Dynamic Quantization
Dynamic Quantization is a quantization method that dynamically determines the scaling and shifting parameters for weight and activation tensors during inference, distinguishing itself from static quantization approaches by adapting these parameters to the input data distribution on a per-layer or per-tensor basis.
161
Publications
6.9K
Citations
407
Authors
196
Institutions
Publications per year
2017–2026
75
Parents
161
Optimal dynamic quantizers for discrete-valued input control
Shun‐ichi Azuma, Toshiharu Sugie · Automatica · 2007 · 170 citations
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196

Kyoto University
Kyoto, Japan
8 h-index
18 publications
935 citations
Wuhan University of Science and Technology
Wuhan, China
8 h-index
17 publications
897 citations

Brunel University of London
London, United Kingdom
6 h-index
7 publications
575 citations
Nanyang Technological University
Singapore, Singapore
6 h-index
8 publications
383 citations
North China Institute of Aerospace Engineering
Langfang, China
4 h-index
4 publications
189 citations
Dalian University of Technology
Dalian, China
4 h-index
10 publications
543 citations

Northeastern University
Shenyang, China
4 h-index
4 publications
290 citations
Tsinghua University
Beijing, China
4 h-index
15 publications
677 citations
1–8 of 196
16 publications · 1.2K citations
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IJRCEA · 5 publications · 256 citations
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4 publications · 361 citations
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4 publications · 128 citations
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4 publications · 134 citations
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