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Similarity of Neural Network Models: A Survey of Functional and Representational Measures

Similarity of Neural Network Models: A Survey of Functional and Representational Measures

10 May 2023
Max Klabunde
Tobias Schumacher
M. Strohmaier
Florian Lemmerich
ArXivPDFHTML

Papers citing "Similarity of Neural Network Models: A Survey of Functional and Representational Measures"

6 / 56 papers shown
Title
Probing Classifiers: Promises, Shortcomings, and Advances
Probing Classifiers: Promises, Shortcomings, and Advances
Yonatan Belinkov
216
291
0
24 Feb 2021
Anti-Distillation: Improving reproducibility of deep networks
Anti-Distillation: Improving reproducibility of deep networks
G. Shamir
Lorenzo Coviello
28
19
0
19 Oct 2020
Similarity Analysis of Contextual Word Representation Models
Similarity Analysis of Contextual Word Representation Models
John M. Wu
Yonatan Belinkov
Hassan Sajjad
Nadir Durrani
Fahim Dalvi
James R. Glass
30
65
0
03 May 2020
Investigating Multilingual NMT Representations at Scale
Investigating Multilingual NMT Representations at Scale
Sneha Kudugunta
Ankur Bapna
Isaac Caswell
N. Arivazhagan
Orhan Firat
LRM
121
116
0
05 Sep 2019
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
948
20,214
0
17 Apr 2017
Measuring and testing dependence by correlation of distances
Measuring and testing dependence by correlation of distances
G. Székely
Maria L. Rizzo
N. K. Bakirov
158
2,567
0
28 Mar 2008
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