Prune Responsibly

10 September 2020

Papers citing "Prune Responsibly"

11 / 11 papers shown

Title
OATS: Outlier-Aware Pruning Through Sparse and Low Rank Decomposition Stephen Zhang V. Papyan VLM 45 1 0 20 Sep 2024
Getting Away with More Network Pruning: From Sparsity to Geometry and Linear Regions Junyang Cai Khai-Nguyen Nguyen Nishant Shrestha Aidan Good Ruisen Tu Xin Yu Shandian Zhe Thiago Serra MLT 34 7 0 19 Jan 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 23 11 0 07 Jun 2022
Pruning has a disparate impact on model accuracy Cuong Tran Ferdinando Fioretto Jung-Eun Kim Rakshit Naidu 36 38 0 26 May 2022
The Combinatorial Brain Surgeon: Pruning Weights That Cancel One Another in Neural Networks Xin Yu Thiago Serra Srikumar Ramalingam Shandian Zhe 34 48 0 09 Mar 2022
Membership Inference Attacks and Defenses in Neural Network Pruning Xiaoyong Yuan Lan Zhang AAML 13 44 0 07 Feb 2022
The Effect of Model Compression on Fairness in Facial Expression Recognition Samuil Stoychev Hatice Gunes CVBM 24 19 0 05 Jan 2022
What is the State of Neural Network Pruning? Davis W. Blalock Jose Javier Gonzalez Ortiz Jonathan Frankle John Guttag 185 1,027 0 06 Mar 2020
Comparing Rewinding and Fine-tuning in Neural Network Pruning Alex Renda Jonathan Frankle Michael Carbin 222 382 0 05 Mar 2020
Improving fairness in machine learning systems: What do industry practitioners need? Kenneth Holstein Jennifer Wortman Vaughan Hal Daumé Miroslav Dudík Hanna M. Wallach FaML HAI 192 742 0 13 Dec 2018