162 citations · 310 across the 34 of their papers we have counts for
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cs.CV2018
Learning Not to Learn: Training Deep Neural Networks with Biased Data
Byungju Kim, Hyunwoo Kim, Kyungsu Kim +2
We propose a novel regularization algorithm to train deep neural networks, in which data at training time is severely biased. Since a neural network efficiently learns data distrib…
cs.CV2018
Integrating Multiple Receptive Fields through Grouped Active Convolution
Yunho Jeon, Junmo Kim
Convolutional networks have achieved great success in various vision tasks. This is mainly due to a considerable amount of research on network structure. In this study, instead of…
cs.CV2018
Constructing Fast Network through Deconstruction of Convolution
Yunho Jeon, Junmo Kim
Convolutional neural networks have achieved great success in various vision tasks; however, they incur heavy resource costs. By using deeper and wider networks, network accuracy ca…