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Approaching Deep Learning through the Spectral Dynamics of Weights

Approaching Deep Learning through the Spectral Dynamics of Weights

21 August 2024
David Yunis
Kumar Kshitij Patel
Samuel Wheeler
Pedro H. P. Savarese
Gal Vardi
Karen Livescu
Michael Maire
Matthew R. Walter
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Papers citing "Approaching Deep Learning through the Spectral Dynamics of Weights"

5 / 5 papers shown
Title
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
32
5
0
06 Feb 2024
Git Re-Basin: Merging Models modulo Permutation Symmetries
Git Re-Basin: Merging Models modulo Permutation Symmetries
Samuel K. Ainsworth
J. Hayase
S. Srinivasa
MoMe
239
313
0
11 Sep 2022
Low-rank lottery tickets: finding efficient low-rank neural networks via
  matrix differential equations
Low-rank lottery tickets: finding efficient low-rank neural networks via matrix differential equations
Steffen Schotthöfer
Emanuele Zangrando
J. Kusch
Gianluca Ceruti
Francesco Tudisco
50
30
0
26 May 2022
Diverse Weight Averaging for Out-of-Distribution Generalization
Diverse Weight Averaging for Out-of-Distribution Generalization
Alexandre Ramé
Matthieu Kirchmeyer
Thibaud Rahier
A. Rakotomamonjy
Patrick Gallinari
Matthieu Cord
OOD
186
128
0
19 May 2022
Implicit Regularization in Deep Tensor Factorization
Implicit Regularization in Deep Tensor Factorization
P. Milanesi
Hachem Kadri
Stéphane Ayache
Thierry Artières
27
9
0
04 May 2021
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