Accelerated Training for Massive Classification via Dynamic Class Selection

Understand

Massive classification, a classification task defined over a vast number of classes (hundreds of thousands or even millions), has become an essential part of many real-world systems, such as face recognition.

• Existing methods, including the deep networks that achieved remarkable success in recent years, were mostly devised for problems with a moderate number of classes.
• They would meet with substantial difficulties, e.g.
• excessive memory demand and computational cost, when applied to massive problems.