7 Papers were accepted at AAAI 2019. 

AAAI 2019

• Semantic Sentence Matching with Densely-connected Recurrent and Co-attentive Information (Seonhoon Kim, Inho Kang and 곽노준)
• Utilizing Class Information for Deep Network Representation Shaping (Daeyoung Choi and 이원종)
• Subtask Gated Networks for Non-Intrusive Load Monitoring (Changho Shin, Sunghwan Joo, Jaeryun Yim, Hyoseop Lee, Taesup Moon, 이원종)
• Data Augmentation for Spoken Language Understanding via Joint Variational Generation (Kang Min Yoo, Youhyun Shin, and 이상구)
• Dynamic Compositionality in Recursive Neural Networks with Structure-aware Tag Representations (Taeuk Kim, Jihun Choi, Daniel Edmiston, Sanghwan Bae, 이상구)
• Logistic Regression on Homomorphic Encrypted Data at Scale (Kyoohyung Han, Seungwan Hong, 천정희, Daejun Park)
• Associative Variational Auto-encoder with Distributed Latent Spaces and Associators (Dae Ung Jo, ByeongJu Lee, Jongwon Choi, Haanju Yoo, 최진영)

AAAI Workshop 2019

• Data interpolations in deep generative models under non-simply-connected manifold topology (Jiseob Kim, Byoung-Tak Zhang)

AAAI Spring Symposium 2019

• Constructing hierarchical Q&A datasets for video story understanding (Yu-Jung Heo, Kyoung-Woon On, Seongho Choi, Jaeseo Lim, Jinah Kim, Jeh-Kwang Ryu, Byung-Chull Bae, Byoung-Tak Zhang)