Reliable Weakly Supervised Learning: Maximize Gain and Maintain Safeness

Lan-Zhe Guo, Yu-Feng Li, Ming Li +3

Weakly supervised data are widespread and have attracted much attention. However, since label quality is often difficult to guarantee, sometimes the use of weakly supervised data w…