Closed
Description
Paper Information
- Paper Title: Decoupled Kullback-Leibler Divergence Loss
- Paper URL: https://arxiv.org/pdf/2305.13948
- Paper authors: Jiequan Cui, Zhuotao Tian, Zhisheng Zhong, Xiaojuan Qi, Bei Yu, Hanwang Zhang
Leaderboard Claim(s)
Add here the claim for your model(s). Copy and paste the following subsection for the number of models you want to add.
Hi, our paper has been accepted to NeurIPS 2024. Could you help update the venue on the leaderboard?
Moreover, we would like to replace the Model 1 with a new checkpoint:
- Architecture: WideResNet-34-10
- Dataset: CIFAR-100
- Comments: with basic augmentation
- Threat Model: Linf
- eps: (8/255)
- Clean accuracy: 65.76
- Robust accuracy: 31.91
- Additional data: false
- Evaluation method: auto-attack
- Checkpoint and code: model, eval log, code
Model Zoo:
- I want to add my models to the Model Zoo (check if true)
- I use an architecture that is included among
those here or intimm
. If not, I added the link to the architecture implementation so that it can be added. - I agree to release my model(s) under MIT license (check if true) OR under a custom license, located here: (put the custom license URL here if a custom license is needed. If no URL is specified, we assume that you are fine with MIT)