Comments (6)
Hi,
thanks for the submission! We'll add the models as soon as possible.
from robustbench.
Added with #77, hope it looks good to you.
from robustbench.
Hi Francesco,
The update looks good! Thank you!
from robustbench.
Hi,
This paper has been accepted to ICML 2022. Could you please update in the venue column? Thank you!
from robustbench.
done (both here and on the website).
congrats on the acceptance and i guess see you in Baltimore! :)
from robustbench.
Thank you! See you in Baltimore! :)
from robustbench.
Related Issues (20)
- Error in loading CIFAR-10C HOT 6
- Error when running load_cifar10C HOT 1
- What is Best known robust accuracy? HOT 1
- Question for error when running Linf Imagenet Model HOT 4
- [New Model] <Peng2023Robust> HOT 19
- Pickle error for the cifar10 Standard model HOT 8
- Question about preprocessing parameter when using benchmark HOT 1
- Dependency issue on `timm~=0.6.7` with HuggingFace `detectors` package HOT 4
- Latest install causing compatibilty issue with torchvision HOT 2
- Regarding the download and loading of standard model weights (_pickle.UnpicklingError: invalid load key, '<'.) HOT 19
- install error,could you help me check this problem, I use pip install git+https://github.com/RobustBench/robustbench.git HOT 2
- Want to get information of Standard model HOT 4
- Bug Report with a Solution HOT 1
- Not able to load XCIT (Debendetti2022light) HOT 2
- UnpicklingError: invalid load key, '<'. HOT 3
- Add new CIFAR100 standard model HOT 2
- Loading CIFAR10 - C HOT 4
- [New Model] <Bai2024MixedNUTS> HOT 7
- Pretrain ResNet-50 with autoattack HOT 5
- Train robust models on other datasets. HOT 3
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