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@DevSinghSachan Thank you!
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https://arxiv.org/pdf/1411.1784.pdf
Generative Adversarial Nets were recently introduced as a novel way to train generative models. In this work we introduce the conditional version of generative a…
leo-p updated
7 years ago
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https://arxiv.org/pdf/1411.1784.pdf
Generative Adversarial Nets were recently introduced as a novel way to train generative models. In this work we introduce the conditional version of generative a…
leo-p updated
7 years ago
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Hi
@VictorSanh
Thanks for releasing the code and data. I am trying to retrain it in pytorch
Some questions , in your paper you have p=1 vs p=5.7 results
Say for p=1 we take one random promp…
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**Is your feature request related to a problem? Please describe.**
What Doesn’t Kill You Makes You Robust(er): Adversarial Training against Poisons and Backdoors
https://arxiv.org/pdf/2102.13624.pdf…
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# General Comments
At the moment, your article opens with a short section giving a flavor of the content of the article:
![image](https://user-images.githubusercontent.com/61658/31201969-834b044…
colah updated
6 years ago
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This seems like a very important finding mentioned in your [blog](https://huggingface.co/blog/leaderboard-decodingtrust) and something deserving of further exposition.
Submitting your paper to Gemi…
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## 論文リンク
https://arxiv.org/pdf/1511.04508.pdf
## 概要
Knowledge DistillationをAdversarial Exampleの防御手段として利用した論文
## 手法のキモ
生徒モデルを教師モデルと同じアーキテクチャとし、教師モデルの学習時と知識蒸留時は温度Tつきsoftmaxを通した後のクロスエン…
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Hi,I need to get my own samples.Can you tell how to make it?