121 citations · 248 across the 7 of their papers we have counts for
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stat.ML2019
Adversarial Robustness through Local Linearization
Chongli Qin, James Martens, Sven Gowal +6
Adversarial training is an effective methodology for training deep neural networks that are robust against adversarial, norm-bounded perturbations. However, the computational cost…
stat.ML2015★ 1 cited
Multi-task additive models with shared transfer functions based on dictionary learning
Alhussein Fawzi, Mathieu Sinn, Pascal Frossard
Additive models form a widely popular class of regression models which represent the relation between covariates and response variables as the sum of low-dimensional transfer funct…