Follow
Hong Liu
Hong Liu
Verified email at stanford.edu
Title
Cited by
Cited by
Year
Transferable adversarial training: A general approach to adapting deep classifiers
H Liu, M Long, J Wang, M Jordan
International Conference on Machine Learning, 4013-4022, 2019
1832019
Separate to adapt: Open set domain adaptation via progressive separation
H Liu, Z Cao, M Long, J Wang, Q Yang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
1272019
Learning to Adapt to Evolving Domains
H Liu, M Long, J Wang, Y Wang
Advances in Neural Information Processing Systems 33, 2020
182020
Cycle Self-Training for Domain Adaptation
H Liu, J Wang, M Long
Advances in Neural Information Processing Systems 34, 2021
172021
Towards Understanding the Transferability of Deep Representations
H Liu, M Long, J Wang, MI Jordan
arXiv preprint arXiv:1909.12031, 2019
162019
Self-supervised Learning is More Robust to Dataset Imbalance
H Liu, JZ HaoChen, A Gaidon, T Ma
International Conference on Learning Representations, 2022
142022
Meta-learning Transferable Representations with a Single Target Domain
H Liu, JZ HaoChen, C Wei, T Ma
arXiv preprint arXiv:2011.01418, 2020
22020
The system can't perform the operation now. Try again later.
Articles 1–7