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Re-basin via implicit Sinkhorn differentiation

Re-basin via implicit Sinkhorn differentiation

22 December 2022
F. Guerrero-Peña
H. R. Medeiros
Thomas Dubail
Masih Aminbeidokhti
Eric Granger
M. Pedersoli
    MoMe
ArXivPDFHTML

Papers citing "Re-basin via implicit Sinkhorn differentiation"

14 / 14 papers shown
Title
Linear Mode Connectivity in Differentiable Tree Ensembles
Linear Mode Connectivity in Differentiable Tree Ensembles
Ryuichi Kanoh
M. Sugiyama
72
1
0
17 Feb 2025
Task Singular Vectors: Reducing Task Interference in Model Merging
Task Singular Vectors: Reducing Task Interference in Model Merging
Antonio Andrea Gargiulo
Donato Crisostomi
Maria Sofia Bucarelli
Simone Scardapane
Fabrizio Silvestri
Emanuele Rodolà
MoMe
87
9
0
26 Nov 2024
Revisiting Multi-Permutation Equivariance through the Lens of Irreducible Representations
Revisiting Multi-Permutation Equivariance through the Lens of Irreducible Representations
Yonatan Sverdlov
Ido Springer
Nadav Dym
35
2
0
09 Oct 2024
Wolf2Pack: The AutoFusion Framework for Dynamic Parameter Fusion
Wolf2Pack: The AutoFusion Framework for Dynamic Parameter Fusion
Bowen Tian
Songning Lai
Yutao Yue
MoMe
30
0
0
08 Oct 2024
Variational Inference Failures Under Model Symmetries: Permutation
  Invariant Posteriors for Bayesian Neural Networks
Variational Inference Failures Under Model Symmetries: Permutation Invariant Posteriors for Bayesian Neural Networks
Yoav Gelberg
Tycho F. A. van der Ouderaa
Mark van der Wilk
Y. Gal
AAML
37
4
0
10 Aug 2024
Merge, Ensemble, and Cooperate! A Survey on Collaborative Strategies in
  the Era of Large Language Models
Merge, Ensemble, and Cooperate! A Survey on Collaborative Strategies in the Era of Large Language Models
Jinliang Lu
Ziliang Pang
Min Xiao
Yaochen Zhu
Rui Xia
Jiajun Zhang
MoMe
49
18
0
08 Jul 2024
Harmony in Diversity: Merging Neural Networks with Canonical Correlation
  Analysis
Harmony in Diversity: Merging Neural Networks with Canonical Correlation Analysis
Stefan Horoi
Albert Manuel Orozco Camacho
Eugene Belilovsky
Guy Wolf
FedML
MoMe
29
9
0
07 Jul 2024
DIMAT: Decentralized Iterative Merging-And-Training for Deep Learning
  Models
DIMAT: Decentralized Iterative Merging-And-Training for Deep Learning Models
Nastaran Saadati
Minh Pham
Nasla Saleem
Joshua R. Waite
Aditya Balu
Zhanhong Jiang
Chinmay Hegde
Soumik Sarkar
MoMe
45
1
0
11 Apr 2024
DAM: Dynamic Adapter Merging for Continual Video QA Learning
DAM: Dynamic Adapter Merging for Continual Video QA Learning
Feng Cheng
Ziyang Wang
Yi-Lin Sung
Yan-Bo Lin
Mohit Bansal
Gedas Bertasius
CLL
MoMe
31
10
0
13 Mar 2024
Analysis of Linear Mode Connectivity via Permutation-Based Weight Matching: With Insights into Other Permutation Search Methods
Analysis of Linear Mode Connectivity via Permutation-Based Weight Matching: With Insights into Other Permutation Search Methods
Akira Ito
Masanori Yamada
Atsutoshi Kumagai
MoMe
61
5
0
06 Feb 2024
Equivariant Deep Weight Space Alignment
Equivariant Deep Weight Space Alignment
Aviv Navon
Aviv Shamsian
Ethan Fetaya
Gal Chechik
Nadav Dym
Haggai Maron
29
21
0
20 Oct 2023
Equivariant Architectures for Learning in Deep Weight Spaces
Equivariant Architectures for Learning in Deep Weight Spaces
Aviv Navon
Aviv Shamsian
Idan Achituve
Ethan Fetaya
Gal Chechik
Haggai Maron
44
63
0
30 Jan 2023
Git Re-Basin: Merging Models modulo Permutation Symmetries
Git Re-Basin: Merging Models modulo Permutation Symmetries
Samuel K. Ainsworth
J. Hayase
S. Srinivasa
MoMe
255
314
0
11 Sep 2022
A Unified Framework for Implicit Sinkhorn Differentiation
A Unified Framework for Implicit Sinkhorn Differentiation
Marvin Eisenberger
Aysim Toker
Laura Leal-Taixé
Florian Bernard
Daniel Cremers
AI4CE
53
23
0
13 May 2022
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