7 citations · 12 across the 2 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
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…