issues
search
hendrycks
/
ss-ood
Self-Supervised Learning for OOD Detection (NeurIPS 2019)
MIT License
263
stars
31
forks
source link
issues
Newest
Newest
Most commented
Recently updated
Oldest
Least commented
Least recently updated
training epochs
#25
Davidyao99
opened
2 years ago
0
Signs of the two score components for OOD detection
#24
j-cb
opened
2 years ago
2
Application of the Method on Signal Data
#23
muskahya
closed
2 years ago
1
Accuracy for Common Corruptions.
#22
wjun0830
closed
3 years ago
2
Question for Adversarial Attack Implementation
#21
wjun0830
closed
3 years ago
5
Can you provide parameters for multiclass_ood/train_auxiliary?
#20
wjun0830
closed
3 years ago
1
Why negative KL for classification loss when doing OOD detection
#19
zjysteven
closed
3 years ago
2
one-class-train.tar can't be downloaded.
#18
xrjmalin
closed
3 years ago
1
how can I reproduce your imageNet AUROC?
#17
sh524shin
closed
3 years ago
1
Question about logits, pen = model(adv_bx * 2 - 1)
#16
Sammy42779
closed
4 years ago
2
Questions about the model
#15
ThuSNO3
closed
4 years ago
1
Reproducing CIFAR-10 One-class OOD Detector with OE
#14
sehyungp92
closed
3 years ago
4
Largely deviating AUROC scores in self-implemented MSP baseline (Multi-Class OoD Detection)
#13
kuehn-ma
closed
4 years ago
1
why bx*2 -1 ?
#12
ShunliRen
closed
4 years ago
1
Code for CIFAR-10-C and OOD-CIFAR not provided.
#11
Chaimmoon
opened
4 years ago
0
The DataParallel model doesn't accelerate at all
#10
Chaimmoon
closed
4 years ago
1
wrn_prime not found in adversarial robustness
#9
shlokk
closed
4 years ago
3
Inconsistent pixel range values
#8
pratik18v
closed
4 years ago
14
No training data provided
#7
zhangchuanyi96
closed
4 years ago
2
Question about Adversarial Training + Rotations
#6
inkawhich
closed
4 years ago
2
Question about loss function (train.py code 168 line)
#5
waldstein94
closed
4 years ago
1
Reproducing robustness results for CIFAR-10 via auxilliary rotation task
#4
nupurkmr9
closed
4 years ago
1
Would you like to share your trained model?
#3
asdfqwer2015
closed
4 years ago
1
what is Wide RevNet in your paper?
#2
95xueqian
closed
4 years ago
1
Could I use this trick in normal model training?
#1
CoinCheung
closed
5 years ago
1