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Triangular Dropout: Variable Network Width without Retraining

Triangular Dropout: Variable Network Width without Retraining

2 May 2022
Edward W. Staley
Jared Markowitz
ArXivPDFHTML

Papers citing "Triangular Dropout: Variable Network Width without Retraining"

4 / 4 papers shown
Title
Distributional Principal Autoencoders
Distributional Principal Autoencoders
Xinwei Shen
N. Meinshausen
21
2
0
21 Apr 2024
Information-Ordered Bottlenecks for Adaptive Semantic Compression
Information-Ordered Bottlenecks for Adaptive Semantic Compression
Matthew Ho
Xiao-Fen Zhao
Benjamin Dan Wandelt
16
5
0
18 May 2023
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
185
1,027
0
06 Mar 2020
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
228
4,460
0
23 Jan 2020
1