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Replay in Deep Learning: Current Approaches and Missing Biological
  Elements

Replay in Deep Learning: Current Approaches and Missing Biological Elements

1 April 2021
Tyler L. Hayes
G. Krishnan
M. Bazhenov
H. Siegelmann
T. Sejnowski
Christopher Kanan
    CLL
ArXivPDFHTML

Papers citing "Replay in Deep Learning: Current Approaches and Missing Biological Elements"

6 / 56 papers shown
Title
Can I see an Example? Active Learning the Long Tail of Attributes and
  Relations
Can I see an Example? Active Learning the Long Tail of Attributes and Relations
Tyler L. Hayes
Maximilian Nickel
Christopher Kanan
Ludovic Denoyer
Arthur Szlam
VLM
27
3
0
11 Mar 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 System
Elahe Arani
F. Sarfraz
Bahram Zonooz
CLL
93
125
0
29 Jan 2022
Ex-Model: Continual Learning from a Stream of Trained Models
Ex-Model: Continual Learning from a Stream of Trained Models
Antonio Carta
Andrea Cossu
Vincenzo Lomonaco
D. Bacciu
CLL
19
11
0
13 Dec 2021
Continual Learning at the Edge: Real-Time Training on Smartphone Devices
Continual Learning at the Edge: Real-Time Training on Smartphone Devices
Lorenzo Pellegrini
Vincenzo Lomonaco
G. Graffieti
Davide Maltoni
29
27
0
24 May 2021
Self-Supervised Training Enhances Online Continual Learning
Self-Supervised Training Enhances Online Continual Learning
Jhair Gallardo
Tyler L. Hayes
Christopher Kanan
CLL
27
68
0
25 Mar 2021
Stabilising Experience Replay for Deep Multi-Agent Reinforcement
  Learning
Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning
Jakob N. Foerster
Nantas Nardelli
Gregory Farquhar
Triantafyllos Afouras
Philip Torr
Pushmeet Kohli
Shimon Whiteson
OffRL
134
596
0
28 Feb 2017
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