Redundancy Reduction
Redundancy Reduction is a computational method that belongs to the class of content optimization techniques, distinguished by its specific function of minimizing repetitive or duplicative elements in generated outputs while preserving informational completeness and relevance within recommendation, error correction, pattern evaluation, and text summarization systems.
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26K
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729
Authors
303
Institutions
Publications per year
2017–2026
69
245
Barlow Twins: Self-Supervised Learning via Redundancy Reduction
Jure Žbontar, Jing Li, Ishan Misra et al. · arXiv (Cornell University) · 2021 · 779 citations · Full text
Redundancy reduction revisited
H. B. Barlow · Network Computation in Neural Systems · 2001 · 605 citations
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303

Centre National de la Recherche Scientifique
Paris, France
10 h-index
28 publications
1.7K citations

Universidad Autónoma de Madrid
Madrid, Spain
5 h-index
5 publications
481 citations
Siemens (Germany)
Munich, Germany
5 h-index
9 publications
218 citations
New York University
New York, United States
4 h-index
5 publications
1.2K citations

Peking University
Beijing, China
4 h-index
10 publications
1.6K citations
Université Paris Cité
Paris, France
4 h-index
6 publications
489 citations
Hewlett-Packard (United States)
Palo Alto, United States
4 h-index
4 publications
131 citations

Swansea University
Swansea, United Kingdom
3 h-index
4 publications
293 citations
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10 publications · 10.4K citations
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Repository · 9 publications · 1.4K citations
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8 publications · 1.2K citations
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6 publications · 2K citations
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5 publications · 164 citations
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