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Seokjin Go

1 accepted papers

2024

DEPrune: Depth-wise Separable Convolution Pruning for Maximizing GPU Parallelism

NeurIPS 2024poster

Depth-wise Separable Convolution (DSConv) has a powerful representation even with fewer parameters and computation, leading to its adoption by almost all of the state-of-the-art CNN models. DSConv models are already compact making it hard to apply pruning, and there are few previous pruning techni…

Cited by 0SourcePDFScholar