However, in certain specialized domains, such as healthcare or harmless content generation, it is nearly impossible to obtain a large volume of high-quality data that matches the downstream distribution.

Deep learning algorithms have recently gained significant attention due to their impressive performance.

Thus, diagonal preconditioning methods remain popular.

Finally, we integrate the results from both branches to achieve WSI classification.

A common feature of these applications is that there are multiple decision makers interacting with each other in a common environment.

To speed up ACL, this paper proposes a robustness-aware coreset selection (RCS) method.