Some tasks are inferred based on the benchmarks list.
The benchmarks section lists all benchmarks using a given dataset or any of its variants. We use variants to distinguish between results evaluated on slightly different versions of the same dataset. For example, ImageNet 32⨉32 and ImageNet 64⨉64 are variants of the ImageNet dataset.
This is the data regarding the pre-generated demonstration and experience replay for the proposed Deep-GRAIL algorithm. You are welcomed to generate your own replays based on your problems at hand.