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ResearchTrend.AI
GAR: An efficient and scalable Graph-based Activity Regularization for semi-supervised learning
v1v2v3 (latest)

GAR: An efficient and scalable Graph-based Activity Regularization for semi-supervised learning

Ozsel Kilinc
Ismail Uysal
ArXiv (abs)PDFHTML

Papers citing "GAR: An efficient and scalable Graph-based Activity Regularization for semi-supervised learning"

2 / 2 papers shown
Title
Learning Latent Representations in Neural Networks for Clustering through Pseudo Supervision and Graph-based Activity Regularization
Learning Latent Representations in Neural Networks for Clustering through Pseudo Supervision and Graph-based Activity Regularization
Ozsel Kilinc
Ismail Uysal
71
31
0
08 Feb 2018
Auto-clustering Output Layer: Automatic Learning of Latent Annotations in Neural Networks
Auto-clustering Output Layer: Automatic Learning of Latent Annotations in Neural Networks
Ozsel Kilinc
Ismail Uysal
OOD
49
8
0
28 Feb 2017

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