Yonggang Zhang

Prompt Distribution Learning

2022 · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

We present prompt distribution learning for effectively adapting a pre-trained vision-language model to address downstream recognition tasks. Our method not only learns low-bias prompts from a few samples but also captures the distribution of diverse …

Learning to Augment Distributions for Out-of-Distribution Detection

2023 · arXiv (Cornell University)

Open-world classification systems should discern out-of-distribution (OOD) data whose labels deviate from those of in-distribution (ID) cases, motivating recent studies in OOD detection. Advanced works, despite their promising progress, may still fail in the open …