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pokaxpoka
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deep_Mahalanobis_detector
Code for the paper "A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks".
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Pre-trained Models are deleted
#20
xuyingzhongguo
opened
6 months ago
0
How to calculate tied covariance matrix
#19
lumliolum
opened
1 year ago
0
pretrained model
#18
xieheng888
opened
1 year ago
0
Mahalanobis for Segmentation
#17
sonukiller
opened
1 year ago
0
hello, where can I find the pretrained model on imagenet dataset?
#16
Kitzzaaa
opened
2 years ago
0
Baselines comparison
#15
XTxiatong
opened
2 years ago
0
How can you know which adversarial examples have been detected?
#14
aaronbenham
opened
2 years ago
0
None
#13
machengcheng2016
opened
2 years ago
0
How to train a One-Class Logistic Regressor?
#12
ForeverPs
opened
2 years ago
0
About The OOD Testing Set
#11
ForeverPs
opened
2 years ago
0
AUROC with M(x) scores?
#10
flpgrz
closed
2 years ago
3
Loading DenseNet Checkpoints for CIFAR-10/100
#9
superctj
opened
2 years ago
2
wrong repository... apologies.
#8
ihowell
closed
2 years ago
0
where is the code for kernel density detection?
#7
kevinbro96
opened
3 years ago
0
Release License of the repository
#6
yohskar
opened
3 years ago
0
Usability of torch._index_copy method?
#5
AlexandrosFerles
closed
4 years ago
1
How you select the random_noise_size?
#4
ywu36
opened
4 years ago
1
Model training scripts
#3
tayden
opened
4 years ago
1
Interpretation of output file
#2
tayden
opened
5 years ago
1
Validation on adversarial samples for OOD detection
#1
nom
opened
5 years ago
1