Extended Data Fig. 1: Further results on class-incremental CIFAR-100. | Nature

Extended Data Fig. 1: Further results on class-incremental CIFAR-100.

From: Loss of plasticity in deep continual learning

Extended Data Fig. 1

a, Test accuracy in class-incremental CIFAR-100. As more classes are added, the classification becomes harder and algorithms naturally show decreasing accuracy with more classes. Each line corresponds to the average of 15 runs. b, Test accuracy of continual backpropagation for different values of the replacement rate parameter with contribution utility and 1,000 maturity threshold. The line corresponding to 10−4 is an average of five runs, whereas the other two lines are an average of 15 runs. The solid lines represent the mean and the shaded regions correspond to ±1 standard error.

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