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Model Composition: Can Multiple Neural Networks Be Combined into a
  Single Network Using Only Unlabeled Data?

Model Composition: Can Multiple Neural Networks Be Combined into a Single Network Using Only Unlabeled Data?

20 October 2021
Amin Banitalebi-Dehkordi
Xinyu Kang
Yong Zhang
    MoMe
ArXivPDFHTML

Papers citing "Model Composition: Can Multiple Neural Networks Be Combined into a Single Network Using Only Unlabeled Data?"

2 / 2 papers shown
Title
On the use of neural networks for the structural characterization of polymeric porous materials
On the use of neural networks for the structural characterization of polymeric porous materials
Jorge Torre
Suset Barroso-Solares
M.A. Rodríguez-Pérez
Javier Pinto
46
5
0
25 Jan 2025
Spatial Cross-Attention Improves Self-Supervised Visual Representation
  Learning
Spatial Cross-Attention Improves Self-Supervised Visual Representation Learning
M. Seyfi
Amin Banitalebi-Dehkordi
Yong Zhang
SSL
13
0
0
07 Jun 2022
1