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Greedy-layer Pruning: Speeding up Transformer Models for Natural Language Processing
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Greedy-layer Pruning: Speeding up Transformer Models for Natural Language Processing

David Peer
Sebastian Stabinger
Stefan Engl
A. Rodríguez-Sánchez
ArXiv (abs)PDFHTMLGithub (7★)

Papers citing "Greedy-layer Pruning: Speeding up Transformer Models for Natural Language Processing"

4 / 4 papers shown
Title
Why Lift so Heavy? Slimming Large Language Models by Cutting Off the Layers
Why Lift so Heavy? Slimming Large Language Models by Cutting Off the Layers
Shuzhou Yuan
Ercong Nie
Bolei Ma
Michael Farber
103
3
0
18 Feb 2024
CoMFLP: Correlation Measure based Fast Search on ASR Layer Pruning
CoMFLP: Correlation Measure based Fast Search on ASR Layer Pruning
W. Liu
Zhiyuan Peng
Tan Lee
52
2
0
21 Sep 2023
The EarlyBIRD Catches the Bug: On Exploiting Early Layers of Encoder Models for More Efficient Code Classification
The EarlyBIRD Catches the Bug: On Exploiting Early Layers of Encoder Models for More Efficient Code Classification
Anastasiia Grishina
Max Hort
Leon Moonen
46
6
0
08 May 2023
Gradient-Free Structured Pruning with Unlabeled Data
Gradient-Free Structured Pruning with Unlabeled Data
Azade Nova
H. Dai
Dale Schuurmans
SyDa
77
22
0
07 Mar 2023