Order-free Learning Alleviating Exposure Bias in Multi-label Classification
Table 12: Performance comparisons on Reuters-21578 with more than one label.
['Models Baselines', 'Models Baselines', 'maF1 Baselines', 'miF1 Baselines', 'ebF1 Baselines', 'ACC Baselines', 'HA Baselines', 'Average Baselines']
The smaller test set has 405 samples. However, the performance gap between baseline models and proposed methods are larger, which strengthen the superiority of OCD and MTL.