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mentormix_pytorch's Issues

Thank you for the nice repo and [Request for Adding Red Mini-ImageNet Baseline]

Hi authors,

This is a great repo and I wonder can you also include the realistic noise dataset baselines?
https://google.github.io/controlled-noisy-web-labels/index.html

That would be wonderful.

  1. For getting the raw dataset to reproduce the results, please take a look:
    https://storage.googleapis.com/cnlw/README.txt

  2. Or this link in another project, which converts the red mini-imagenet in TensorFlow records.
    https://github.com/youjiangxu/FaMUS/tree/main/baselines/code_mentormix_r32

tabular data/ noisy instances

Hi,
thanks for sharing your implementation. I have two questions about it:

  1. Does it also work on tabular data?
  2. Is it possible to identify the noisy instances (return the noisy IDs or the clean set)?

Thanks!

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