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Distributionally Invariant Learning: Rationalization and Practical Algorithms


Jun 07, 2022
Jiashuo Liu, Jiayun Wu, Jie Peng, Zheyan Shen, Bo Li, Peng Cui


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Towards Domain Generalization in Object Detection


Mar 27, 2022
Xingxuan Zhang, Zekai Xu, Renzhe Xu, Jiashuo Liu, Peng Cui, Weitao Wan, Chong Sun, Chen Li


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Kernelized Heterogeneous Risk Minimization


Oct 24, 2021
Jiashuo Liu, Zheyuan Hu, Peng Cui, Bo Li, Zheyan Shen

* 35th Conference on Neural Information Processing Systems (NeurIPS 2021), Sydney, Australia. arXiv admin note: text overlap with arXiv:2105.03818 

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Towards Out-Of-Distribution Generalization: A Survey


Aug 31, 2021
Zheyan Shen, Jiashuo Liu, Yue He, Xingxuan Zhang, Renzhe Xu, Han Yu, Peng Cui


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Distributionally Robust Learning with Stable Adversarial Training


Jun 30, 2021
Jiashuo Liu, Zheyan Shen, Peng Cui, Linjun Zhou, Kun Kuang, Bo Li

* arXiv admin note: substantial text overlap with arXiv:2006.04414 

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Heterogeneous Risk Minimization


May 09, 2021
Jiashuo Liu, Zheyuan Hu, Peng Cui, Bo Li, Zheyan Shen

* Proceedings of the 38th International Conference on Machine Learning, PMLR 139, 2021. (ICML2021) 

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Invariant Adversarial Learning for Distributional Robustness


Jun 08, 2020
Jiashuo Liu, Zheyan Shen, Peng Cui, Linjun Zhou, Kun Kuang, Bo Li, Yishi Lin

* 11 pages 

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Triple Generative Adversarial Networks


Dec 20, 2019
Chongxuan Li, Kun Xu, Jiashuo Liu, Jun Zhu, Bo Zhang


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