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Qing Deng

Chengdu University of Information Technology

No.24 Block 1, Xuefu Road, Chengdu, China

Chengdu, 610225

China

  • Chengdu University of Information Technology

SCHOLARLY PAPERS

2

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205

TOTAL CITATIONS

1

Scholarly Papers (2)

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1.

Correntropy Meets Cross-Entropy: A Robust Loss Against Noisy Labels

Downloads 149 (508,926)
Citation 1

Correntropy Meets Cross-Entropy: A Robust Loss Against Noisy Labels

Number of pages: 14 Posted: 24 Jun 2024
Qing Deng, Xiuyu Huang, Wenjun Luo, Yuanhua Du, Nan Zhou, Kaibo Shi and Badong Chen
Chengdu University of Information Technology, Harvard University - Harvard Medical School, Chengdu University of Information Technology, Chengdu University of Information Technology, Chengdu University, Chengdu University and Xi'an Jiaotong University (XJTU)
Downloads 56 (1,017,159)

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correntropy, noisy labels, noise-tolerant

Correntropy Meets Cross-Entropy: A Robust Loss Against Noisy Labels

Number of pages: 22 Posted: 09 Sep 2024
Nan Zhou, Qing Deng, Xiuyu Huang, Wenjun Luo, Yuanhua Du and Badong Chen
Chengdu University, Chengdu University of Information Technology, Harvard University - Harvard Medical School, Chengdu University of Information Technology, Chengdu University of Information Technology and Xi'an Jiaotong University (XJTU)
Downloads 47 (1,119,531)

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correntropy, noisy labels, robust label loss, deep neural network

Correntropy Meets Cross-Entropy: A Robust Loss Against Noisy Labels

Number of pages: 20 Posted: 16 Aug 2025
Nan Zhou, Qing Deng, Wenjun Luo, Xiuyu Huang, Yuanhua Du, Badong Chen and Witold Pedrycz
Chengdu University, Chengdu University of Information Technology, Chengdu University of Information Technology, Harvard University - Harvard Medical School, Chengdu University of Information Technology, Xi'an Jiaotong University (XJTU) and University of Alberta
Downloads 46 (1,183,247)
Citation 1

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Robust loss, noisy labels, noise-tolerant, deep neural network

2.

Correntropy Based Label Loss for Multi-Classifiation on Deep Neural Networks

Number of pages: 27 Posted: 27 Sep 2024
Qing Deng, Wenjun Luo, Yuanhua Du, Nan Zhou, Kaibo Shi and Badong Chen
Chengdu University of Information Technology, Chengdu University of Information Technology, Chengdu University of Information Technology, Chengdu University, Chengdu University and Xi'an Jiaotong University (XJTU)
Downloads 56 (1,010,164)

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Noisy label learning, correntropy, deep learning, robust loss