most citedSample-based Regularization: A Transfer Learning Strategy Toward Better Generalization

4 citations · 7 across the 2 of their papers we have counts for

collaborators

3 papers

cs.LG2020★ 4 cited

Sample-based Regularization: A Transfer Learning Strategy Toward Better Generalization

Yunho Jeon, Yongseok Choi, Jaesun Park +3

Training a deep neural network with a small amount of data is a challenging problem as it is vulnerable to overfitting. However, one of the practical difficulties that we often fac…

cs.LG2019

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…