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Trainability Preserving Neural Pruning

Trainability Preserving Neural Pruning

25 July 2022
Huan Wang
Yun Fu
    AAML
ArXivPDFHTML

Papers citing "Trainability Preserving Neural Pruning"

5 / 5 papers shown
Title
Singular Value Scaling: Efficient Generative Model Compression via Pruned Weights Refinement
Singular Value Scaling: Efficient Generative Model Compression via Pruned Weights Refinement
H. Kim
Jaejun Yoo
47
0
0
23 Dec 2024
Anytime Neural Architecture Search on Tabular Data
Anytime Neural Architecture Search on Tabular Data
Naili Xing
Shaofeng Cai
Zhaojing Luo
Bengchin Ooi
Jian Pei
34
1
0
15 Mar 2024
ResNet strikes back: An improved training procedure in timm
ResNet strikes back: An improved training procedure in timm
Ross Wightman
Hugo Touvron
Hervé Jégou
AI4TS
212
487
0
01 Oct 2021
Sparsity in Deep Learning: Pruning and growth for efficient inference
  and training in neural networks
Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks
Torsten Hoefler
Dan Alistarh
Tal Ben-Nun
Nikoli Dryden
Alexandra Peste
MQ
141
684
0
31 Jan 2021
Comparing Rewinding and Fine-tuning in Neural Network Pruning
Comparing Rewinding and Fine-tuning in Neural Network Pruning
Alex Renda
Jonathan Frankle
Michael Carbin
224
383
0
05 Mar 2020
1