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Confident magnitude-based neural network pruning

Confident magnitude-based neural network pruning

8 August 2024
Joaquin Alvarez
ArXivPDFHTML

Papers citing "Confident magnitude-based neural network pruning"

4 / 4 papers shown
Title
Fast yet Safe: Early-Exiting with Risk Control
Fast yet Safe: Early-Exiting with Risk Control
Metod Jazbec
Alexander Timans
Tin Hadvzi Veljković
K. Sakmann
Dan Zhang
C. A. Naesseth
Eric T. Nalisnick
33
5
0
31 May 2024
Learn then Test: Calibrating Predictive Algorithms to Achieve Risk
  Control
Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control
Anastasios Nikolas Angelopoulos
Stephen Bates
Emmanuel J. Candès
Michael I. Jordan
Lihua Lei
95
126
0
03 Oct 2021
What is the State of Neural Network Pruning?
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
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
232
75,445
0
18 May 2015
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