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SLRLNL

This is the source code for reproducing experimental results for CIFAR and Animal-10N in "Separating hard clean samples from noisy samples with samples’ learning risk for DNN when learning with noisy labels".

Requirements:

  • Python 3.8
  • Pytorch 1.11.0
  • Numpy 1.22.4
  • torchvision 0.12.0+cu113

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This is the source code for SLRLNL.

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