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Yang Shu
Publications
- 2023
- [j10]Yang Shu, Zhangjie Cao, Jinghan Gao, Jianmin Wang, Philip S. Yu, Mingsheng Long:
Omni-Training: Bridging Pre-Training and Meta-Training for Few-Shot Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 15275-15291 (2023) - 2022
- [c16]Yang Shu, Zhangjie Cao, Ziyang Zhang, Jianmin Wang, Mingsheng Long:
Hub-Pathway: Transfer Learning from A Hub of Pre-trained Models. NeurIPS 2022 - [i4]Yang Shu, Zhangjie Cao, Ziyang Zhang, Jianmin Wang, Mingsheng Long:
Hub-Pathway: Transfer Learning from A Hub of Pre-trained Models. CoRR abs/2206.03726 (2022) - 2021
- [c15]Yang Shu, Zhangjie Cao, Chenyu Wang, Jianmin Wang, Mingsheng Long:
Open Domain Generalization with Domain-Augmented Meta-Learning. CVPR 2021: 9624-9633 - [c14]Yang Shu, Zhi Kou, Zhangjie Cao, Jianmin Wang, Mingsheng Long:
Zoo-Tuning: Adaptive Transfer from A Zoo of Models. ICML 2021: 9626-9637 - [i3]Yang Shu, Zhangjie Cao, Chenyu Wang, Jianmin Wang, Mingsheng Long:
Open Domain Generalization with Domain-Augmented Meta-Learning. CoRR abs/2104.03620 (2021) - [i2]Yang Shu, Zhi Kou, Zhangjie Cao, Jianmin Wang, Mingsheng Long:
Zoo-Tuning: Adaptive Transfer from a Zoo of Models. CoRR abs/2106.15434 (2021) - [i1]Yang Shu, Zhangjie Cao, Jinghan Gao, Jianmin Wang, Mingsheng Long:
Omni-Training for Data-Efficient Deep Learning. CoRR abs/2110.07510 (2021) - 2019
- [c13]Yang Shu, Zhangjie Cao, Mingsheng Long, Jianmin Wang:
Transferable Curriculum for Weakly-Supervised Domain Adaptation. AAAI 2019: 4951-4958
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