Activation Annealing
Activation Annealing is a computational optimization technique in machine learning that belongs to the class of annealing methods, distinguished by its systematic adjustment of neuron activation states to escape local minima during model training.
27
Publications
802
Citations
156
Authors
49
Institutions
Publications per year
2017–2026
6
Parents
27
Si-implantation activation annealing of GaN up to 1400°C
J.C. Zolper, Jung Han, R. M. Biefeld et al. · Journal of Electronic Materials · 1998 · 46 citations
1–5 of 27
156
2
h-index
Korea Advanced Institute of Science and Technology, South Korea
2 publications · 46 citations
2
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2
h-index
Toyota Central Research and Development Laboratories (Japan), Japan
2 publications · 59 citations
2
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2
h-index
1–5 of 156
49
Hitachi (Japan)
Tokyo, Japan
3 h-index
9 publications
154 citations
Electronics and Telecommunications Research Institute
Daejeon, South Korea
2 h-index
14 publications
322 citations
CEA Grenoble
Grenoble, France
2 h-index
9 publications
156 citations

Australian National University
Canberra, Australia
2 h-index
6 publications
200 citations
Commissariat à l'Énergie Atomique et aux Énergies Alternatives
Paris, France
2 h-index
13 publications
236 citations
Laboratoire d'Électronique des Technologies de l'Information
Grenoble, France
2 h-index
9 publications
156 citations

National Institute of Advanced Industrial Science and Technology
Tsukuba, Japan
2 h-index
7 publications
142 citations
University of Florida
Gainesville, United States
2 h-index
6 publications
206 citations
1–8 of 49
5 publications · 166 citations
5
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JJAP · 3 publications · 42 citations
3
h-index
3 publications · 75 citations
3
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3 publications · 177 citations
3
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2 publications · 46 citations
2
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1–5