2 papers
cs.CV2024
Towards Compatible Fine-tuning for Vision-Language Model Updates
Zhengbo Wang, Jian Liang, Lijun Sheng +3
So far, efficient fine-tuning has become a popular strategy for enhancing the capabilities of foundation models on downstream tasks by learning plug-and-play modules. However, exis…
cs.LG2024
Prototypical Distillation and Debiased Tuning for Black-box Unsupervised Domain Adaptation
Jian Liang, Lijun Sheng, Hongmin Liu +1
Unsupervised domain adaptation aims to transfer knowledge from a related, label-rich source domain to an unlabeled target domain, thereby circumventing the high costs associated wi…