Studying the Plasticity in Deep Convolutional Neural Networks using
Random Pruning

Studying the Plasticity in Deep Convolutional Neural Networks using Random Pruning

26 December 2018

Mitesh M. Khapra

Balaraman Ravindran

Papers citing "Studying the Plasticity in Deep Convolutional Neural Networks using Random Pruning"

4 / 4 papers shown

Title
Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity Lu Yin You Wu Zhenyu (Allen) Zhang Cheng-Yu Hsieh Yaqing Wang ... Mykola Pechenizkiy Yi Liang Michael Bendersky Zhangyang Wang Shiwei Liu 28 78 0 08 Oct 2023
Sparsity May Cry: Let Us Fail (Current) Sparse Neural Networks Together! Shiwei Liu Tianlong Chen Zhenyu (Allen) Zhang Xuxi Chen Tianjin Huang Ajay Jaiswal Zhangyang Wang 32 29 0 03 Mar 2023
Complexity-Driven CNN Compression for Resource-constrained Edge AI Muhammad Zawish Steven Davy L. Abraham 33 16 0 26 Aug 2022
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights Aojun Zhou Anbang Yao Yiwen Guo Lin Xu Yurong Chen MQ 322 1,049 0 10 Feb 2017