Adversarial contrastive learning (ACL) is considered an effective way to improve the robustness of pre-trained models.
no code implementations • 10 Mar 2022 • Junjie Shen, Ningfei Wang, Ziwen Wan, Yunpeng Luo, Takami Sato, Zhisheng Hu, Xinyang Zhang, Shengjian Guo, Zhenyu Zhong, Kang Li, Ziming Zhao, Chunming Qiao, Qi Alfred Chen
In this paper, we perform the first systematization of knowledge of such growing semantic AD AI security research space.
Recent deep networks have achieved good performance on a variety of 3d points classification tasks.
Mobile phones provide a powerful sensing platform that researchers may adopt to understand proximity interactions among people and the diffusion, through these interactions, of diseases, behaviors, and opinions.
Technological breakthroughs allow us to collect data with increasing spatio-temporal resolution from complex interaction systems.