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Learning with Noisy Labels via Sparse Regularization


Jul 31, 2021
Xiong Zhou, Xianming Liu, Chenyang Wang, Deming Zhai, Junjun Jiang, Xiangyang Ji

* ICCV 2021 

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Asymmetric Loss Functions for Learning with Noisy Labels


Jun 06, 2021
Xiong Zhou, Xianming Liu, Junjun Jiang, Xin Gao, Xiangyang Ji

* ICML 2021 

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Exploiting Invariance in Training Deep Neural Networks


Mar 30, 2021
Chengxi Ye, Xiong Zhou, Tristan McKinney, Yanfeng Liu, Qinggang Zhou, Fedor Zhdanov


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Advances in Deep Learning for Hyperspectral Image Analysis--Addressing Challenges Arising in Practical Imaging Scenarios


Jul 16, 2020
Xiong Zhou, Saurabh Prasad

* Published as a chapter in Hyperspectral Image Analysis. Advances in Computer Vision and Pattern Recognition 

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Out-of-the-box channel pruned networks


Apr 30, 2020
Ragav Venkatesan, Gurumurthy Swaminathan, Xiong Zhou, Anna Luo

* Under review at ECCV 2020 

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FineText: Text Classification via Attention-based Language Model Fine-tuning


Oct 25, 2019
Yunzhe Tao, Saurabh Gupta, Satyapriya Krishna, Xiong Zhou, Orchid Majumder, Vineet Khare


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$d$-SNE: Domain Adaptation using Stochastic Neighborhood Embedding


May 29, 2019
Xiang Xu, Xiong Zhou, Ragav Venkatesan, Gurumurthy Swaminathan, Orchid Majumder

* Accepted as Oral at CVPR 2019 

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