BAG OF TRICKS FOR ADVERSARIAL TRAINING
對抗訓練是最有效的用於提升模型魯棒性的策略之一。 但是在AT上的許多改進不如簡單地提前停止訓練過程有效。 基礎參數設置的不同對模型的魯棒性有很大的影響。 本文對基礎訓練技巧和超參數的設置在對抗性訓練模型的影響提供了綜合性的評估。 十篇文章中的實現細節： 超參數設置非常不一致，不能直接對這些方法排序。 PGD-AT 在 CIFAR-10 上作爲例子 默認設置： PGD-AT框架 batc
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相關文章
- 1. Bag of Tricks for Convolutional Neural Networks
- 2. Bag of Tricks for Efficient Text Classification
- 3. Bag of Tricks for Image Classification with Convolutional Neural Networks
- 4. Bag of Freebies for Training Object Detection Neural Networks
- 5. (36)[EACL] Bag of Tricks for Efficient Text Classification
- 6. DANN：Domain-Adversarial Training of Neural Networks
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