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cs.LG2023★ 1 cited
A Contrastive Knowledge Transfer Framework for Model Compression and Transfer Learning
Kaiqi Zhao, Yitao Chen, Ming Zhao
Knowledge Transfer (KT) achieves competitive performance and is widely used for image classification tasks in model compression and transfer learning. Existing KT works transfer th…
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…