The study addresses two significant problems in class-incremental continual learning, emphasizing the need for improved methods that enhance knowledge retention and mitigate forgetting.
In our experiments, we utilized modified experience replay inspired by GDumb, which allows for a balanced representation of classes through effective reservoir sampling.
#continual-learning #class-incremental-learning #neural-networks #experience-replay #machine-learning
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