Supplementary Materials for Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks

We give these results in Table 1. The first column in the table shows the sequence id of each task sequence in each mixed sequence dataset. By comparing the rows for "EMNIST -10/20" and "CIFAR100-10/20", we can see how each model in the dissimilar task dataset are performing. "F-EMNIST" and "F-CelebA ", we can see the performance on similar task datasets. CA T consistently gives the best results for overall and similar task datasets.