1 citations · 1 across the 1 of their papers we have counts for
3 papers
cs.CV2022★ 1 cited
Does Robustness on ImageNet Transfer to Downstream Tasks?
Yutaro Yamada, Mayu Otani
As clean ImageNet accuracy nears its ceiling, the research community is increasingly more concerned about robust accuracy under distributional shifts. While a variety of methods ha…
cs.LG2018
Feature Selection using Stochastic Gates
Yutaro Yamada, Ofir Lindenbaum, Sahand Negahban +1
Feature selection problems have been extensively studied for linear estimation, for instance, Lasso, but less emphasis has been placed on feature selection for non-linear functions…
stat.ML2018
Defending against Adversarial Images using Basis Functions Transformations
Uri Shaham, James Garritano, Yutaro Yamada +5
We study the effectiveness of various approaches that defend against adversarial attacks on deep networks via manipulations based on basis function representations of images. Speci…