An Effective Dynamic Gradient Calibration Method for Continual Learning

Continual learning (CL) is a fundamental topic in machine learning, where the goal is to train a model with continuously incoming data and tasks. Due to the memory limit, we cannot store all the historical data, and therefore confront the ``catastrophic forgetting'' problem, i.e., the perf...

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Hauptverfasser:	Lin, Weichen, Chen, Jiaxiang, Huang, Ruomin, Ding, Hu
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Artificial Intelligence Computer Science - Learning
Online-Zugang:	Volltext bestellen
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