Dataset Distillation and Coreset Selection
Dataset Distillation and Coreset Selection are techniques for compressing large-scale datasets into smaller, more manageable forms while preserving the essential information needed for model training. Dataset Distillation synthesizes a compact set of representative samples that encapsulate the knowledge of the full dataset, whereas Coreset Selection identifies and retains the most... Read more