Few-shot backdoor defense using shapley estimation
J Guan, Z Tu, R He, D Tao - Proceedings of the IEEE/CVF …, 2022 - openaccess.thecvf.com
Deep neural networks have achieved impressive performance in a variety of tasks over the
last decade, such as autonomous driving, face recognition, and medical diagnosis …
last decade, such as autonomous driving, face recognition, and medical diagnosis …
High-Speed Ramp Merging Behavior Decision for Autonomous Vehicles Based on Multi-Agent Reinforcement Learning
X Zhang, L Wu, H Liu, Y Wang, H Li… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
To improve the decision success rate of a multiagent reinforcement learning algorithm in
merging high-speed ramps of autonomous vehicles, the independent proximal policy …
merging high-speed ramps of autonomous vehicles, the independent proximal policy …
A General DRL-Based Framework Using Mode-Selection Tangent Time Projection for Mixed On-Ramp Merging
L Ye, Z Wen, H Zhang, B Ran - 2023 IEEE 26th International …, 2023 - ieeexplore.ieee.org
Safety and efficiency are essential factors in the on-ramp merging scenario. In a mixed-
autonomy traffic, different queuing methods can greatly affect both safety and efficiency of …
autonomy traffic, different queuing methods can greatly affect both safety and efficiency of …