Training models with varying capacities can be advantageous for deployin...
Knowledge graphs (KGs) have received increasing attention due to its wid...
Even though the large-scale language models have achieved excellent
perf...
Single image deraining has been an important topic in low-level computer...
Adversarial learning-based image defogging methods have been extensively...
Intracity heavy truck freight trips are basic data in city freight syste...
Deep deterministic policy gradient (DDPG) based car-following strategy c...
Density estimation is a fundamental problem in both statistics and machi...
The convolutional neural network (CNN) has become a powerful tool for va...
In this paper, we present the Role Playing Learning (RPL) scheme for a m...