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No Free Prune: Information-Theoretic Barriers to Pruning at
  Initialization

No Free Prune: Information-Theoretic Barriers to Pruning at Initialization

2 February 2024
Tanishq Kumar
Kevin Luo
Mark Sellke
ArXivPDFHTML

Papers citing "No Free Prune: Information-Theoretic Barriers to Pruning at Initialization"

5 / 5 papers shown
Title
Sign-In to the Lottery: Reparameterizing Sparse Training From Scratch
Sign-In to the Lottery: Reparameterizing Sparse Training From Scratch
Advait Gadhikar
Tom Jacobs
Chao Zhou
R. Burkholz
27
0
0
17 Apr 2025
Fishing For Cheap And Efficient Pruners At Initialization
Fishing For Cheap And Efficient Pruners At Initialization
Ivo Gollini Navarrete
Nicolas Mauricio Cuadrado
Jose Renato Restom
Martin Takáč
Samuel Horvath
34
0
0
17 Feb 2025
The Lottery Ticket Hypothesis for Pre-trained BERT Networks
The Lottery Ticket Hypothesis for Pre-trained BERT Networks
Tianlong Chen
Jonathan Frankle
Shiyu Chang
Sijia Liu
Yang Zhang
Zhangyang Wang
Michael Carbin
148
345
0
23 Jul 2020
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
1,018
0
06 Mar 2020
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
244
35,884
0
25 Aug 2016
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