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Self-Attention Meta-Learner for Continual Learning:

, In: Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems,

Sokar, Ghada ; Mocanu, Decebal Constantin ; Pechenizkiy, Mykola - p. 1658-1660 , 2021

Link: https://dl.acm.org/doi/10.5555/3463952.3464192

RT 
T1 <cTitle>Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems</cTitle>: T1 <Title>Self-Attention Meta-Learner for Continual Learning</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3464192&Exemplar=1&LAN=DE
				
A1 Sokar, Ghada
A1 Mocanu, Decebal Constantin
A1 Pechenizkiy, Mykola
PB International Foundation for Autonomous Agents and Multiagent Systems
YR 2021
K1 continual learning
K1 prior knowledge
K1 self-attention
K1 task agnostic inference
K1 Computing methodologies
K1 Machine learning
K1 Learning paradigms
K1 Supervised learning
K1 Supervised learning by classification
K1 Multi-task learning
K1 Lifelong machine learning
K1 Transfer learning
K1 Machine learning approaches
K1 Neural networks
K1 Artificial intelligence
K1 Computer vision
K1 Computer vision problems
K1 Object recognition
K1 Computer vision representations
K1 Image representations
SP 1658
OP 1660
LK http://dx.doi.org/https://dl.acm.org/doi/10.5555/3463952.3464192
DO https://dl.acm.org/doi/10.5555/3463952.3464192
SF ELIB - SuUB Bremen

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