Task-incremental learning (Task-IL) aims to enable an intelligent agent continuously accumulate knowledge from new tasks without catastrophically forgetting what it has learned in the past. It drawn increasing attention recent years, with many algorithms being proposed mitigate neural network forgetting. However, none of existing strategies is able completely eliminate issues. Moreover, explain...