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Biologically inspired sleep algorithm for artificial neural networks

Biologically inspired sleep algorithm for artificial neural networks

1 August 2019
G. Krishnan
Timothy Tadros
Ramyaa Ramyaa
M. Bazhenov
ArXiv (abs)PDFHTML

Papers citing "Biologically inspired sleep algorithm for artificial neural networks"

9 / 9 papers shown
Error Sensitivity Modulation based Experience Replay: Mitigating Abrupt
  Representation Drift in Continual Learning
Error Sensitivity Modulation based Experience Replay: Mitigating Abrupt Representation Drift in Continual LearningInternational Conference on Learning Representations (ICLR), 2023
F. Sarfraz
Elahe Arani
Bahram Zonooz
KELMCLL
183
40
0
14 Feb 2023
Task-Aware Information Routing from Common Representation Space in
  Lifelong Learning
Task-Aware Information Routing from Common Representation Space in Lifelong LearningInternational Conference on Learning Representations (ICLR), 2023
Prashant Shivaram Bhat
Bahram Zonooz
Elahe Arani
CLL
203
33
0
14 Feb 2023
Sparse Coding in a Dual Memory System for Lifelong Learning
Sparse Coding in a Dual Memory System for Lifelong LearningAAAI Conference on Artificial Intelligence (AAAI), 2022
F. Sarfraz
Elahe Arani
Bahram Zonooz
CLL
181
33
0
28 Dec 2022
Continual learning benefits from multiple sleep mechanisms: NREM, REM,
  and Synaptic Downscaling
Continual learning benefits from multiple sleep mechanisms: NREM, REM, and Synaptic Downscaling
Brian S. Robinson
Clare W. Lau
Alexander New
S. Nichols
Erik C. Johnson
M. Wolmetz
W. Coon
161
0
0
09 Sep 2022
SYNERgy between SYNaptic consolidation and Experience Replay for general
  continual learning
SYNERgy between SYNaptic consolidation and Experience Replay for general continual learning
F. Sarfraz
Elahe Arani
Bahram Zonooz
CLL
210
14
0
08 Jun 2022
Learning Fast, Learning Slow: A General Continual Learning Method based
  on Complementary Learning System
Learning Fast, Learning Slow: A General Continual Learning Method based on Complementary Learning SystemInternational Conference on Learning Representations (ICLR), 2022
Elahe Arani
F. Sarfraz
Bahram Zonooz
CLL
317
165
0
29 Jan 2022
Deep Phasor Networks: Connecting Conventional and Spiking Neural
  Networks
Deep Phasor Networks: Connecting Conventional and Spiking Neural Networks
W. Olin-Ammentorp
M. Bazhenov
246
5
0
15 Jun 2021
Replay in Deep Learning: Current Approaches and Missing Biological
  Elements
Replay in Deep Learning: Current Approaches and Missing Biological ElementsNeural Computation (Neural Comput.), 2021
Tyler L. Hayes
G. Krishnan
M. Bazhenov
H. Siegelmann
T. Sejnowski
Christopher Kanan
CLL
328
145
0
01 Apr 2021
Lifelong Learning using Eigentasks: Task Separation, Skill Acquisition,
  and Selective Transfer
Lifelong Learning using Eigentasks: Task Separation, Skill Acquisition, and Selective Transfer
Aswin Raghavan
Jesse Hostetler
Indranil Sur
Abrar Rahman
Ajay Divakaran
CLL
192
7
0
14 Jul 2020
1
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