Paper I read

• Unsupervised Deep Embedding for Clustering Analysis, J. Xie, R. Girshick, A. Farhadi (University of Washington, Facebook AI Reaserch), 2016
• Visualizing and Understanding Convolutional Networks, Matthew D. Zeiler, Rob Fergus, 2013
• ChoiceNet: Robust Learning by Revealing Output Correlations, Sungjoon Choi, Sanghoon Hong, Sungbin Lim (Kakao Brain, 2018)
• Generative Adversarial Nets, Ian J. Goodfellow et al., 2014
• Densely Connected Convolutional Networks, Gao Huang et al., 2018
• Deep Clustering for Unsupervised Learning of Visual Features, Mathilde Caron et al. Facebook AI Research, 2018
• Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications, Haowen Xu et al., 2018
• Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift, Sergey Ioffe, Christian Szegedy Google Inc., 2015

Materials I studied

• Rand Index
• Mutual Infomation
• From GAN to WGAN
• Generative Adversarial Nets
• Variational Auto-Encoder
• AutoML package - Auto Keras 이용 후기