Precision Loss is the degradation in the accuracy of abstract values computed during program analysis due to over-approximation, distinguishing it from other sources of imprecision by arising specifically from the inherent incompleteness of the abstraction mapping.
75
Publications
3.3K
Citations
231
Authors
101
Institutions
Publications per year
2017–2026
48
Parents
Publications
75
NVIDIA Tensor Core Programmability, Performance & Precision
2018 · 326 citations · Full text
Demand-driven points-to analysis for Java
Manu Sridharan, Denis Gopan, Lexin Shan et al. · 2005 · 198 citations
Towards Accurate One-Stage Object Detection With AP-Loss
Kean Chen, Jianguo Li, Weiyao Lin et al. · 2019 · 135 citations
1–5 of 75
Authors
231
- WL
3
h-index
- JZ
3
h-index
- JS
3
h-index
- KC
3
h-index
- ML
3
h-index
1–5 of 231
Institutions
101
Shanghai Jiao Tong University
Shanghai, China
4 h-index
12 publications
1K citations
Stanford University
Stanford, United States
4 h-index
12 publications
769 citations
Chinese Academy of Sciences
Beijing, China
4 h-index
8 publications
290 citations
Shandong University
Jinan, China
3 h-index
9 publications
269 citations
Massachusetts Institute of Technology
Cambridge, United States
3 h-index
9 publications
462 citations
University of California, Berkeley
Berkeley, United States
3 h-index
7 publications
728 citations
Tencent (China)
Shenzhen, China
3 h-index
5 publications
594 citations
Beijing University of Technology
Beijing, China
3 h-index
7 publications
163 citations
1–8 of 101
Venues
- Proceedings of the ACM on Programming Languages
PACMPL · 3 publications · 105 citations
3
h-index
- IEEE Access
3 publications · 53 citations
3
h-index
- Analytical Chemistry
2 publications · 36 citations
2
h-index
- ACM SIGPLAN Notices
2 publications · 99 citations
2
h-index
- Mechanical Systems and Signal Processing
MSSP · 1 publications · 50 citations
1
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1–5