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Understanding Mode Connectivity via Parameter Space Symmetry

Understanding Mode Connectivity via Parameter Space Symmetry

29 May 2025
B. Zhao
Nima Dehmamy
Robin Walters
Rose Yu
ArXiv (abs)PDFHTML

Papers citing "Understanding Mode Connectivity via Parameter Space Symmetry"

48 / 48 papers shown
Title
Paths and Ambient Spaces in Neural Loss Landscapes
Daniel Dold
Julius Kobialka
Nicolai Palm
Emanuel Sommer
David Rügamer
Oliver Durr
AI4CE
115
0
0
05 Mar 2025
Input Space Mode Connectivity in Deep Neural Networks
Input Space Mode Connectivity in Deep Neural Networks
Jakub Vrabel
Ori Shem-Ur
Yaron Oz
David Krueger
99
1
0
09 Sep 2024
Landscaping Linear Mode Connectivity
Landscaping Linear Mode Connectivity
Sidak Pal Singh
Linara Adilova
Michael Kamp
Asja Fischer
Bernhard Scholkopf
Thomas Hofmann
107
6
0
24 Jun 2024
The Empirical Impact of Neural Parameter Symmetries, or Lack Thereof
The Empirical Impact of Neural Parameter Symmetries, or Lack Thereof
Derek Lim
Moe Putterman
Robin Walters
Haggai Maron
Stefanie Jegelka
90
9
0
30 May 2024
On the Emergence of Cross-Task Linearity in the Pretraining-Finetuning
  Paradigm
On the Emergence of Cross-Task Linearity in the Pretraining-Finetuning Paradigm
Zhanpeng Zhou
Zijun Chen
Yilan Chen
Bo Zhang
Junchi Yan
MoMe
78
11
0
06 Feb 2024
Disentangling Linear Mode-Connectivity
Disentangling Linear Mode-Connectivity
Gul Sena Altintas
Gregor Bachmann
Lorenzo Noci
Thomas Hofmann
112
8
0
15 Dec 2023
Proving Linear Mode Connectivity of Neural Networks via Optimal
  Transport
Proving Linear Mode Connectivity of Neural Networks via Optimal Transport
Damien Ferbach
Baptiste Goujaud
Gauthier Gidel
Aymeric Dieuleveut
MoMe
106
16
0
29 Oct 2023
Going Beyond Linear Mode Connectivity: The Layerwise Linear Feature
  Connectivity
Going Beyond Linear Mode Connectivity: The Layerwise Linear Feature Connectivity
Zhanpeng Zhou
Yongyi Yang
Xiaojiang Yang
Junchi Yan
Wei Hu
79
34
0
17 Jul 2023
Layer-wise Linear Mode Connectivity
Layer-wise Linear Mode Connectivity
Linara Adilova
Maksym Andriushchenko
Michael Kamp
Asja Fischer
Martin Jaggi
FedMLFAttMoMe
94
17
0
13 Jul 2023
Improving Convergence and Generalization Using Parameter Symmetries
Improving Convergence and Generalization Using Parameter Symmetries
Bo Zhao
Robert Mansel Gower
Robin Walters
Rose Yu
MoMe
103
16
0
22 May 2023
Complex Critical Points of Deep Linear Neural Networks
Complex Critical Points of Deep Linear Neural Networks
Ayush Bharadwaj
Serkan Hosten
44
2
0
30 Jan 2023
Mechanistic Mode Connectivity
Mechanistic Mode Connectivity
Ekdeep Singh Lubana
Eric J. Bigelow
Robert P. Dick
David M. Krueger
Hidenori Tanaka
101
49
0
15 Nov 2022
REPAIR: REnormalizing Permuted Activations for Interpolation Repair
REPAIR: REnormalizing Permuted Activations for Interpolation Repair
Keller Jordan
Hanie Sedghi
O. Saukh
R. Entezari
Behnam Neyshabur
MoMe
76
101
0
15 Nov 2022
Symmetries, flat minima, and the conserved quantities of gradient flow
Symmetries, flat minima, and the conserved quantities of gradient flow
Bo Zhao
I. Ganev
Robin Walters
Rose Yu
Nima Dehmamy
77
20
0
31 Oct 2022
Random initialisations performing above chance and how to find them
Random initialisations performing above chance and how to find them
Frederik Benzing
Simon Schug
Robert Meier
J. Oswald
Yassir Akram
Nicolas Zucchet
Laurence Aitchison
Angelika Steger
ODL
88
26
0
15 Sep 2022
Git Re-Basin: Merging Models modulo Permutation Symmetries
Git Re-Basin: Merging Models modulo Permutation Symmetries
Samuel K. Ainsworth
J. Hayase
S. Srinivasa
MoMe
293
343
0
11 Sep 2022
Linear Connectivity Reveals Generalization Strategies
Linear Connectivity Reveals Generalization Strategies
Jeevesh Juneja
Rachit Bansal
Kyunghyun Cho
João Sedoc
Naomi Saphra
285
47
0
24 May 2022
Symmetry Teleportation for Accelerated Optimization
Symmetry Teleportation for Accelerated Optimization
B. Zhao
Nima Dehmamy
Robin Walters
Rose Yu
ODL
65
24
0
21 May 2022
Model soups: averaging weights of multiple fine-tuned models improves
  accuracy without increasing inference time
Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time
Mitchell Wortsman
Gabriel Ilharco
S. Gadre
Rebecca Roelofs
Raphael Gontijo-Lopes
...
