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Enabling Continual Learning with Differentiable Hebbian Plasticity

Enabling Continual Learning with Differentiable Hebbian Plasticity

30 June 2020
Vithursan Thangarasa
Thomas Miconi
Graham W. Taylor
    CLL
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Papers citing "Enabling Continual Learning with Differentiable Hebbian Plasticity"

4 / 4 papers shown
Title
Understanding plasticity in neural networks
Understanding plasticity in neural networks
Clare Lyle
Zeyu Zheng
Evgenii Nikishin
Bernardo Avila-Pires
Razvan Pascanu
Will Dabney
AI4CE
35
97
0
02 Mar 2023
Is Bio-Inspired Learning Better than Backprop? Benchmarking Bio Learning
  vs. Backprop
Is Bio-Inspired Learning Better than Backprop? Benchmarking Bio Learning vs. Backprop
Manas Gupta
Sarthak Ketanbhai Modi
Hang Zhang
Joon Hei Lee
J. Lim
27
7
0
09 Dec 2022
Correlation of the importances of neural network weights calculated by
  modern methods of overcoming catastrophic forgetting
Correlation of the importances of neural network weights calculated by modern methods of overcoming catastrophic forgetting
Alexey Kutalev
16
0
0
24 Oct 2022
Stabilizing Elastic Weight Consolidation method in practical ML tasks
  and using weight importances for neural network pruning
Stabilizing Elastic Weight Consolidation method in practical ML tasks and using weight importances for neural network pruning
Alexey Kutalev
A. Lapina
30
11
0
21 Sep 2021
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