135 citations · 298 across the 23 of their papers we have counts for
Showing 2019Show all
2 papers · 1 filter
stat.ML2019★ 2 cited
Understanding and Improving Virtual Adversarial Training
Dongha Kim, Yongchan Choi, Yongdai Kim
In semi-supervised learning, virtual adversarial training (VAT) approach is one of the most attractive method due to its intuitional simplicity and powerful performances. VAT finds…
stat.ML2019★ 67 cited
Smooth function approximation by deep neural networks with general activation functions
Ilsang Ohn, Yongdai Kim
There has been a growing interest in expressivity of deep neural networks. However, most of the existing work about this topic focuses only on the specific activation function such…