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Found 2 papers, 1 papers with code
Certified Training: Small Boxes are All You Need
To obtain, deterministic guarantees of adversarial robustness, specialized training methods are used.
The Negative Pretraining Effect in Sequential Deep Learning and Three Ways to Fix It
Negative pretraining is a prominent sequential learning effect of neural networks where a pretrained model obtains a worse generalization performance than a model that is trained from scratch when either are trained on a target task.
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