2019
Learning Context-dependent Label Permutations for Multi-label Classification
ICML 2019oral
A key problem in multi-label classification is to utilize dependencies among the labels. Chaining classifiers are a simple technique for addressing this problem but current algorithms all assume a fixed, static label ordering. In this work, we propose a multi-label classification approach which allo…