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Stitching for Neuroevolution: Recombining Deep Neural Networks without
  Breaking Them

Stitching for Neuroevolution: Recombining Deep Neural Networks without Breaking Them

21 March 2024
Arthur Guijt
D. Thierens
T. Alderliesten
Peter A. N. Bosman
ArXivPDFHTML

Papers citing "Stitching for Neuroevolution: Recombining Deep Neural Networks without Breaking Them"

3 / 3 papers shown
Title
How not to Stitch Representations to Measure Similarity: Task Loss
  Matching versus Direct Matching
How not to Stitch Representations to Measure Similarity: Task Loss Matching versus Direct Matching
András Balogh
Márk Jelasity
85
0
0
15 Dec 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
252
313
0
11 Sep 2022
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Z. Tu
Kaiming He
297
10,216
0
16 Nov 2016
1