When to Prune? A Policy towards Early Structural Pruning

22 October 2021

Papers citing "When to Prune? A Policy towards Early Structural Pruning"

5 / 5 papers shown

Title
Advancing Weight and Channel Sparsification with Enhanced Saliency Xinglong Sun Maying Shen Hongxu Yin Lei Mao Pavlo Molchanov Jose M. Alvarez 48 1 0 05 Feb 2025
Combining Relevance and Magnitude for Resource-Aware DNN Pruning C. Chiasserini F. Malandrino Nuria Molner Zhiqiang Zhao 32 0 0 21 May 2024
Solving Oscillation Problem in Post-Training Quantization Through a Theoretical Perspective Yuexiao Ma Huixia Li Xiawu Zheng Xuefeng Xiao Rui Wang Shilei Wen Xin Pan Fei Chao Rongrong Ji MQ 15 12 0 21 Mar 2023
What Matters In The Structured Pruning of Generative Language Models? Michael Santacroce Zixin Wen Yelong Shen Yuan-Fang Li 21 32 0 07 Feb 2023
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 950 20,567 0 17 Apr 2017