hendrycks / outlier-exposure

Deep Anomaly Detection with Outlier Exposure (ICLR 2019)

hendrycks/outlier-exposure Issues

Question about id and ood ratio in traning
Updated 25 days ago
After fine-tuning pre-trained WideResNet, the ID classification drops a lot?
Updated 9 months ago1
TinyImageNet accessible outliers
Updated a year ago1
Are the parameters for "300K Random Images " vs. "80m TinyImaget" same.
Updated a year ago5
PixelCNN++ training script or model weights
Updated 2 years ago
code for pixelcnn++
Closed 4 years ago1
Removing duplicates
Closed 3 years ago3
The understanding of the formula in the paper and the details of the training in the code
Closed 3 years ago3
Questions about the test phase and the training detail
Closed 3 years ago6
Is each epoch using novel OOD data?
Closed 3 years ago
The download link of "80 Million Tiny Images is available here (mirror link)" is unreachable
Closed 3 years ago1
About the metric you use
Closed 3 years ago3
Standardisation of OOD samples
Closed 4 years ago1
Unable to understand the loss formulation for out-of-distibution samples
Closed 4 years ago3
Using OE for pixel level predictions
Closed 5 years ago4
Cifar10/100 reproduce results on pytorch 1.4
Closed 4 years ago1
Which subset did you use for Places365 as OOD?
Closed 5 years ago5
About the ratio of OOD examples in the test set
Closed 4 years ago1
proportion of ODD data in the training sample
Closed 4 years ago2
80 Million Tiny Images subset for download?
Closed 5 years ago1
Different results for newgroup text classification
Closed 5 years ago2
Different Results for Text Classification Experiments
Closed 5 years ago2
Pushing the code
Closed 5 years ago2
Question about Chars74k dataset as OOD
Closed 5 years ago1