Supervised Robustness-preserving Data-free Neural Network Pruning

Supervised Robustness-preserving Data-free Neural Network Pruning

2 April 2022

Mark Huasong Meng

Papers citing "Supervised Robustness-preserving Data-free Neural Network Pruning"

7 / 7 papers shown

Title
PAODING: A High-fidelity Data-free Pruning Toolkit for Debloating Pre-trained Neural Networks Mark Huasong Meng Hao Guan Liuhuo Wan Sin Gee Teo Guangdong Bai Jin Song Dong MU 23 0 0 30 Apr 2024
MLP-Mixer: An all-MLP Architecture for Vision Ilya O. Tolstikhin N. Houlsby Alexander Kolesnikov Lucas Beyer Xiaohua Zhai ... Andreas Steiner Daniel Keysers Jakob Uszkoreit Mario Lucic Alexey Dosovitskiy 271 2,603 0 04 May 2021
DeepPayload: Black-box Backdoor Attack on Deep Learning Models through Neural Payload Injection Yuanchun Li Jiayi Hua Haoyu Wang Chunyang Chen Yunxin Liu FedML SILM 86 75 0 18 Jan 2021
SCOP: Scientific Control for Reliable Neural Network Pruning Yehui Tang Yunhe Wang Yixing Xu Dacheng Tao Chunjing Xu Chao Xu Chang Xu AAML 50 166 0 21 Oct 2020
What is the State of Neural Network Pruning? Davis W. Blalock Jose Javier Gonzalez Ortiz Jonathan Frankle John Guttag 191 1,027 0 06 Mar 2020
Comparing Rewinding and Fine-tuning in Neural Network Pruning Alex Renda Jonathan Frankle Michael Carbin 224 383 0 05 Mar 2020
Universal Deep Neural Network Compression Yoojin Choi Mostafa El-Khamy Jungwon Lee MQ 83 85 0 07 Feb 2018