Xing Zi

Vision-language sample scoring with dynamic coverage-centric strategies

Data pruning reduces image-classifier training cost by replacing a full training set with a coreset. Existing methods often require training a target or proxy model to estimate sample importance, which ties data selection to a particular architecture. In addition, common allocati...