Eight papers got accepted to AAAI-20!

Eight papers from the Graduate School of AI (GSAI) at KAIST got accepted to the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20)
AAAI is one of the world’s largest and most recognized conferences on AI.
In 2020, it is to be held on February 7-12 at the Hilton New York Midtown, New York, New York, USA.

List of the papers:

“An Efficient Explorative Sampling Considering the Generative Boundaries of Deep Generative Neural Networks”
Giyoung Jeon*, Haedong Jeong* (* contributed equally), Jaesik Choi (Oral presentation)

“TellTail: Fast Scoring and Detection of Dense Subgraphs”
Bryan Hooi, Kijung Shin, Hemank Lamba, Christos Faloutsos (Oral presentation)

“MIDAS: MIcrocluster-based Detector of Anomalies in Edge Streams”
Siddharth Bhatia, Bryan Hooi, Minji Yoon, Kijung Shin, Christos Faloutsos (Oral presentation)

“Deep Mixed Effect Model using Gaussian Processes: A Personalized and Reliable Prediction for Healthcare”
Ingyo Chung, Saehoon Kim, Juho Lee, Kwang Joon Kim, Sung Ju Hwang, Eunho Yang

“Residual Neural Processes”
ByungJun Lee, Seunghoon Hong, Kee-Eung Kim

“Monte-Carlo Tree Search in Continuous Action Spaces with Value Gradients”
Jongmin Lee, Wonseok Jeon, Geon-Hyeong Kim, Kee-Eung Kim

“Bayes-Adaptive Monte-Carlo Planning and Learning for Goal-Oriented Dialogues”
Youngsoo Jang, Jongmin Lee, Kee-Eung Kim

“Relative Attributing Propagation: Interpreting the Comparative Contributions of Individual Units in Deep Neural Networks”
Woojeong Nam, Shir Gur, Jaesik Choi, Lior Wolf, Seong-Whan Lee