NLNL-Negative-Learning-for-Noisy-Labels

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Implementation Problem for NLNL loss

3

Hi, Thanks for this great implementation. When I ran this code, I found that the implementation of the NLNL loss might exist a problem that will cause loss to be...

hongxin001

Hi, thanks for sharing your implementation. I have two questions about it: 1. Does it also work on tabular data? 2. Is the code tailored to the datasets used in...

nazaretl

这篇论文这么水？？都没有人用

1

有人试了下，可以区分噪声图片。

dreamhighchina

How to select the samples after NL?

1

After NL, the next step is SelNL, but i have problems with "py > 1/c". According to my understanding, the ideal condition is that the network will output a low...

monsterlyg

The loss function doesn't match the one mentioned in Sec 3 of paper ?

1

Hello ,I'm very interested in your work and trying to reproduce your results. Q1: I found the loss function in (line 200,main_NL.py) ` ( (loss+loss_neg) / (float((labels>=0).sum())+float((labels_neg[:,0]>=0).sum())) ).backward() ` It...

yw981

Hi there, I am very curious to see the results shown in the paper, it seems impressive! Can you provide trained models weights so that I can use it directly...

DAVEISHAN