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Random initialisations performing above chance and how to find them

Random initialisations performing above chance and how to find them

15 September 2022
Frederik Benzing
Simon Schug
Robert Meier
J. Oswald
Yassir Akram
Nicolas Zucchet
Laurence Aitchison
Angelika Steger
    ODL
ArXivPDFHTML

Papers citing "Random initialisations performing above chance and how to find them"

7 / 7 papers shown
Title
Analyzing the Role of Permutation Invariance in Linear Mode Connectivity
Keyao Zhan
Puheng Li
Lei Wu
MoMe
79
0
0
13 Mar 2025
Training trajectories, mini-batch losses and the curious role of the
  learning rate
Training trajectories, mini-batch losses and the curious role of the learning rate
Mark Sandler
A. Zhmoginov
Max Vladymyrov
Nolan Miller
ODL
13
10
0
05 Jan 2023
Wasserstein Barycenter-based Model Fusion and Linear Mode Connectivity
  of Neural Networks
Wasserstein Barycenter-based Model Fusion and Linear Mode Connectivity of Neural Networks
A. K. Akash
Sixu Li
Nicolas García Trillos
24
12
0
13 Oct 2022
Stochastic optimization on matrices and a graphon McKean-Vlasov limit
Stochastic optimization on matrices and a graphon McKean-Vlasov limit
Zaïd Harchaoui
Sewoong Oh
Soumik Pal
Raghav Somani
Raghavendra Tripathi
20
2
0
02 Oct 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
252
313
0
11 Sep 2022
Gradient Descent on Neurons and its Link to Approximate Second-Order
  Optimization
Gradient Descent on Neurons and its Link to Approximate Second-Order Optimization
Frederik Benzing
ODL
37
23
0
28 Jan 2022
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
223
80
0
05 Sep 2020
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