SCOP: Scientific Control for Reliable Neural Network Pruning

21 October 2020

Papers citing "SCOP: Scientific Control for Reliable Neural Network Pruning"

7 / 7 papers shown

Title
Advancing Weight and Channel Sparsification with Enhanced Saliency Xinglong Sun Maying Shen Hongxu Yin Lei Mao Pavlo Molchanov Jose M. Alvarez 38 1 0 05 Feb 2025
Playing the Lottery With Concave Regularizers for Sparse Trainable Neural Networks Giulia Fracastoro Sophie M. Fosson Andrea Migliorati G. Calafiore 33 1 0 19 Jan 2025
LPViT: Low-Power Semi-structured Pruning for Vision Transformers Kaixin Xu Zhe Wang Chunyun Chen Xue Geng Jie Lin Xulei Yang Min-man Wu Min Wu Xiaoli Li Weisi Lin ViT VLM 32 4 0 02 Jul 2024
ExCP: Extreme LLM Checkpoint Compression via Weight-Momentum Joint Shrinking Wenshuo Li Xinghao Chen Han Shu Yehui Tang Yunhe Wang MQ 18 2 0 17 Jun 2024
Performance-aware Approximation of Global Channel Pruning for Multitask CNNs Hancheng Ye Bo-Wen Zhang Tao Chen Jiayuan Fan Bin Wang 10 18 0 21 Mar 2023
GhostSR: Learning Ghost Features for Efficient Image Super-Resolution Ying Nie Kai Han Zhenhua Liu Chunjing Xu Yunhe Wang OOD 24 22 0 21 Jan 2021
ReNAS:Relativistic Evaluation of Neural Architecture Search Yixing Xu Yunhe Wang Avishkar Bhoopchand Christopher Mattern A. Grabska-Barwinska Chunjing Xu Chang Xu 17 81 0 30 Sep 2019