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Sparse Model Soups: A Recipe for Improved Pruning via Model Averaging
29 June 2023
Max Zimmer
Christoph Spiegel
S. Pokutta
MoMe
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Papers citing
"Sparse Model Soups: A Recipe for Improved Pruning via Model Averaging"
12 / 12 papers shown
Title
On the Byzantine-Resilience of Distillation-Based Federated Learning
Christophe Roux
Max Zimmer
S. Pokutta
AAML
49
1
0
19 Feb 2024
Instant Soup: Cheap Pruning Ensembles in A Single Pass Can Draw Lottery Tickets from Large Models
A. Jaiswal
Shiwei Liu
Tianlong Chen
Ying Ding
Zhangyang Wang
VLM
32
22
0
18 Jun 2023
PopulAtion Parameter Averaging (PAPA)
Alexia Jolicoeur-Martineau
Emy Gervais
Kilian Fatras
Yan Zhang
Simon Lacoste-Julien
MoMe
40
17
0
06 Apr 2023
Git Re-Basin: Merging Models modulo Permutation Symmetries
Samuel K. Ainsworth
J. Hayase
S. Srinivasa
MoMe
239
312
0
11 Sep 2022
Superposing Many Tickets into One: A Performance Booster for Sparse Neural Network Training
Lu Yin
Vlado Menkovski
Meng Fang
Tianjin Huang
Yulong Pei
Mykola Pechenizkiy
D. Mocanu
Shiwei Liu
24
8
0
30 May 2022
Pruning has a disparate impact on model accuracy
Cuong Tran
Ferdinando Fioretto
Jung-Eun Kim
Rakshit Naidu
32
38
0
26 May 2022
Diverse Weight Averaging for Out-of-Distribution Generalization
Alexandre Ramé
Matthieu Kirchmeyer
Thibaud Rahier
A. Rakotomamonjy
Patrick Gallinari
Matthieu Cord
OOD
188
128
0
19 May 2022
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
What is the State of Neural Network Pruning?
Davis W. Blalock
Jose Javier Gonzalez Ortiz
Jonathan Frankle
John Guttag
178
1,027
0
06 Mar 2020
Comparing Rewinding and Fine-tuning in Neural Network Pruning
Alex Renda
Jonathan Frankle
Michael Carbin
222
382
0
05 Mar 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
268
5,652
0
05 Dec 2016
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
39,170
0
01 Sep 2014
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