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Synaptic Plasticity Models and Bio-Inspired Unsupervised Deep Learning: A Survey
30 July 2023
Gabriele Lagani
Fabrizio Falchi
Claudio Gennaro
Giuseppe Amato
AAML
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Papers citing
"Synaptic Plasticity Models and Bio-Inspired Unsupervised Deep Learning: A Survey"
6 / 6 papers shown
Title
From Neurons to Computation: Biological Reservoir Computing for Pattern Recognition
Ludovico Iannello
Luca Ciampi
Gabriele Lagani
Fabrizio Tonelli
Eleonora Crocco
Lucio Maria Calcagnile
Angelo Di Garbo
F. Cremisi
Giuseppe Amato
22
0
0
06 May 2025
Deep Features for CBIR with Scarce Data using Hebbian Learning
Gabriele Lagani
D. Bacciu
Claudio Gallicchio
Fabrizio Falchi
Claudio Gennaro
Giuseppe Amato
11
5
0
18 May 2022
Stochastic Local Winner-Takes-All Networks Enable Profound Adversarial Robustness
Konstantinos P. Panousis
S. Chatzis
Sergios Theodoridis
BDL
AAML
47
11
0
05 Dec 2021
From Show to Tell: A Survey on Deep Learning-based Image Captioning
Matteo Stefanini
Marcella Cornia
Lorenzo Baraldi
S. Cascianelli
G. Fiameni
Rita Cucchiara
3DV
VLM
MLLM
51
244
0
14 Jul 2021
SoftHebb: Bayesian Inference in Unsupervised Hebbian Soft Winner-Take-All Networks
Timoleon Moraitis
Dmitry Toichkin
Adrien Journé
Yansong Chua
Qinghai Guo
AAML
BDL
57
17
0
12 Jul 2021
Local Competition and Stochasticity for Adversarial Robustness in Deep Learning
Konstantinos P. Panousis
S. Chatzis
Antonios Alexos
Sergios Theodoridis
BDL
AAML
OOD
54
19
0
04 Jan 2021
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