CV
UAI

Simple Transferability Estimation for Regression Tasks

May 8, 2023

Transfer learning has been a widely used technique to adapt a deep learning model trained for one task to another when there is a data distribution shift between these tasks. To improve the effectiveness of transfer learning and to understand relationships between tasks, we consider the problem of transferability estimation between regression tasks and propose two novel transferability estimators that are simple, computationally efficient, yet effective and theoretically grounded. We test our proposed methods extensively in various challenging, practical scenarios and show they significantly outperform existing state-of-the-art regression task transferability estimators in both accuracy and efficiency.

Overall

< 1 minute

Cuong N. Nguyen, Phong Tran, Lam Si Tung Ho, Vu Dinh, Anh T. Tran, Tal Hassner, Cuong V. Nguyen

UAI 2023

Share Article

Related publications

CV
CVPR Top Tier
March 6, 2024

Supreeth Narasimhaswamy, Huy Nguyen, Lihan Huang, Minh Hoai

CV
CVPR Top Tier
March 6, 2024

Ka Chun Shum, Jaeyeon Kim, Binh-Son Hua, Duc Thanh Nguyen, Sai-Kit Yeung

CV
CVPR Top Tier
March 6, 2024

Phong Tran, Egor Zakharov, Long-Nhat Ho, Anh Tran, Liwen Hu, Hao Li

CV
CVPR Top Tier
March 6, 2024

Trung Tuan Dao, Duc Hong Vu, Cuong Pham, Anh Tran