Zeroth-Order Topological Insights into Iterative Magnitude Pruning

14 June 2022

Papers citing "Zeroth-Order Topological Insights into Iterative Magnitude Pruning"

6 / 6 papers shown

Title
Iterative Magnitude Pruning as a Renormalisation Group: A Study in The Context of The Lottery Ticket Hypothesis Abu-Al Hassan 22 0 0 06 Aug 2023
Addressing caveats of neural persistence with deep graph persistence Leander Girrbach Anders Christensen Ole Winther Zeynep Akata A. Sophia Koepke GNN 16 1 0 20 Jul 2023
A Unified Paths Perspective for Pruning at Initialization Thomas Gebhart Udit Saxena Paul Schrater 25 14 0 26 Jan 2021
What is the State of Neural Network Pruning? Davis W. Blalock Jose Javier Gonzalez Ortiz Jonathan Frankle John Guttag 178 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
Statistical topological data analysis using persistence landscapes Peter Bubenik 94 845 0 27 Jul 2012