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Borda avatar Borda commented on June 2, 2024

AdvProp is an adversarial training scheme that treats adversarial examples as additional examples, to prevent overfitting. Key to the method is the usage of a separate auxiliary batch norm for adversarial examples, as they have different underlying distributions to normal examples. (from tf-efficientnet-b3-ap)

Noisy Student Training is a semi-supervised learning approach. It extends the idea of self-training and distillation with the use of equal-or-larger student models and noise added to the student during learning. The algorithm is iterated a few times by treating the student as a teacher to relabel the unlabeled data and training a new student. (from tf-efficientnet-b7-ns)

from gen-efficientnet-pytorch.

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