Large-scale Classification
Large-Scale Classification is a machine learning task that involves assigning categorical labels to a vast number of instances or classes, distinguished by its computational and algorithmic challenges arising from the high dimensionality, massive volume, or both, of the data involved.
619
Publications
70.5K
Citations
2K
Authors
673
Institutions
Publications per year
2017–2026
314
Parents
619
LIBLINEAR: A Library for Large Linear Classification
Rong-En Fan, Kai‐Wei Chang, Cho‐Jui Hsieh et al. · 2008 · 6.6K citations
Large-Scale Video Classification with Convolutional Neural Networks
Andrej Karpathy, George Toderici, Sanketh Shetty et al. · 2014 · 6.3K citations
An efficient algorithm for large-scale detection of protein families
Anton J. Enright · Nucleic Acids Research · 2002 · 3.8K citations · Full text
Random Features for Large-Scale Kernel Machines
Ali Rahimi, Benjamin Recht · 2007 · 2.7K citations
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673
Carnegie Mellon University
Pittsburgh, United States
17 h-index
33 publications
5.3K citations
Google (United States)
Mountain View, United States
16 h-index
48 publications
41.6K citations

Chinese Academy of Sciences
Beijing, China
14 h-index
42 publications
2.1K citations
Microsoft (United States)
Redmond, United States
13 h-index
30 publications
3.4K citations

Shanghai Jiao Tong University
Shanghai, China
13 h-index
33 publications
1.3K citations
Nanyang Technological University
Singapore, Singapore
12 h-index
31 publications
3.1K citations
Fudan University
Shanghai, China
10 h-index
35 publications
4.4K citations

Cornell University
Ithaca, United States
10 h-index
21 publications
2.7K citations
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Repository · 70 publications · 4.9K citations
27
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13 publications · 581 citations
13
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TPAMI · 12 publications · 1.9K citations
12
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12 publications · 1K citations
12
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Conference · 8 publications · 260 citations
8
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