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20202026
most citedPerturbing Attention Gives You More Bang for the Buck: Subtle Imaging Perturbations That Efficiently Fool Customized Diffusion Models

10 citations · 14 across the 4 of their papers we have counts for

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cs.CV2020★ 4 cited

Neural Networks Are More Productive Teachers Than Human Raters: Active Mixup for Data-Efficient Knowledge Distillation from a Blackbox Model

Dongdong Wang, Yandong Li, Liqiang Wang +1

We study how to train a student deep neural network for visual recognition by distilling knowledge from a blackbox teacher model in a data-efficient manner. Progress on this proble…