128 citations · 396 across the 49 of their papers we have counts for
7 papers · 1 filter
One-Class Classification for Wafer Map using Adversarial Autoencoder with DSVDD Prior
Ha Young Jo, Seong-Whan Lee
Recently, semiconductors' demand has exploded in virtual reality, smartphones, wearable devices, the internet of things, robotics, and automobiles. Semiconductor manufacturers want…
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…
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…
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…
Towards a Fast Steady-State Visual Evoked Potentials (SSVEP) Brain-Computer Interface (BCI)
Aung Aung Phyo Wai, Yangsong Zhang, Heng Guo +5
Steady-state visual evoked potentials (SSVEP) brain-computer interface (BCI) provides reliable responses leading to high accuracy and information throughput. But achieving high acc…
Mel-spectrogram augmentation for sequence to sequence voice conversion
Yeongtae Hwang, Hyemin Cho, Hongsun Yang +3
For training the sequence-to-sequence voice conversion model, we need to handle an issue of insufficient data about the number of speech pairs which consist of the same utterance.…
Network of Evolvable Neural Units: Evolving to Learn at a Synaptic Level
Paul Bertens, Seong-Whan Lee
Although Deep Neural Networks have seen great success in recent years through various changes in overall architectures and optimization strategies, their fundamental underlying des…