Reconstruction Loss
Reconstruction Loss is a type of loss function used in machine learning that quantifies the discrepancy between the original input data and its reconstructed version, typically in models designed for dimensionality reduction or generative tasks, to enforce fidelity in the reproduction of data.
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1.8K
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2017–2026
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Improved Deep Embedded Clustering with Local Structure Preservation
Xifeng Guo, Long Gao, Xinwang Liu et al. · 2017 · 900 citations · Full text
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University of Chinese Academy of Sciences
Beijing, China
15 h-index
45 publications
2.6K citations

Xidian University
Xi'an, China
13 h-index
39 publications
2.7K citations
Tsinghua University
Beijing, China
13 h-index
32 publications
1.4K citations
Tencent (China)
Shenzhen, China
12 h-index
25 publications
2.2K citations

Chinese Academy of Sciences
Beijing, China
12 h-index
34 publications
3.3K citations
University of Science and Technology of China
Hefei, China
10 h-index
26 publications
1.4K citations

Harbin Institute of Technology
Harbin, China
10 h-index
21 publications
814 citations

Sun Yat-sen University
Guangzhou, China
9 h-index
20 publications
1.4K citations
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Repository · 67 publications · 3.9K citations
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Conference · 14 publications · 890 citations
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14 publications · 863 citations
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