Efficient Large-Scale Multi-Modal Classification
Table 4: Performance on full FlickrTag.
['[BOLD] Model', '[BOLD] FlickrTag']
We can draw inspiration from the fact that the additive model performed reasonably well: if speed is essential—if necessary at the expense of some accuracy—the discretized models are an obvious choice to further simplify and speed up the model. An increase of 2.7% in accuracy, as seen from FastText to RSPQ, represents having an additional 16778 test set documents correctly classified using that model, which is a non-negligible amount.