issues
search
YisenWang
/
symmetric_cross_entropy_for_noisy_labels
Code for ICCV2019 "Symmetric Cross Entropy for Robust Learning with Noisy Labels"
https://arxiv.org/abs/1908.06112
171
stars
32
forks
source link
issues
Newest
Newest
Most commented
Recently updated
Oldest
Least commented
Least recently updated
tabular data/ noisy instances
#11
nazaretl
opened
2 years ago
0
Asymmetric Noise-
#10
jaideep11061982
opened
3 years ago
4
Maybe there are something wrongs with your code.
#9
ningkp
closed
4 years ago
0
Is the accuracy reported in tables 1, 2, and 3 from the best epoch or the last epoch?
#8
guixianjin
closed
4 years ago
2
About alpha and beta
#7
Zhengtq
closed
4 years ago
1
Multi-label scenario
#6
aditya1709
closed
4 years ago
1
How to regulate the alpha and the beta of SCEloss?
#5
firelgh
closed
4 years ago
4
Is symmetric_cross_entropy suitable for binary classification issue?
#4
useric
closed
4 years ago
1
Why Results reported in SL and D2L are different?
#3
XinshaoAmosWang
closed
4 years ago
3
How do you create asymmetric label noise on CIFAR-100?
#2
XinshaoAmosWang
closed
4 years ago
3
Matrix p = ?, when training on cifar-100 using Forward and Backward
#1
zhangchbin
closed
4 years ago
3