Going Beyond Classification Accuracy Metrics in Model Compression

3 December 2020

Papers citing "Going Beyond Classification Accuracy Metrics in Model Compression"

7 / 7 papers shown

Title
Report of the DOE/NSF Workshop on Correctness in Scientific Computing, June 2023, Orlando, FL Maya Gokhale Ganesh Gopalakrishnan Jackson Mayo Santosh Nagarakatte Cindy Rubio-González Stephen F. Siegel 26 3 0 25 Dec 2023
Understanding the Effect of the Long Tail on Neural Network Compression Harvey Dam Vinu Joseph Aditya Bhaskara G. Gopalakrishna Saurav Muralidharan M. Garland 8 2 0 09 Jun 2023
A Fair Loss Function for Network Pruning Robbie Meyer Alexander Wong CVBM 19 3 0 18 Nov 2022
Recall Distortion in Neural Network Pruning and the Undecayed Pruning Algorithm Aidan Good Jia-Huei Lin Hannah Sieg Mikey Ferguson Xin Yu Shandian Zhe J. Wieczorek Thiago Serra 14 11 0 07 Jun 2022
Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression Yawei Li Shuhang Gu Christoph Mayer Luc Van Gool Radu Timofte 123 189 0 19 Mar 2020
Comparing Rewinding and Fine-tuning in Neural Network Pruning Alex Renda Jonathan Frankle Michael Carbin 222 382 0 05 Mar 2020
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 261 10,196 0 16 Nov 2016