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cs.LG2024
PAODING: A High-fidelity Data-free Pruning Toolkit for Debloating Pre-trained Neural Networks
Mark Huasong Meng, Hao Guan, Liuhuo Wan +3
We present PAODING, a toolkit to debloat pretrained neural network models through the lens of data-free pruning. To preserve the model fidelity, PAODING adopts an iterative process…
cs.LG2022★ 2 cited
Supervised Robustness-preserving Data-free Neural Network Pruning
Mark Huasong Meng, Guangdong Bai, Sin Gee Teo +1
When deploying pre-trained neural network models in real-world applications, model consumers often encounter resource-constraint platforms such as mobile and smart devices. They ty…