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Hello! I very much enjoyed reading about this work, and I was able to successfully install and run all of the example code that you have provided. I modified the test_DRD.py code to print the datafram…
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Getting the following error after executing "./pre-commit.sh"
```
(decoding_trust_env) skrishna helm % mypy --install-types --non-interactive src scripts
Installing missing stub packages:
/Users…
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Hi, since 80 Million Tiny Images is removed by MIT, how can I initialize a Gaussian mixture model?
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Please make sure that this is a bug and also refer to the [troubleshooting](https://google.github.io/mediapipe/getting_started/troubleshooting.html), FAQ documentation before raising any issues.
**…
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Hi Hendrycks.
Its pleasure to review your works in ood.
Meanwhile, I have a question about the adversarial attack.
```
adversary = attacks.PGD(epsilon=8./255, num_steps=20, step_size=2./255).cud…
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Hi,
Thanks for releasing the code. I'm particularly interested in this work since I have been doing exactly the same thing recently (incorporating OOD samples to perform adversarial training). And …
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I would like to extend the code to also evaluate the performance on images that are completely out-of-distribution. For that, the user would need to be able to specify both an in-distribution dataset …
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Hi,
Thanks for the wonderful paper and open-sourcing the code.
However, I had two issues in adversarial robustness code.
1) File "/ss-ood/adversarial/attacks.py", line 62, in forward
logits…
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**Calibration of Pre-trained Transformers**
https://arxiv.org/abs/2003.07892
participation link is available on the slack channel.
Abstract:
> Pre-trained Transformers are now ubiquitous in n…
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Hi,
I am testing the robustness of the OExp results against different ratios of in-distribution and OOD examples in the test set (in case of CIFAR10 dataset). I get an error if I consider this ratio…