10 citations · 12 across the 10 of their papers we have counts for
3 papers · 1 filter
Multi-step domain adaptation by adversarial attack to -divergence
Arip Asadulaev, Alexander Panfilov, Andrey Filchenkov
Adversarial examples are transferable between different models. In our paper, we propose to use this property for multi-step domain adaptation. In unsupervised domain adaptation se…
Easy Batch Normalization
Arip Asadulaev, Alexander Panfilov, Andrey Filchenkov
It was shown that adversarial examples improve object recognition. But what about their opposite side, easy examples? Easy examples are samples that the machine learning model clas…
Connecting adversarial attacks and optimal transport for domain adaptation
Arip Asadulaev, Vitaly Shutov, Alexander Korotin +2
We present a novel algorithm for domain adaptation using optimal transport. In domain adaptation, the goal is to adapt a classifier trained on the source domain samples to the targ…