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Sparse Model Soups: A Recipe for Improved Pruning via Model Averaging
29 June 2023
Max Zimmer
Christoph Spiegel
Sebastian Pokutta
MoMe
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Papers citing
"Sparse Model Soups: A Recipe for Improved Pruning via Model Averaging"
14 / 14 papers shown
Title
PatientDx: Merging Large Language Models for Protecting Data-Privacy in Healthcare
José G. Moreno
Jesus Lovon
M'Rick Robin-Charlet
Christine Damase-Michel
L. Tamine
MoMe
LM&MA
58
0
0
24 Apr 2025
On the Byzantine-Resilience of Distillation-Based Federated Learning
Christophe Roux
Max Zimmer
Sebastian Pokutta
AAML
57
1
0
19 Feb 2024
PERP: Rethinking the Prune-Retrain Paradigm in the Era of LLMs
Max Zimmer
Megi Andoni
Christoph Spiegel
Sebastian Pokutta
VLM
55
10
0
23 Dec 2023
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
44
22
0
18 Jun 2023
PopulAtion Parameter Averaging (PAPA)
Alexia Jolicoeur-Martineau
Emy Gervais
Kilian Fatras
Yan Zhang
Simon Lacoste-Julien
MoMe
47
17
0
06 Apr 2023
Git Re-Basin: Merging Models modulo Permutation Symmetries
Samuel K. Ainsworth
J. Hayase
S. Srinivasa
MoMe
255
318
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
Decebal Constantin Mocanu
Shiwei Liu
46
8
0
30 May 2022
Pruning has a disparate impact on model accuracy
Cuong Tran
Ferdinando Fioretto
Jung-Eun Kim
Rakshit Naidu
43
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
199
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
153
685
0
31 Jan 2021
What is the State of Neural Network Pruning?
Davis W. Blalock
Jose Javier Gonzalez Ortiz
Jonathan Frankle
John Guttag
191
1,032
0
06 Mar 2020
Comparing Rewinding and Fine-tuning in Neural Network Pruning
Alex Renda
Jonathan Frankle
Michael Carbin
235
383
0
05 Mar 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,683
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
307
39,238
0
01 Sep 2014
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