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Revisiting Gaussian Neurons for Online Clustering with Unknown Number of
  Clusters
v1v2 (latest)

Revisiting Gaussian Neurons for Online Clustering with Unknown Number of Clusters

2 May 2022
O. Eidheim
ArXiv (abs)PDFHTML

Papers citing "Revisiting Gaussian Neurons for Online Clustering with Unknown Number of Clusters"

6 / 6 papers shown
Title
PyTorch-Hebbian: facilitating local learning in a deep learning
  framework
PyTorch-Hebbian: facilitating local learning in a deep learning framework
Jules Talloen
J. Dambre
Alexander Vandesompele
SSL
29
4
0
31 Jan 2021
Local Unsupervised Learning for Image Analysis
Local Unsupervised Learning for Image Analysis
Leopold Grinberg
J. Hopfield
Dmitry Krotov
SSL
51
18
0
14 Aug 2019
Unsupervised Learning by Competing Hidden Units
Unsupervised Learning by Competing Hidden Units
Dmitry Krotov
J. Hopfield
SSL
69
168
0
26 Jun 2018
A Hebbian/Anti-Hebbian Network Derived from Online Non-Negative Matrix
  Factorization Can Cluster and Discover Sparse Features
A Hebbian/Anti-Hebbian Network Derived from Online Non-Negative Matrix Factorization Can Cluster and Discover Sparse Features
Cengiz Pehlevan
D. Chklovskii
69
45
0
02 Mar 2015
Towards Biologically Plausible Deep Learning
Towards Biologically Plausible Deep Learning
Yoshua Bengio
Dong-Hyun Lee
J. Bornschein
Thomas Mesnard
Zhouhan Lin
DRLOOD
79
352
0
14 Feb 2015
Intriguing properties of neural networks
Intriguing properties of neural networks
Christian Szegedy
Wojciech Zaremba
Ilya Sutskever
Joan Bruna
D. Erhan
Ian Goodfellow
Rob Fergus
AAML
282
14,963
1
21 Dec 2013
1