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Official PyTorch implementation of “DynImpt: A dynamic data selection method for improving model training efficiency, IEEE Transactions on Knowledge and Data Engineering, 2024”.

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DynImpt

Official PyTorch implementation of DynImpt: A dynamic data selection method for improving model training efficiency, IEEE Transactions on Knowledge and Data Engineering, 2024.

If you use this code/data in your research, please cite our work:

@article{huang2024dynimpt,
  title={Dynimpt: A dynamic data selection method for improving model training efficiency},
  author={Huang, Wei and Zhang, Yunxiao and Guo, Shangmin and Shang, Yu-Ming and Fu, Xiangling},
  journal={IEEE Transactions on Knowledge and Data Engineering},
  volume={37},
  number={1},
  pages={239--252},
  year={2024},
  publisher={IEEE}
}

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Official PyTorch implementation of “DynImpt: A dynamic data selection method for improving model training efficiency, IEEE Transactions on Knowledge and Data Engineering, 2024”.

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