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rank loss func bug #14
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Come on! Please check the difference when we calculate: pre_pw_dif and gt_pw_dif |
oh... yes, you are right, thanks! |
why do you use "mean" to reduce rank loss instead of "sum" which is from loss equation in the essay? |
Is this loss really useful?I try so many times, just find that the results without rank loss are much better! |
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rank loss should be ''..... - tf.multiply(pre_pw_dif, gt_pw_dif) ...‘’, '-' is missing when define the loss in rank_lstm.py
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