3 papers
stat.ML2020
Topic Diffusion Discovery Based on Deep Non-negative Autoencoder
Sheng-Tai Huang, Yihuang Kang, Shao-Min Hung +2
Researchers have been overwhelmed by the explosion of research articles published by various research communities. Many research scholarly websites, search engines, and digital lib…
stat.ML2019
Towards Interpretable Deep Extreme Multi-label Learning
Yihuang Kang, I-Ling Cheng, Wenjui Mao +2
Many Machine Learning algorithms, such as deep neural networks, have long been criticized for being "black-boxes"-a kind of models unable to provide how it arrive at a decision wit…
cs.IR2018
Topic Diffusion Discovery based on Sparseness-constrained Non-negative Matrix Factorization
Yihuang Kang, Keng-Pei Lin, I-Ling Cheng
Due to recent explosion of text data, researchers have been overwhelmed by ever-increasing volume of articles produced by different research communities. Various scholarly search w…