Dropout is a common operator in deep learning, aiming to prevent overfit...
In an era of countless content offerings, recommender systems alleviate
...
Deep-learning (DL) compilers such as TVM and TensorRT are increasingly u...
Graph Convolutional Networks (GCNs) have drawn tremendous attention in t...
While DeepMind has tentatively solved protein folding, its inverse probl...
Graphics processing units (GPUs) are the de facto standard for processin...
Temporal point process as the stochastic process on continuous domain of...
Accuracy, Robustness to noises and scales,
Interpretability, Speed, and ...
Multi-Instance GPU (MIG) is a new feature introduced by NVIDIA A100 GPUs...
Recent years have witnessed great success in handling node classificatio...
Deep learning on graphs has recently achieved remarkable success on a va...
The next generation HPC and data centers are likely to be reconfigurable...
Cloud DBs offer strong properties, including serializability, sometimes
...
Decentralized Internet is booming. People are fascinated by its promise ...
In this paper, we study a wireless networked control system (WNCS) with ...