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GPU-based Self-Organizing Maps for Post-Labeled Few-Shot Unsupervised
  Learning

GPU-based Self-Organizing Maps for Post-Labeled Few-Shot Unsupervised Learning

International Conference on Neural Information Processing (ICONIP), 2020
4 September 2020
Lyes Khacef
Vincent Gripon
Benoit Miramond
    SSL
ArXiv (abs)PDFHTML

Papers citing "GPU-based Self-Organizing Maps for Post-Labeled Few-Shot Unsupervised Learning"

2 / 2 papers shown
A Comprehensive Survey of Few-shot Learning: Evolution, Applications,
  Challenges, and Opportunities
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and OpportunitiesACM Computing Surveys (ACM CSUR), 2022
Yisheng Song
Ting-Yuan Wang
S. Mondal
J. P. Sahoo
SLR
476
651
0
13 May 2022
A unified software/hardware scalable architecture for brain-inspired
  computing based on self-organizing neural models
A unified software/hardware scalable architecture for brain-inspired computing based on self-organizing neural modelsFrontiers in Neuroscience (Front. Neurosci.), 2022
Artem R. Muliukov
Laurent Rodriguez
Benoit Miramond
Lyes Khacef
Joachim Schmidt
Quentin Berthet
A. Upegui
214
6
0
06 Jan 2022
1
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