However, WAN is not able to generalize at all to unseen labels, hence the WSABIE+ and AiTextML have a clear advantage in the zero-resource setting.
our generalized input-label model, GILE-WAN, outperforms WAN even on seen labels, where our model has higher average precision by +2.02 points, better ranking loss by +43% and comparable OneErr (−3%).