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Hong Liu
Hong Liu
Verified email at stanford.edu - Homepage
Title
Cited by
Cited by
Year
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
2952019
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
2832019
Cycle Self-Training for Domain Adaptation
H Liu, J Wang, M Long
Advances in Neural Information Processing Systems 34, 2021
1442021
Self-supervised Learning is More Robust to Dataset Imbalance
H Liu, JZ HaoChen, A Gaidon, T Ma
International Conference on Learning Representations, 2022
1332022
Learning to Adapt to Evolving Domains
H Liu, M Long, J Wang, Y Wang
Advances in Neural Information Processing Systems 33, 2020
602020
Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-training
H Liu, Z Li, D Hall, P Liang, T Ma
arXiv preprint arXiv:2305.14342, 2023
412023
Towards Understanding the Transferability of Deep Representations
H Liu, M Long, J Wang, MI Jordan
arXiv preprint arXiv:1909.12031, 2019
292019
Same Pre-training Loss, Better Downstream: Implicit Bias Matters for Language Models
H Liu, SM Xie, Z Li, T Ma
International Conference on Machine Learning, 2023
212023
Meta-learning Transferable Representations with a Single Target Domain
H Liu, JZ HaoChen, C Wei, T Ma
arXiv preprint arXiv:2011.01418, 2020
72020
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Articles 1–9