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Relaxed Conditional Image Transfer for Semi-supervised Domain Adaptation

Jan 05, 2021
Qijun Luo, Zhili Liu, Lanqing Hong, Chongxuan Li, Kuo Yang, Liyuan Wang, Fengwei Zhou, Guilin Li, Zhenguo Li, Jun Zhu


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ORDisCo: Effective and Efficient Usage of Incremental Unlabeled Data for Semi-supervised Continual Learning

Jan 02, 2021
Liyuan Wang, Kuo Yang, Chongxuan Li, Lanqing Hong, Zhenguo Li, Jun Zhu


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MetaAugment: Sample-Aware Data Augmentation Policy Learning

Dec 22, 2020
Fengwei Zhou, Jiawei Li, Chuanlong Xie, Fei Chen, Lanqing Hong, Rui Sun, Zhenguo Li

* Accepted by AAAI2021 

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DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation

Dec 17, 2020
Haoyue Bai, Rui Sun, Lanqing Hong, Fengwei Zhou, Nanyang Ye, Han-Jia Ye, S. -H. Gary Chan, Zhenguo Li

* Accepted by AAAI2021 

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Variational (Gradient) Estimate of the Score Function in Energy-based Latent Variable Models

Nov 07, 2020
Fan Bao, Kun Xu, Chongxuan Li, Lanqing Hong, Jun Zhu, Bo Zhang


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VEGA: Towards an End-to-End Configurable AutoML Pipeline

Nov 05, 2020
Bochao Wang, Hang Xu, Jiajin Zhang, Chen Chen, Xiaozhi Fang, Ning Kang, Lanqing Hong, Wei Zhang, Yong Li, Zhicheng Liu, Zhenguo Li, Wenzhi Liu, Tong Zhang

* AutoML pipeline. Code is open-sourced at https://github.com/huawei-noah/vega 

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