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Avoiding Catastrophe: Active Dendrites Enable Multi-Task Learning in
  Dynamic Environments

Avoiding Catastrophe: Active Dendrites Enable Multi-Task Learning in Dynamic Environments

31 December 2021
A. Iyer
Karan Grewal
Akash Velu
Lucas O. Souza
Jérémy Forest
Subutai Ahmad
    AI4CE
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Papers citing "Avoiding Catastrophe: Active Dendrites Enable Multi-Task Learning in Dynamic Environments"

15 / 15 papers shown
Title
Replay4NCL: An Efficient Memory Replay-based Methodology for Neuromorphic Continual Learning in Embedded AI Systems
Replay4NCL: An Efficient Memory Replay-based Methodology for Neuromorphic Continual Learning in Embedded AI Systems
M. Minhas
Rachmad Vidya Wicaksana Putra
Falah R. Awwad
Osman Hasan
Muhammad Shafique
37
1
0
21 Mar 2025
Kernel Operator-Theoretic Bayesian Filter for Nonlinear Dynamical
  Systems
Kernel Operator-Theoretic Bayesian Filter for Nonlinear Dynamical Systems
Kan Li
José C. Príncipe
24
0
0
31 Oct 2024
Breaking Neural Network Scaling Laws with Modularity
Breaking Neural Network Scaling Laws with Modularity
Akhilan Boopathy
Sunshine Jiang
William Yue
Jaedong Hwang
Abhiram Iyer
Ila Fiete
OOD
34
2
0
09 Sep 2024
Theories of synaptic memory consolidation and intelligent plasticity for
  continual learning
Theories of synaptic memory consolidation and intelligent plasticity for continual learning
Friedemann Zenke
Axel Laborieux
21
1
0
27 May 2024
Task agnostic continual learning with Pairwise layer architecture
Task agnostic continual learning with Pairwise layer architecture
Santtu Keskinen
CLL
32
1
0
22 May 2024
Active Dendrites Enable Efficient Continual Learning in
  Time-To-First-Spike Neural Networks
Active Dendrites Enable Efficient Continual Learning in Time-To-First-Spike Neural Networks
Lorenzo Pes
Rick Luiken
Federico Corradi
Charlotte Frenkel
24
5
0
30 Apr 2024
Continual Learning of Diffusion Models with Generative Distillation
Continual Learning of Diffusion Models with Generative Distillation
Sergi Masip
Pau Rodriguez
Tinne Tuytelaars
Gido M. van de Ven
VLM
DiffM
34
7
0
23 Nov 2023
Leveraging dendritic properties to advance machine learning and
  neuro-inspired computing
Leveraging dendritic properties to advance machine learning and neuro-inspired computing
Michalis Pagkalos
R. Makarov
Panayiota Poirazi
AI4CE
28
10
0
13 Jun 2023
Context selectivity with dynamic availability enables lifelong continual
  learning
Context selectivity with dynamic availability enables lifelong continual learning
M. Barry
W. Gerstner
G. Bellec
CLL
11
0
0
02 Jun 2023
A Study of Biologically Plausible Neural Network: The Role and
  Interactions of Brain-Inspired Mechanisms in Continual Learning
A Study of Biologically Plausible Neural Network: The Role and Interactions of Brain-Inspired Mechanisms in Continual Learning
F. Sarfraz
Elahe Arani
Bahram Zonooz
27
2
0
13 Apr 2023
Artificial Neuronal Ensembles with Learned Context Dependent Gating
Artificial Neuronal Ensembles with Learned Context Dependent Gating
M. Tilley
Michelle Miller
David J. Freedman
19
3
0
17 Jan 2023
Sparse Coding in a Dual Memory System for Lifelong Learning
Sparse Coding in a Dual Memory System for Lifelong Learning
F. Sarfraz
Elahe Arani
Bahram Zonooz
CLL
16
20
0
28 Dec 2022
The Role Of Biology In Deep Learning
The Role Of Biology In Deep Learning
Robert Bain
22
0
0
07 Sep 2022
Continual Learning of Dynamical Systems with Competitive Federated
  Reservoir Computing
Continual Learning of Dynamical Systems with Competitive Federated Reservoir Computing
Leonard Bereska
E. Gavves
22
6
0
27 Jun 2022
Modelling continual learning in humans with Hebbian context gating and
  exponentially decaying task signals
Modelling continual learning in humans with Hebbian context gating and exponentially decaying task signals
Timo Flesch
D. G. Nagy
Andrew M. Saxe
Christopher Summerfield
26
34
0
22 Mar 2022
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