Feature Learning
Feature Learning is a machine learning methodology that automatically discovers the optimal representations of raw data by identifying and constructing task-relevant features without relying on hand-engineered descriptors.
3.7K
Publications
331.3K
Citations
11.3K
Authors
2.4K
Institutions
Publications per year
2017–2026
2.8K
3.7K
Pattern Recognition and Machine Learning
Journal of Electronic Imaging · 2007 · 22.1K citations
Aditya Grover, Jure Leskovec · 2016 · 10.9K citations
Pattern Recognition and Machine Learning
Kybernetes · 2007 · 8.4K citations
Pattern Recognition and Machine Learning
Radford M. Neal · Technometrics · 2007 · 4.7K citations
Reading digits in natural images with unsupervised feature learning
Yuval Netzer · 2024 · 4.6K citations · Full text
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Chinese Academy of Sciences
Beijing, China
52 h-index
342 publications
30.1K citations
Tsinghua University
Beijing, China
44 h-index
185 publications
29.9K citations
University of Chinese Academy of Sciences
Beijing, China
37 h-index
192 publications
15.9K citations

Northwestern Polytechnical University
Xi'an, China
37 h-index
167 publications
15.7K citations
University of Science and Technology of China
Hefei, China
33 h-index
144 publications
13.5K citations
Nanjing University of Science and Technology
Nanjing, China
32 h-index
92 publications
10.3K citations

Xidian University
Xi'an, China
31 h-index
187 publications
14.1K citations

Shanghai Jiao Tong University
Shanghai, China
30 h-index
124 publications
6.5K citations
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184 publications · 13K citations
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Repository · 231 publications · 17.9K citations
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72 publications · 7.5K citations
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61 publications · 5.9K citations
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60 publications · 6.1K citations
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