facebookresearch mixup-cifar10 issues

facebookresearch / mixup-cifar10

mixup: Beyond Empirical Risk Minimization

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Unable to Reproduce Results for WRN-28-10

#26 humza909 opened 1 year ago
0
Why we call Mix-up method as data augmentation technique?

#25 Nafees-060 opened 2 years ago
1
what should I change if I want to use the concept of MixUp on my dataset

#24 Oussamab21 opened 2 years ago
1
No Validation Set

#23 07Agarg opened 3 years ago
0
Inference using InstaHide

#22 MADONOKOUKI closed 3 years ago
0
Update train.py

#21 FranklinAurelio opened 3 years ago
2
PreResNet - wrong implementation of shortcut

#20 emrahyigit opened 3 years ago
1
No implementation for wide resnet

#19 FengHZ opened 5 years ago
2
Different mixup loss function between code and paper

#18 lukk47 opened 5 years ago
3
test accuracy truncated to integer

#17 gobbedy opened 5 years ago
0
reg_loss printed but not modified in train.py

#16 gobbedy opened 5 years ago
0
Adding Code of Conduct file

#15 facebook-github-bot opened 5 years ago
0
Adding Contributing file

#14 facebook-github-bot opened 5 years ago
0
train.py giving index error

#13 ArmaanBhullar opened 5 years ago
2
Fix bibtex error "too many commas"

#12 sbarzowski opened 5 years ago
2
some problem while using batch normalization

#10 ZoengMingWong closed 5 years ago
0
should I transfer the label into one-hot?

#9 sxzy opened 5 years ago
2
fix 0 percent training accuracy

#8 junweima closed 6 years ago
3
Fix 0% training accuracy

#7 junweima closed 6 years ago
1
why y is not the one-hot label encodings in the implementation?

#6 hubeibei007 closed 6 years ago
1
DenseNets do not match paper implementation

#5 PabloRR100 closed 6 years ago
1
Updated ResNets for CIFAR-10

#4 PabloRR100 closed 6 years ago
4
ResNet architectures on Cifar10 do not follow Kaiming He

#3 kudkudak closed 6 years ago
6
Fix resuming

#2 kudkudak closed 6 years ago
3
Undefined names: import torch in utils.py

#1 cclauss closed 6 years ago
1