Towards Interpretable Deep Extreme Multi-label Learning

no code implementations • 3 Jul 2019 • Yihuang Kang, I-Ling Cheng, Wenjui Mao, Bowen Kuo, Pei-Ju Lee

In this paper, we discuss the machine learning interpretability of a real-world application, eXtreme Multi-label Learning (XML), which involves learning models from annotated data with many pre-defined labels.

BIG-bench Machine Learning Multi-Label Learning