Visual Analytics on Network Forgetting for Task‐Incremental Learning

Task‐incremental learning (Task‐IL) aims to enable an intelligent agent to continuously accumulate knowledge from new learning tasks without catastrophically forgetting what it has learned in the past. It has drawn increasing attention in recent years, with many algorithms being proposed to mitigate...

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Veröffentlicht in:	Computer graphics forum 2023-06, Vol.42 (3), p.437-448
Hauptverfasser:	Li, Ziwei, Xu, Jiayi, Chao, Wei‐Lun, Shen, Han‐Wei
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms CCS Concepts Cognitive tasks Computing methodologies → Visual analytics Intelligent agents Learning Machine learning Mathematical analysis Neural networks Theory of computation → Continual learning
Online-Zugang:	Volltext
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