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Dear Zhang,
I am currently reviewing the source code related to your work on Out-of-Distribution (OOD) adversarial training and have encountered some questions regarding your method for evading OOD…
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Dear authors,
Thank you for sharing the official implementation of your work. I'm particularly interested in reproducing the adversarial training results using your Balanced Adversarial Focal Train…
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Hi @ByungKwanLee and thanks for your work on this repo. I was trying to reproduce some experiments, and if I understood correctly, the MAD pipeline works as follows:
1-Clean pre-training of the mode…
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I'm working on a project to implement an FGSM (Fast Gradient Sign Method) attack on an LSTM model for stock price prediction using TensorFlow and Keras. Despite my efforts, I'm encountering persistent…
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Hi, I just tried to have the cyclic-adv-s545 model play against the latest 28b model. However, it doesn't seem to work very well. And I would like to do some fine tuning on my own. I just saw some scr…
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In the paper you mentioned about experiment of training Adversarially and you said
"it is challenging because it is impossible to backpropagate through sampling from the generator"
could you please …
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I have some question of details in training 3DGS. could you please answer the questions?
1. do you have plan to release the 3DGS training version?
2. do you know how many images or which images…
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Hi, thanks for your benchmark work and the open source code. I have a question about the AT part of the code.
In your paper, the section on adversarial training references the paper 'Extending adv…
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Hi,
The paper said "The whole training framework follows the contrastive learning framework" as the paper "Supervised Contrastive Learning", but I cannot find the corresponding loss function in the…
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@cgreene suggested that we improve our adversarial training definition in the [imaging applications](https://greenelab.github.io/deep-review/#imaging-applications-in-healthcare) section. See Ian Good…