Curriculum Learning
Curriculum Learning is a machine learning training strategy that organizes data or tasks in a predetermined sequence of increasing complexity to improve model convergence and generalization by mimicking the pedagogical progression observed in human learning.
346
Publications
38.6K
Citations
1.3K
Authors
373
Institutions
Publications per year
2017–2026
302
346
A survey on Image Data Augmentation for Deep Learning
Connor Shorten, Taghi M. Khoshgoftaar · Journal Of Big Data · 2019 · 12.4K citations · Full text
Yoshua Bengio, Jérôme Louradour, Ronan Collobert et al. · 2009 · 5K citations · Full text
CurricularFace: Adaptive Curriculum Learning Loss for Deep Face Recognition
Yuge Huang, Yuhan Wang, Ying Tai et al. · 2020 · 560 citations
1–5 of 346
1.3K
7
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6
h-index
Institut national de recherche en sciences et technologies du numérique, France
5 publications · 317 citations
5
h-index
5
h-index
4
h-index
1–5 of 1.3K
373
Tsinghua University
Beijing, China
16 h-index
48 publications
4.4K citations

Chinese Academy of Sciences
Beijing, China
15 h-index
54 publications
2.9K citations
Tencent (China)
Shenzhen, China
10 h-index
31 publications
4.5K citations
University of Chinese Academy of Sciences
Beijing, China
10 h-index
22 publications
923 citations
Carnegie Mellon University
Pittsburgh, United States
9 h-index
26 publications
2.6K citations

Johns Hopkins University
Baltimore, United States
8 h-index
21 publications
1.1K citations
University of Oxford
Oxford, United Kingdom
7 h-index
18 publications
1.7K citations
The University of Texas at Austin
Austin, United States
7 h-index
18 publications
1.5K citations
1–8 of 373
Repository · 45 publications · 2.7K citations
27
h-index
Conference · 13 publications · 1.2K citations
13
h-index
5 publications · 282 citations
5
h-index
5 publications · 335 citations
5
h-index
4 publications · 112 citations
4
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1–5