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Understanding Weight Similarity of Neural Networks via Chain
  Normalization Rule and Hypothesis-Training-Testing

Understanding Weight Similarity of Neural Networks via Chain Normalization Rule and Hypothesis-Training-Testing

8 August 2022
Guangcong Wang
Guangrun Wang
Wenqi Liang
Jianhuang Lai
ArXivPDFHTML

Papers citing "Understanding Weight Similarity of Neural Networks via Chain Normalization Rule and Hypothesis-Training-Testing"

4 / 4 papers shown
Title
Similarity of Neural Network Models: A Survey of Functional and Representational Measures
Similarity of Neural Network Models: A Survey of Functional and Representational Measures
Max Klabunde
Tobias Schumacher
M. Strohmaier
Florian Lemmerich
63
66
0
10 May 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
52
63
0
30 Jan 2023
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
496
11,727
0
09 Mar 2017
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
313
39,252
0
01 Sep 2014
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