Large language models (LLMs) have recently demonstrated remarkable
capab...
We propose a quantum sample-to-query lifting theorem. It reveals a quadr...
Human motion prediction has achieved a brilliant performance with the he...
Protein representation learning has primarily benefited from the remarka...
In this paper, we develop an efficient multi-scale network to predict ac...
Medical image classification has been widely adopted in medical image
an...
Pathologists need to combine information from differently stained
pathol...
Many recent breakthroughs in multi-agent reinforcement learning (MARL)
r...
We propose a series of quantum algorithms for computing a wide range of
...
Significant advances have recently been achieved in Multi-Agent Reinforc...
The presence of metallic implants often introduces severe metal artifact...
In Goal-oriented Reinforcement learning, relabeling the raw goals in pas...
In deep learning-based local stereo matching methods, larger image patch...
Feature selection is important in data representation and intelligent
di...
Computed tomography (CT) has been widely used for medical diagnosis,
ass...
Pose prediction is an increasingly interesting topic in computer vision ...