Learning Robust Representations for Malicious Content Detection via Contrastive Sampling and Uncertainty Estimation
通过对比采样和不确定性估计学习稳健的恶意内容检测表示
机构 * 1 College of Engineering ; Computer Science, University of Central Florida, Orlando, USA, 2 Department of Computer Science \& Engineering, Mississippi State University, MS State, USA , 3 Department of Computer Science, University of Nevada, Las Vegas, USA
专题命中 生物医学文本 :biomedical(abstract);分类 cs.LG
AI总结 UCF通过对比采样和不确定性估计提升恶意内容分类的准确率与召回率,实现高精度的稳健表示学习。