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Towards Biologically Plausible Convolutional Networks

Towards Biologically Plausible Convolutional Networks

22 June 2021
Roman Pogodin
Yash Mehta
Timothy Lillicrap
P. Latham
ArXivPDFHTML

Papers citing "Towards Biologically Plausible Convolutional Networks"

5 / 5 papers shown
Title
Emergent representations in networks trained with the Forward-Forward algorithm
Emergent representations in networks trained with the Forward-Forward algorithm
Niccolo Tosato
Lorenzo Basile
Emanuele Ballarin
Giuseppe de Alteriis
Alberto Cazzaniga
A. Ansuini
19
9
0
26 May 2023
SoftHebb: Bayesian Inference in Unsupervised Hebbian Soft
  Winner-Take-All Networks
SoftHebb: Bayesian Inference in Unsupervised Hebbian Soft Winner-Take-All Networks
Timoleon Moraitis
Dmitry Toichkin
Adrien Journé
Yansong Chua
Qinghai Guo
AAML
BDL
65
27
0
12 Jul 2021
MLP-Mixer: An all-MLP Architecture for Vision
MLP-Mixer: An all-MLP Architecture for Vision
Ilya O. Tolstikhin
N. Houlsby
Alexander Kolesnikov
Lucas Beyer
Xiaohua Zhai
...
Andreas Steiner
Daniel Keysers
Jakob Uszkoreit
Mario Lucic
Alexey Dosovitskiy
239
2,592
0
04 May 2021
Continual Learning with Deep Artificial Neurons
Continual Learning with Deep Artificial Neurons
Blake Camp
J. Mandivarapu
Rolando Estrada
11
8
0
13 Nov 2020
Towards Learning Convolutions from Scratch
Towards Learning Convolutions from Scratch
Behnam Neyshabur
SSL
214
71
0
27 Jul 2020
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