Looking Through the Past: Better Knowledge Retention for Generative Replay in Continual Learning

Looking Through the Past: Better Knowledge Retention for Generative Replay in Continual Learning

In this work, we improve the generative replay in a continual learning setting to perform well on challenging scenarios. Because of the growing complexity of continual learning tasks, it is becoming more popular, to apply the generative replay technique in the feature space instead of image space. N...

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Bibliographic Details
Main Authors: Valeriya Khan, Sebastian Cygert, Kamil Deja, Tomasz Trzcinski, Bartlomiej Twardowski
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Continual learning
generative replay
machine learning
Online Access:https://ieeexplore.ieee.org/document/10474374/

Internet

https://ieeexplore.ieee.org/document/10474374/

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