31 citations · 39 across the 4 of their papers we have counts for
4 papers
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…
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…
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…
Grouped Convolutional Neural Networks for Multivariate Time Series
Subin Yi, Janghoon Ju, Man-Ki Yoon +1
Analyzing multivariate time series data is important for many applications such as automated control, fault diagnosis and anomaly detection. One of the key challenges is to learn l…