Uncertainty-Guided Boundary Learning for Imbalanced Social Event Detection
Uncertainty-Guided Boundary Learning for Imbalanced Social Event Detection
Real-world social events typically exhibit a severe class-imbalance distribution, which makes the trained detection model encounter a serious generalization challenge. Most studies solve this problem from the frequency perspective and emphasize the representation or classifier learning for tail classes. While in our observation, compared to the rarity of classes, the …