Hongseok Namkoong
Ali Farhadi
Y. Carmon
Simon Kornblith
Ludwig Schmidt
MoMe
149
1,009
1
10 Mar 2022
Deep Networks on Toroids: Removing Symmetries Reveals the Structure of
  Flat Regions in the Landscape Geometry
Deep Networks on Toroids: Removing Symmetries Reveals the Structure of Flat Regions in the Landscape Geometry
Fabrizio Pittorino
Antonio Ferraro
Gabriele Perugini
Christoph Feinauer
Carlo Baldassi
R. Zecchina
247
26
0
07 Feb 2022
The Role of Permutation Invariance in Linear Mode Connectivity of Neural
  Networks
The Role of Permutation Invariance in Linear Mode Connectivity of Neural Networks
R. Entezari
Hanie Sedghi
O. Saukh
Behnam Neyshabur
MoMe
94
237
0
12 Oct 2021
Geometry of Linear Convolutional Networks
Geometry of Linear Convolutional Networks
Kathlén Kohn
Thomas Merkh
Guido Montúfar
Matthew Trager
71
20
0
03 Aug 2021
Geometry of the Loss Landscape in Overparameterized Neural Networks:
  Symmetries and Invariances
Geometry of the Loss Landscape in Overparameterized Neural Networks: Symmetries and Invariances
Berfin cSimcsek
François Ged
Arthur Jacot
Francesco Spadaro
Clément Hongler
W. Gerstner
Johanni Brea
AI4CE
73
102
0
25 May 2021
Loss Surface Simplexes for Mode Connecting Volumes and Fast Ensembling
Loss Surface Simplexes for Mode Connecting Volumes and Fast Ensembling
Gregory W. Benton
Wesley J. Maddox
Sanae Lotfi
A. Wilson
UQCV
92
70
0
25 Feb 2021
When Are Solutions Connected in Deep Networks?
When Are Solutions Connected in Deep Networks?
Quynh N. Nguyen
Pierre Bréchet
Marco Mondelli
66
10
0
18 Feb 2021
A Note on Connectivity of Sublevel Sets in Deep Learning
A Note on Connectivity of Sublevel Sets in Deep Learning
Quynh N. Nguyen
MLT
58
8
0
21 Jan 2021
Neural Mechanics: Symmetry and Broken Conservation Laws in Deep Learning
  Dynamics
Neural Mechanics: Symmetry and Broken Conservation Laws in Deep Learning Dynamics
D. Kunin
Javier Sagastuy-Breña
Surya Ganguli
Daniel L. K. Yamins
Hidenori Tanaka
144
80
0
08 Dec 2020
Optimizing Mode Connectivity via Neuron Alignment
Optimizing Mode Connectivity via Neuron Alignment
N. Joseph Tatro
Pin-Yu Chen
Payel Das
Igor Melnyk
P. Sattigeri
Rongjie Lai
MoMe
278
82
0
05 Sep 2020
What is being transferred in transfer learning?
What is being transferred in transfer learning?
