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[ICLR'25] Exploring Learning Complexity for Efficient Downstream Dataset Pruning

   

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Overview

This repository is an official PyTorch implementation of the ICLR 2025 paper 'Exploring Learning Complexity for Efficient Downstream Dataset Pruning'. The illustration of our algorithm core is shown as below: diagram

Requirements

pip install -r requirements.txt

Pruning

$ ./scripts/pruning.sh

Tuning

$ ./scripts/tuning.sh

Results

diagram

Citation

If you find our repository useful for your research, please consider citing our paper:

@inproceedings{
  jiang2025exploring,
  title={Exploring Learning Complexity for Efficient Downstream Dataset Pruning},
  author={Wenyu Jiang and Zhenlong Liu and Zejian Xie and Songxin Zhang and Bingyi Jing and Hongxin Wei},
  booktitle={The Thirteenth International Conference on Learning Representations},
  year={2025},
  url={https://openreview.net/forum?id=FN7n7JRjsk}
}

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