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Xuefeng Du

Non-Parametric Outlier Synthesis

Mar 06, 2023
Leitian Tao, Xuefeng Du, Xiaojin Zhu, Yixuan Li

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* ICLR 2023

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OpenOOD: Benchmarking Generalized Out-of-Distribution Detection

Oct 13, 2022
Jingkang Yang, Pengyun Wang, Dejian Zou, Zitang Zhou, Kunyuan Ding, Wenxuan Peng, Haoqi Wang, Guangyao Chen, Bo Li, Yiyou Sun, Xuefeng Du, Kaiyang Zhou, Wayne Zhang, Dan Hendrycks, Yixuan Li, Ziwei Liu

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* Accepted by NeurIPS 2022 Datasets and Benchmarks Track. Codebase: https://github.com/Jingkang50/OpenOOD

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VOS: Learning What You Don't Know by Virtual Outlier Synthesis

Feb 04, 2022
Xuefeng Du, Zhaoning Wang, Mu Cai, Yixuan Li

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* ICLR 2022

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PI-GNN: A Novel Perspective on Semi-Supervised Node Classification against Noisy Labels

Jun 14, 2021
Xuefeng Du, Tian Bian, Yu Rong, Bo Han, Tongliang Liu, Tingyang Xu, Wenbing Huang, Junzhou Huang

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* 16 pages, 3 figures

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Learning Diverse-Structured Networks for Adversarial Robustness

Feb 08, 2021
Xuefeng Du, Jingfeng Zhang, Bo Han, Tongliang Liu, Yu Rong, Gang Niu, Junzhou Huang, Masashi Sugiyama

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* 26 pages, 8 figures

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Small-Group Learning, with Application to Neural Architecture Search

Dec 23, 2020
Xuefeng Du, Pengtao Xie

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* arXiv admin note: substantial text overlap with arXiv:2011.15102, arXiv:2012.04863

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Skillearn: Machine Learning Inspired by Humans' Learning Skills

Dec 09, 2020
Pengtao Xie, Xuefeng Du, Hao Ban

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* arXiv admin note: substantial text overlap with arXiv:2011.15102

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