The Solution for the sequential task continual learning track of the 2nd Greater Bay Area International Algorithm Competition

This paper presents a data-free, parameter-isolation-based continual learning algorithm we developed for the sequential task continual learning track of the 2nd Greater Bay Area International Algorithm Competition. The method learns an independent parameter subspace for each task within the network&...

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Hauptverfasser: Pan, Sishun, Wu, Xixian, Li, Tingmin, Huang, Longfei, Feng, Mingxu, Wan, Zhonghua, Yang, Yang
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Sprache:eng
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