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Demystifying How Self-Supervised Features Improve Training from Noisy Labels

Oct 18, 2021
Hao Cheng, Zhaowei Zhu, Xing Sun, Yang Liu

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A Good Representation Detects Noisy Labels

Oct 12, 2021
Zhaowei Zhu, Zihao Dong, Hao Cheng, Yang Liu

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The Rich Get Richer: Disparate Impact of Semi-Supervised Learning

Oct 12, 2021
Zhaowei Zhu, Tianyi Luo, Yang Liu

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Clusterability as an Alternative to Anchor Points When Learning with Noisy Labels

Feb 10, 2021
Zhaowei Zhu, Yiwen Song, Yang Liu

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Identification of 27 abnormalities from multi-lead ECG signals: An ensembled Se-ResNet framework with Sign Loss function

Jan 12, 2021
Zhaowei Zhu, Xiang Lan, Tingting Zhao, Yangming Guo, Pipin Kojodjojo, Zhuoyang Xu, Zhuo Liu, Siqi Liu, Han Wang, Xingzhi Sun, Mengling Feng

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A Second-Order Approach to Learning with Instance-Dependent Label Noise

Dec 22, 2020
Zhaowei Zhu, Tongliang Liu, Yang Liu

* Learning with label noise 

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Federated Bandit: A Gossiping Approach

Oct 24, 2020
Zhaowei Zhu, Jingxuan Zhu, Ji Liu, Yang Liu

* 31 pages, 1 figure 

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Learning with Instance-Dependent Label Noise: A Sample Sieve Approach

Oct 05, 2020
Hao Cheng, Zhaowei Zhu, Xingyu Li, Yifei Gong, Xing Sun, Yang Liu

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Policy Learning Using Weak Supervision

Oct 05, 2020
Jingkang Wang, Hongyi Guo, Zhaowei Zhu, Yang Liu

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Online optimal task offloading with one-bit feedback

Jul 02, 2018
Shangshu Zhao, Zhaowei Zhu, Fuqian Yang, Xiliang Luo

* We have submitted this paper to GlobalSIP 2018 on Jun. 29th 

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Learn and Pick Right Nodes to Offload

Apr 24, 2018
Zhaowei Zhu, Ting Liu, Shengda Jin, Xiliang Luo

* 8 pages, 4 figures 

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