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Found 3 papers, 1 papers with code
Network Decoupling: From Regular to Depthwise Separable Convolutions
Depthwise separable convolution has shown great efficiency in network design, but requires time-consuming training procedure with full training-set available.
Connecting Software Metrics across Versions to Predict Defects
Accurate software defect prediction could help software practitioners allocate test resources to defect-prone modules effectively and efficiently.
Generative Adversarial Mapping Networks
They fit generative models by minimizing certain distance measure between the real image distribution and the generated data distribution.
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