3 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.LG2020★ 2 cited
Multi-step Estimation for Gradient-based Meta-learning
Jin-Hwa Kim, Junyoung Park, Yongseok Choi
Gradient-based meta-learning approaches have been successful in few-shot learning, transfer learning, and a wide range of other domains. Despite its efficacy and simplicity, the bu…
cs.LG2019★ 1 cited
Domain-Agnostic Few-Shot Classification by Learning Disparate Modulators
Yongseok Choi, Junyoung Park, Subin Yi +1
Although few-shot learning research has advanced rapidly with the help of meta-learning, its practical usefulness is still limited because most of them assumed that all meta-traini…
cs.LG2019★ 3 cited
Discriminative Few-Shot Learning Based on Directional Statistics
Junyoung Park, Subin Yi, Yongseok Choi +2
Metric-based few-shot learning methods try to overcome the difficulty due to the lack of training examples by learning embedding to make comparison easy. We propose a novel algorit…