Title Author Date Journal Publication
Reinforcement Learning for Control with Multiple Frequencies Jongmin Lee, Byung-Jun Lee, Kee-Eung Kim 2020-12-06 NeurIPS 2020 KAIST
Learning to Adapt to Unseen Abnormal Activities under Weak Supervision Jaeyoo Park, Junha Kim, Bohyung Han 2020-11-30 ACCV 2020 Seoul National Uni.
Less is More: Attention Supervision with Counterfactuals for Text Classification Seungtaek Choi, Haeju Park, Jinyoung Yeo, Seung-won Hwang 2020-11-16 EMNLP 2020 Yonsei Uni.
Learning Style Correlation for Elaborate Few-Shot Classification Junho Kim, Minsu Kim, Jung Uk Kim, Hong Joo Lee, Sangmin Lee, Joanna Hong, Yong Man Ro 2020-10-27 ICIP 2020 KAIST
Conditional Response Augmentation for Dialogue using Knowledge Distillation Myeongho Jeong, Seungtaek Choi, Hojae Han, Kyungho Kim, Seung-won Hwang 2020-10-25 INTERSPEECH 2020 Yonsei Uni.
Improved Predictive Deep Temporal Neural Networks with Trend Filtering Youngjin Park, Deokjun Eom, Byoungki Seo, Jaesik Choi 2020-10-15 ICAIF 2020 UNIST, KAIST
Few-Shot Object Detection via Knowledge Transfer Geonuk Kim, Hong-Gyu Jung, Seong-Whan Lee 2020-10-11 SMC 2020 Korea Uni.
A Plug-in Approach to Factorization and Disentanglement Jee Seok Yoon, Heung-Il Suk 2020-08-28 2020 한국인공지능학회 하계학술대회 Korea Uni.
Uncertainty-Aware Variational-Recurrent Imputation Network for Improving In-Hospital Mortality Prediction on Clinical Time Series Ahmad Wisnu Mulyadi, Eunji Jun, Heung-Il Suk 2020-08-28 2020 한국인공지능학회 하계학술대회 Korea Uni.
Learning to Optimize Domain Specific Normalization for Domain Generalization Seonguk Seo, Yumin Suh, Dongwan Kim, Geeho Kim, Jongwoo Han, Bohyung Han 2020-08-27 ECCV 2020 Seoul National Uni., NEC Laboratories America, LG Electronics