Behnam Neyshabur
Hanie Sedghi
Chiyuan Zhang
114
527
0
26 Aug 2020
Bridging Mode Connectivity in Loss Landscapes and Adversarial Robustness
Bridging Mode Connectivity in Loss Landscapes and Adversarial Robustness
Pu Zhao
Pin-Yu Chen
Payel Das
Karthikeyan N. Ramamurthy
Xue Lin
AAML
123
190
0
30 Apr 2020
Landscape Connectivity and Dropout Stability of SGD Solutions for
  Over-parameterized Neural Networks
Landscape Connectivity and Dropout Stability of SGD Solutions for Over-parameterized Neural Networks
Aleksandr Shevchenko
Marco Mondelli
169
37
0
20 Dec 2019
Linear Mode Connectivity and the Lottery Ticket Hypothesis
Linear Mode Connectivity and the Lottery Ticket Hypothesis
Jonathan Frankle
Gintare Karolina Dziugaite
Daniel M. Roy
Michael Carbin
MoMe
159
628
0
11 Dec 2019
Model Fusion via Optimal Transport
Model Fusion via Optimal Transport
Sidak Pal Singh
Martin Jaggi
MoMeFedML
114
240
0
12 Oct 2019
Weight-space symmetry in deep networks gives rise to permutation
  saddles, connected by equal-loss valleys across the loss landscape
Weight-space symmetry in deep networks gives rise to permutation saddles, connected by equal-loss valleys across the loss landscape
Johanni Brea
Berfin Simsek
Bernd Illing
W. Gerstner
96
58
0
05 Jul 2019
Explaining Landscape Connectivity of Low-cost Solutions for Multilayer
  Nets
Explaining Landscape Connectivity of Low-cost Solutions for Multilayer Nets
Rohith Kuditipudi
Xiang Wang
Holden Lee
Yi Zhang
Zhiyuan Li
Wei Hu
Sanjeev Arora
Rong Ge
FAtt
101
93
0
14 Jun 2019
On Connected Sublevel Sets in Deep Learning
On Connected Sublevel Sets in Deep Learning
Quynh N. Nguyen
104
102
0
22 Jan 2019
The loss surface of deep linear networks viewed through the algebraic
  geometry lens
The loss surface of deep linear networks viewed through the algebraic geometry lens
D. Mehta
Tianran Chen
Tingting Tang
J. Hauenstein
ODL
68
32
0
17 Oct 2018
Exposition and Interpretation of the Topology of Neural Networks
Exposition and Interpretation of the Topology of Neural Networks
Rickard Brüel-Gabrielsson
Gunnar Carlsson
FAtt
41
54
0
08 Oct 2018
Using Mode Connectivity for Loss Landscape Analysis
Using Mode Connectivity for Loss Landscape Analysis
Akhilesh Deepak Gotmare
N. Keskar
Caiming Xiong
R. Socher
49
28
0
18 Jun 2018
Averaging Weights Leads to Wider Optima and Better Generalization
Averaging Weights Leads to Wider Optima and Better Generalization
Pavel Izmailov
Dmitrii Podoprikhin
T. Garipov
Dmitry Vetrov
A. Wilson
FedMLMoMe
135
1,670
0
14 Mar 2018
Essentially No Barriers in Neural Network Energy Landscape
Essentially No Barriers in Neural Network Energy Landscape
Felix Dräxler
K. Veschgini
M. Salmhofer
Fred Hamprecht
MoMe
116
434
0
02 Mar 2018
Loss Surfaces, Mode Connectivity, and Fast Ensembling of DNNs
Loss Surfaces, Mode Connectivity, and Fast Ensembling of DNNs
T. Garipov
Pavel Izmailov
Dmitrii Podoprikhin
Dmitry Vetrov
A. Wilson
UQCV
89
757
0
27 Feb 2018
An introduction to Topological Data Analysis: fundamental and practical
  aspects for data scientists
An introduction to Topological Data Analysis: fundamental and practical aspects for data scientists
Frédéric Chazal
Bertrand Michel
96
596
0
11 Oct 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
730
132,363
0
12 Jun 2017
Topology and Geometry of Half-Rectified Network Optimization
Topology and Geometry of Half-Rectified Network Optimization
C. Freeman
Joan Bruna
218
235
0
04 Nov 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN3DV
776
36,881
0
25 Aug 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,426
0
10 Dec 2015
Symmetry-invariant optimization in deep networks
Symmetry-invariant optimization in deep networks
Vijay Badrinarayanan
Bamdev Mishra
R. Cipolla
ODL
48
34
0
05 Nov 2015
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