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Accurate Neural Network Pruning Requires Rethinking Sparse Optimization

Accurate Neural Network Pruning Requires Rethinking Sparse Optimization

3 August 2023
Denis Kuznedelev
Eldar Kurtic
Eugenia Iofinova
Elias Frantar
Alexandra Peste
Dan Alistarh
    VLM
ArXivPDFHTML

Papers citing "Accurate Neural Network Pruning Requires Rethinking Sparse Optimization"

12 / 12 papers shown
Title
Mask in the Mirror: Implicit Sparsification
Mask in the Mirror: Implicit Sparsification
Tom Jacobs
R. Burkholz
40
3
0
19 Aug 2024
Cyclic Sparse Training: Is it Enough?
Cyclic Sparse Training: Is it Enough?
Advait Gadhikar
Sree Harsha Nelaturu
R. Burkholz
CLL
40
0
0
04 Jun 2024
Sparse maximal update parameterization: A holistic approach to sparse
  training dynamics
Sparse maximal update parameterization: A holistic approach to sparse training dynamics
Nolan Dey
Shane Bergsma
Joel Hestness
19
5
0
24 May 2024
FedComLoc: Communication-Efficient Distributed Training of Sparse and
  Quantized Models
FedComLoc: Communication-Efficient Distributed Training of Sparse and Quantized Models
Kai Yi
Georg Meinhardt
Laurent Condat
Peter Richtárik
FedML
32
6
0
14 Mar 2024
SequentialAttention++ for Block Sparsification: Differentiable Pruning Meets Combinatorial Optimization
SequentialAttention++ for Block Sparsification: Differentiable Pruning Meets Combinatorial Optimization
T. Yasuda
Kyriakos Axiotis
Gang Fu
M. Bateni
Vahab Mirrokni
39
0
0
27 Feb 2024
Scaling Laws for Sparsely-Connected Foundation Models
Scaling Laws for Sparsely-Connected Foundation Models
Elias Frantar
C. Riquelme
N. Houlsby
Dan Alistarh
Utku Evci
18
34
0
15 Sep 2023
A Simple and Effective Pruning Approach for Large Language Models
A Simple and Effective Pruning Approach for Large Language Models
Mingjie Sun
Zhuang Liu
Anna Bair
J. Zico Kolter
56
353
0
20 Jun 2023
Powerpropagation: A sparsity inducing weight reparameterisation
Powerpropagation: A sparsity inducing weight reparameterisation
Jonathan Richard Schwarz
Siddhant M. Jayakumar
Razvan Pascanu
P. Latham
Yee Whye Teh
87
54
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
139
684
0
31 Jan 2021
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
294
6,950
0
20 Apr 2018
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
948
20,549
0
17 Apr 2017
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
282
39,190
0
01 Sep 2014
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