7 citations · 15 across the 3 of their papers we have counts for
3 papers
cs.LG2021★ 7 cited
Structured World Belief for Reinforcement Learning in POMDP
Gautam Singh, Skand Peri, Junghyun Kim +2
Object-centric world models provide structured representation of the scene and can be an important backbone in reinforcement learning and planning. However, existing approaches suf…
cs.LG2020★ 3 cited
Message Passing Adaptive Resonance Theory for Online Active Semi-supervised Learning
Taehyeong Kim, Injune Hwang, Hyundo Lee +4
Active learning is widely used to reduce labeling effort and training time by repeatedly querying only the most beneficial samples from unlabeled data. In real-world problems where…
cs.CV2020★ 5 cited
Label Propagation Adaptive Resonance Theory for Semi-supervised Continuous Learning
Taehyeong Kim, Injune Hwang, Gi-Cheon Kang +3
Semi-supervised learning and continuous learning are fundamental paradigms for human-level intelligence. To deal with real-world problems where labels are rarely given and the oppo…