4 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.LG2022★ 4 cited
Enabling Deep Learning on Edge Devices through Filter Pruning and Knowledge Transfer
Kaiqi Zhao, Yitao Chen, Ming Zhao
Deep learning models have introduced various intelligent applications to edge devices, such as image classification, speech recognition, and augmented reality. There is an increasi…
cs.LG2022
Iterative Activation-based Structured Pruning
Kaiqi Zhao, Animesh Jain, Ming Zhao
Deploying complex deep learning models on edge devices is challenging because they have substantial compute and memory resource requirements, whereas edge devices' resource budget…