This article strives for a diversely supervised visual product search, where queries specify diverse set of labels to search for. Where previous works have focused on representing attribute, instance, or category individually, we consider them together create visually describing products. We learn an embedding from the supervisory signal provided by every label encode their interrelationships. ...