2018
CRAFTML, an Efficient Clustering-based Random Forest for Extreme Multi-label Learning
ICML 2018oral
Extreme Multi-label Learning (XML) considers large sets of items described by a number of labels that can exceed one million. Tree-based methods, which hierarchically partition the problem into small scale sub-problems, are particularly promising in this context to reduce the learning/prediction com…