135 citations · 298 across the 23 of their papers we have counts for
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cs.LG2020
Kernel-convoluted Deep Neural Networks with Data Augmentation
Minjin Kim, Young-geun Kim, Dongha Kim +2
The Mixup method (Zhang et al. 2018), which uses linearly interpolated data, has emerged as an effective data augmentation tool to improve generalization performance and the robust…
math.ST2020★ 3 cited
Nonconvex sparse regularization for deep neural networks and its optimality
Ilsang Ohn, Yongdai Kim
Recent theoretical studies proved that deep neural network (DNN) estimators obtained by minimizing empirical risk with a certain sparsity constraint can attain optimal convergence…