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The codes of paper "LTF: A Label Transformation Framework for Correcting Target Shift"

Python 54.03% Shell 0.38% MATLAB 33.14% HTML 11.80% CSS 0.01% Makefile 0.02% C 0.60%

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ltf-label-transformation-framework's Issues

Questions about code

Hi authors
Interesting work! But I have a few questions about the code

  1. The code seems a bit messy, (some unused defines)
    Also, only the 'f-m' implemention is correct?
  2. In your zip file, your preTrain process .npy data seems not included
    Do I need to run the preTrain?
  3. Could you release the continuous label shift codes?
  4. confusing implementation:
    a) In your paper, you said LT takes in noise and source label, but in your code you just use random label?
    b) a bit confused about the reinforce loss, could you explain a little ?
    for example, why use this and what is 0.15 in the code

代码可以开源吗?

您好,代码可以分享下吗?《LTF: A Label Transformation Framework for Correcting Target Shift》

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