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ORCIDMichael I. Jordan
- > Home > Persons > Michael I. Jordan
Publications
- 2023
[j117]Yuchen Zhang, Mingsheng Long
, Kaiyuan Chen, Lanxiang Xing, Ronghua Jin, Michael I. Jordan, Jianmin Wang:
Skilful nowcasting of extreme precipitation with NowcastNet. Nat. 619(7970): 526-532 (2023)- 2022
- [j113]Kaichao You, Yong Liu, Ziyang Zhang, Jianmin Wang, Michael I. Jordan, Mingsheng Long:
Ranking and Tuning Pre-trained Models: A New Paradigm for Exploiting Model Hubs. J. Mach. Learn. Res. 23: 209:1-209:47 (2022) - 2021
- [i211]Kaichao You, Yong Liu, Jianmin Wang, Michael I. Jordan, Mingsheng Long:
Ranking and Tuning Pre-trained Models: A New Paradigm of Exploiting Model Hubs. CoRR abs/2110.10545 (2021) - 2020
- [c286]Ximei Wang, Mingsheng Long, Jianmin Wang, Michael I. Jordan:
Transferable Calibration with Lower Bias and Variance in Domain Adaptation. NeurIPS 2020 - [i174]Ximei Wang, Mingsheng Long, Jianmin Wang, Michael I. Jordan:
Transferable Calibration with Lower Bias and Variance in Domain Adaptation. CoRR abs/2007.08259 (2020) - [i173]Yuchen Zhang, Mingsheng Long, Jianmin Wang, Michael I. Jordan:
On Localized Discrepancy for Domain Adaptation. CoRR abs/2008.06242 (2020) - 2019
- [j91]Mingsheng Long, Yue Cao, Zhangjie Cao, Jianmin Wang, Michael I. Jordan:
Transferable Representation Learning with Deep Adaptation Networks. IEEE Trans. Pattern Anal. Mach. Intell. 41(12): 3071-3085 (2019) - [c281]Kaichao You, Mingsheng Long, Zhangjie Cao, Jianmin Wang, Michael I. Jordan:
Universal Domain Adaptation. CVPR 2019: 2720-2729 - [c278]Hong Liu, Mingsheng Long, Jianmin Wang, Michael I. Jordan:
Transferable Adversarial Training: A General Approach to Adapting Deep Classifiers. ICML 2019: 4013-4022 - [c272]Ximei Wang, Ying Jin, Mingsheng Long, Jianmin Wang, Michael I. Jordan:
Transferable Normalization: Towards Improving Transferability of Deep Neural Networks. NeurIPS 2019: 1951-1961 - [i124]Kaichao You, Mingsheng Long, Michael I. Jordan, Jianmin Wang:
Learning Stages: Phenomenon, Root Cause, Mechanism Hypothesis, and Implications. CoRR abs/1908.01878 (2019) - [i122]Hong Liu, Mingsheng Long, Jianmin Wang, Michael I. Jordan:
Towards Understanding the Transferability of Deep Representations. CoRR abs/1909.12031 (2019) - 2018
- [c264]Zhangjie Cao, Mingsheng Long, Jianmin Wang, Michael I. Jordan:
Partial Transfer Learning With Selective Adversarial Networks. CVPR 2018: 2724-2732 - [c259]Mingsheng Long, Zhangjie Cao, Jianmin Wang, Michael I. Jordan:
Conditional Adversarial Domain Adaptation. NeurIPS 2018: 1647-1657 - [c258]Shichen Liu, Mingsheng Long, Jianmin Wang, Michael I. Jordan:
Generalized Zero-Shot Learning with Deep Calibration Network. NeurIPS 2018: 2009-2019 - 2017
- [c245]Mingsheng Long, Han Zhu, Jianmin Wang, Michael I. Jordan:
Deep Transfer Learning with Joint Adaptation Networks. ICML 2017: 2208-2217 - [i93]Mingsheng Long, Zhangjie Cao, Jianmin Wang, Michael I. Jordan:
Domain Adaptation with Randomized Multilinear Adversarial Networks. CoRR abs/1705.10667 (2017) - [i88]Zhangjie Cao, Mingsheng Long, Jianmin Wang, Michael I. Jordan:
Partial Transfer Learning with Selective Adversarial Networks. CoRR abs/1707.07901 (2017) - 2016
- [c231]Mingsheng Long, Han Zhu, Jianmin Wang, Michael I. Jordan:
Unsupervised Domain Adaptation with Residual Transfer Networks. NIPS 2016: 136-144 - [i78]Mingsheng Long, Jianmin Wang, Michael I. Jordan:
Unsupervised Domain Adaptation with Residual Transfer Networks. CoRR abs/1602.04433 (2016) - [i71]Mingsheng Long, Jianmin Wang, Michael I. Jordan:
Deep Transfer Learning with Joint Adaptation Networks. CoRR abs/1605.06636 (2016) - 2015
- [c224]Mingsheng Long, Yue Cao, Jianmin Wang, Michael I. Jordan:
Learning Transferable Features with Deep Adaptation Networks. ICML 2015: 97-105
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