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A Progressive Sampling Method for Dual-Node Imbalanced Learning with Restricted Data Access

International Conference on Data Mining (ICDM), 2023 at Shanghai

Requirements

Install the required packages:

python == 3.10
pip install -r requirements.txt

Datasets

  • CIFAR-10: the dataset can be download into the folder ./data/cifar10 automatically when running the main_cifar10 if the dataset is not existing.
  • KMNIST: run ./data/kmnist/download.sh to download the dataset into folder ./data/kmnist.

Run codes

For CIFAR10 dataset,

cd ./command
bash kmeans_select.sh

For KMNIST dataset,

cd ./command
bash kmeans_select_k.sh

Acknowledgements

This work uses code fragments from many projects. We acknowledge the authors of the following projects we referred in our codes.

  • pykeops for kNN and k-Means.
  • USL for parts of partitioned_kNN and get_selection_with_reg.

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