Weight Sharing
Weight sharing is a computational mechanism in neural network architecture where the same set of parameters is applied across multiple locations or instances within a model to enforce translational invariance and reduce overall parameter complexity.
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2017–2026
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Adversarial Discriminative Domain Adaptation
Eric Tzeng, Judy Hoffman, Kate Saenko et al. · 2017 · 5K citations
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Centre National de la Recherche Scientifique
Paris, France
7 h-index
15 publications
229 citations
Tsinghua University
Beijing, China
6 h-index
12 publications
4K citations

Shanghai Jiao Tong University
Shanghai, China
6 h-index
11 publications
467 citations
Stanford University
Stanford, United States
5 h-index
10 publications
13.3K citations
Google (United States)
Mountain View, United States
4 h-index
22 publications
1.2K citations
Microsoft Research (United Kingdom)
Cambridge, United Kingdom
4 h-index
8 publications
727 citations
Institut des Nanotechnologies de Lyon
Villeurbanne, France
4 h-index
12 publications
201 citations
Laboratoire d'Informatique, de Robotique et de Microélectronique de Montpellier
Montpellier, France
4 h-index
4 publications
67 citations
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Repository · 49 publications · 7.3K citations
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TPAMI · 4 publications · 251 citations
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4 publications · 318 citations
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3 publications · 192 citations
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3 publications · 788 citations
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