2019
Transfer Learning via Minimizing the Performance Gap Between Domains
NeurIPS 2019poster
We propose a new principle for transfer learning, based on a straightforward intuition: if two domains are similar to each other, the model trained on one domain should also perform well on the other domain, and vice versa. To formalize this intuition, we define the performance gap as a measure of t…