4 citations · 5 across the 7 of their papers we have counts for
4 papers · 1 filter
Doubly-Regressing Approach for Subgroup Fairness
Kunwoong Kim, Kyungseon Lee, Jihu Lee +2
Algorithmic fairness is a socially crucial topic in real-world applications of AI. Among many notions of fairness, subgroup fairness is widely studied when multiple sensitive attri…
Masked Bayesian Neural Networks : Theoretical Guarantee and its Posterior Inference
Insung Kong, Dongyoon Yang, Jongjin Lee +3
Bayesian approaches for learning deep neural networks (BNN) have been received much attention and successfully applied to various applications. Particularly, BNNs have the merit of…
Improving Adversarial Robustness by Putting More Regularizations on Less Robust Samples
Dongyoon Yang, Insung Kong, Yongdai Kim
Adversarial training, which is to enhance robustness against adversarial attacks, has received much attention because it is easy to generate human-imperceptible perturbations of da…
Masked Bayesian Neural Networks : Computation and Optimality
Insung Kong, Dongyoon Yang, Jongjin Lee +2
As data size and computing power increase, the architectures of deep neural networks (DNNs) have been getting more complex and huge, and thus there is a growing need to simplify su…