3 papers
cs.LG2024
AGMixup: Adaptive Graph Mixup for Semi-supervised Node Classification
Weigang Lu, Ziyu Guan, Wei Zhao +4
Mixup is a data augmentation technique that enhances model generalization by interpolating between data points using a mixing ratio in the image domain. Recently, the concept o…
cs.CV2022
Entropy Induced Pruning Framework for Convolutional Neural Networks
Yiheng Lu, Ziyu Guan, Yaming Yang +3
Structured pruning techniques have achieved great compression performance on convolutional neural networks for image classification task. However, the majority of existing methods…
cs.CV2022
SBPF: Sensitiveness Based Pruning Framework For Convolutional Neural Network On Image Classification
Yiheng Lu, Maoguo Gong, Wei Zhao +2
Pruning techniques are used comprehensively to compress convolutional neural networks (CNNs) on image classification. However, the majority of pruning methods require a well pre-tr…