Pruning via Iterative Ranking of Sensitivity Statistics

Pruning via Iterative Ranking of Sensitivity Statistics

1 June 2020

Stijn Verdenius

Papers citing "Pruning via Iterative Ranking of Sensitivity Statistics"

10 / 10 papers shown

Title
Pushing the Limits of Sparsity: A Bag of Tricks for Extreme Pruning Andy Li A. Durrant Milan Markovic Lu Yin Georgios Leontidis Tianlong Chen Lu Yin Georgios Leontidis 75 0 0 20 Nov 2024
On the Robustness and Anomaly Detection of Sparse Neural Networks Morgane Ayle Bertrand Charpentier John Rachwan Daniel Zügner Simon Geisler Stephan Günnemann AAML 52 3 0 09 Jul 2022
Convolutional and Residual Networks Provably Contain Lottery Tickets R. Burkholz UQCV MLT 35 13 0 04 May 2022
Most Activation Functions Can Win the Lottery Without Excessive Depth R. Burkholz MLT 63 18 0 04 May 2022
LilNetX: Lightweight Networks with EXtreme Model Compression and Structured Sparsification Sharath Girish Kamal Gupta Saurabh Singh Abhinav Shrivastava 28 11 0 06 Apr 2022
RGP: Neural Network Pruning through Its Regular Graph Structure Zhuangzhi Chen Jingyang Xiang Yao Lu Qi Xuan Xiaoniu Yang 23 1 0 28 Oct 2021
Lottery Tickets with Nonzero Biases Jonas Fischer Advait Gadhikar R. Burkholz 8 6 0 21 Oct 2021
Sparse Training via Boosting Pruning Plasticity with Neuroregeneration Shiwei Liu Tianlong Chen Xiaohan Chen Zahra Atashgahi Lu Yin Huanyu Kou Li Shen Mykola Pechenizkiy Zhangyang Wang D. Mocanu 34 111 0 19 Jun 2021
Sparse Linear Networks with a Fixed Butterfly Structure: Theory and Practice Nir Ailon Omer Leibovitch Vineet Nair 13 14 0 17 Jul 2020
Progressive Skeletonization: Trimming more fat from a network at initialization Pau de Jorge Amartya Sanyal Harkirat Singh Behl Philip H. S. Torr Grégory Rogez P. Dokania 21 95 0 16 Jun 2020