Mode combinability: Exploring convex combinations of permutation aligned models-Reference-Cited by-同舟云学术

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Mode combinability: Exploring convex combinations of permutation aligned models

Published:2024-05 Issue: Volume:173 Page:106204
ISSN:0893-6080
Container-title:Neural Networks
language:en
Short-container-title:Neural Networks

Author:

Csiszárik Adrián^ORCID,Kiss Melinda F.,Kőrösi-Szabó Péter^ORCID,Muntag Márton,Papp Gergely^ORCID,Varga Dániel

Funder

Artificial Intelligence National Laboratory

Publisher

Elsevier BV

Reference22 articles.

1. Git re-basin: Merging models modulo permutation symmetries;Ainsworth,2023

2. Layer normalization;Ba,2016

3. Revisiting model stitching to compare neural representations;Bansal;Advances in Neural Information Processing Systems,2021

4. Network optimization: continuous and discrete methods;Bertsekas,1998

5. Similarity and matching of neural network representations;Csiszárik;Advances in Neural Information Processing Systems,2021

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