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Maximum output discrepancy computation for convolutional neural network compression
Zihao Mo,
Weiming Xiang
Computer Science
Research output
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Contribution to journal
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Article
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peer-review
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Dive into the research topics of 'Maximum output discrepancy computation for convolutional neural network compression'. Together they form a unique fingerprint.
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Mathematics
Compression
84%
Discrepancy
83%
Neural Networks
78%
Output
62%
Network Performance
19%
Reachability Analysis
17%
Pooling
15%
Safety
13%
Reachability
12%
Training
12%
Experimental Data
12%
Correctness
11%
Quantization
11%
Convolution
9%
Minimise
9%
Experiment
8%
Costs
8%
Numerical Examples
7%
Model
3%
Business & Economics
Neural Networks
100%
Compression
96%
Discrepancy
79%
Quantization
17%
Convolution
16%
Pooling
13%
Incidents
11%
Assurance
11%
Safety
10%
Experiment
7%
Performance
4%
Costs
4%
Engineering & Materials Science
Convolutional neural networks
75%
Neural networks
33%
Convolution
27%
Network performance
26%
Concretes
18%
Costs
10%
Experiments
9%