Incheon Cho

G-SHARP: Globally Shared Kernel with Pruning for Efficient CNNs

Filter Decomposition (FD) methods have gained traction in compressing large neural networks by dividing weights into basis and coefficients. Recent advancements have focused on reducing weight redundancy by sharing either basis or coefficients stage-wise. However, traditional sharing approaches have…