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cs.LG2020
Counterfactual Explanation Based on Gradual Construction for Deep Networks
Hong-Gyu Jung, Sin-Han Kang, Hee-Dong Kim +2
To understand the black-box characteristics of deep networks, counterfactual explanation that deduces not only the important features of an input space but also how those features…
cs.LG2020
Self-Augmentation: Generalizing Deep Networks to Unseen Classes for Few-Shot Learning
Jin-Woo Seo, Hong-Gyu Jung, Seong-Whan Lee
Few-shot learning aims to classify unseen classes with a few training examples. While recent works have shown that standard mini-batch training with a carefully designed training s…
cs.LG2020
Few-Shot Learning with Geometric Constraints
Hong-Gyu Jung, Seong-Whan Lee
In this article, we consider the problem of few-shot learning for classification. We assume a network trained for base categories with a large number of training examples, and we a…