Diversity Without Labels: Task-Agnostic Coreset Selection Across Perception and Action
While data collection for model training is relatively easy, curating high-quality datasets from large collections is inherently challenging. Coreset estimation methods address this problem by identifying the best data subsets to train models on. However, existing approaches often require proxy model training, extensiv...