NeurIPS 2020

Co-Tuning for Transfer Learning

Meta Review

This paper presents a simple method which seems to work well in practice. Some reviewers would have preferred to see more discussion on limitations of the method. However, the contribution was deemed clear enough without this discussion, because of the intuitive, novel take on the popular fine-tuning task, as well as the strong performance demonstrated on popular vision tasks. Overall, the paper is expected to be of interest to the community.