2025
Exploring Learning Complexity for Efficient Downstream Dataset Pruning
ICLR 2025poster
The ever-increasing fine-tuning cost of large-scale pre-trained models gives rise to the importance of dataset pruning, which aims to reduce dataset size while maintaining task performance. However, existing dataset pruning methods require training on the entire dataset, which is impractical for lar…