Yong-Deok Kim — accepted AI-conference papers

2018

Open Set Recognition by Regularising Classifier with Fake Data Generated by Generative Adversarial Networks

Inhyuk Jo, Jungtaek Kim, Hyohyeong Kang, Yong-Deok Kim, Seungjin Choi

ICASSP 2018accepted

We present a new method to generate fake data in unknown classes in generative adversarial networks (GANs) framework. The generator in GANs is trained to generate somewhat similar to data in known classes but the different one by modelling noisy distribution on feature space of a classifier using pr…

Cited by 0 Source ↗Scholar ↗

2016

Learning to Select Pre-Trained Deep Representations With Bayesian Evidence Framework

Yong-Deok Kim, Taewoong Jang, Bohyung Han, Seungjin Choi

CVPR 2016oral

We propose a Bayesian evidence framework to facilitate transfer learning from pre-trained deep convolutional neural networks (CNNs). Our framework is formulated on top of a least squares SVM (LS-SVM) classifier, which is simple and fast in both training and testing, and achieves competitive performa…

Cited by 21 PDF ↗Scholar ↗