2018.10.14 updated : 지금은 깃헙 블로그로 이사했습니다. 블로그로 놀러오세요 :) https://yjucho1.github.io/

Contents

Papers I read

• Attention Is All You Need

• 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

• recommender systems by Andrew Ng

• Rand Index

• Mutual Infomation

• From GAN to WGAN

• Generative Adversarial Nets

• Variational Auto-Encoder

• AutoML package - Auto Keras 이용 후기