Correntropy meets cross-entropy: A robust loss against noisy labels
Jiangxi University of Technology · Chengdu University · +4 more institutions
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Abstract
No abstract available for this paper.
Citation impact
5
total citations
- FWCI
- 160.11
- Percentile
- 100%
- References
- 31
Too recent for citation history.
Authors
7- NZNan Zhou
Jiangxi University of Technology, Chengdu University
- QDQing Deng
Chengdu University of Information Technology
- WLWenjun LuoCorresponding
Chengdu University of Information Technology
- XHXiuyu Huang
Motion Control (United States)
- YDYuanhua DuCorresponding
Chengdu University of Information Technology
Topics & keywords
Topics
Keywords
- Robustness (evolution)
- Categorical variable
- Noisy data
- Noise (video)
- Function (biology)
- Pattern recognition (psychology)
- Deep learning
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