Introduction

Korea AI society is an organization with five special interest groups: SIG CVPR Pattern Recognition, SIG Machine Learning, SIG Artificial Intelligence, SIG Bio and Health, and SIG Brain Computer Interface. This is an annual joint meeting of five SIGs, introducing recent research achievements in each SIG. This meeting is also an opportunity for meeting researchers in working in different research areas for potential collaboration.

This meeting is open to everyone. In particular, foreigners are welcome this year as it is jointly with ACML. There is no registration fee.

Keynote Speaker

Challenges of Machine Learning
Byoung-Tak Zhang 장병탁
Seoul National University
https://bi.snu.ac.kr/

Speakers

SplitNet: Learning to Semantically Split Deep Networks for Parameter Reduction and Model Parallelization
Sung Ju Hwang 황성주
Ulsan National Institute
http://ml.unist.ac.kr/wordpress/
Embedding senses via dictionary bootstrapping
Byungkon Kang 강병곤
Ajou University
Inferring the evolutionary history among genomes using importance sampling
Giltae Song 송길태
Pusan National University
https://web.stanford.edu/~gsong/
Deep Recurrent Neural Network-Based Identification of Precursor microRNAs
Sungroh Yoon 윤성로
Seoul National University
http://data.snu.ac.kr/
Program Bug Detection and Auto-Completion using Deep Neural Networks
Jaegul Choo 주재걸
Korea University
https://sites.google.com/site/jaegulchoo/
Scalable Network Constrained Tensor Mining
Sael Lee 이슬
SUNY Korea / Stony Brook University
http://www.cbbl.sunykorea.ac.kr/
Modelling the Scene Dependent Imaging in Cameras with a Deep Neural Network
Seon Joo Kim 김선주
Yonsei University
https://sites.google.com/site/seonjookim/
Deep metric learning for retrieval and clustering
Hyun Oh Song 송현오
Seoul National University
http://cs.stanford.edu/~hsong/

Programs

Time Speaker Program
10:00 – 10:40 장병탁 (서울대)
Byoung-Tak Zhang		 Keynote Talk
Challenges of Machine Learning
10:40 – 11:05 김선주 (연세대)
Seon Joo Kim 		Modelling the Scene Dependent Imaging in Cameras with a Deep Neural Network
11:05 – 11:30 황성주 교수 (UNIST)
Sung Ju Hwang		 SplitNet: Learning to Semantically Split Deep Networks for Parameter Reduction and Model Parallelization
11:30 – 11:55 송현오 (서울대)
Hyun Oh Song		 Deep metric learning for retrieval and clustering
13:00 – 13:25 강병곤 박사
Byungkon Kang		 Embedding senses via dictionary bootstrapping
13:25 – 13:50 송길태 (부산대)
Giltae Song		 Inferring the evolutionary history among genomes using importance sampling
13:50 – 14:15 이슬 (SUNY Korea)
Sael Lee		 Scalable Network Constrained Tensor Mining
14:15 – 14:40 주재걸 (고려대)
Jaegul Choo		 Program Bug Detection and Auto-Completion using Deep Neural Networks
14:40 – 15:05 윤성로 (서울대)
Sungroh Yoon		 Deep Recurrent Neural Network-Based Identification of Precursor microRNAs
15:05 – 15:30 인공지능 소사이어티 회장단 모임

Organizing Committee

  • Sun Kim (Chair, Seoul National University)
  • Hyeran Byun (Yonsei University)
  • Heejoon Chae (Sookmyung Women’s University)
  • Seungjin Choi (Pohang University of Science and Technology)
  • Geun-Sik Jo (Inha University)
  • Sung-Bae Jo (Yonsei University)
  • Daijin Kim (Pohang University of Science and Technology)
  • Hyunjung Shin (Ajou University)
  • Sungroh Yoon (Seoul National University)
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