential on different zero-shot image classification tasks, a promising strategy is selecting appropriate Pre-Trained VLMs from the VLM Zoo, relying solely on the text data of the target dataset without access to the dataset's images.