Recent studies have discovered that Chain-of-Thought prompting (CoT) can...
The introduction of 5G has changed the wireless communication industry.
...
Recently, subgraph GNNs have emerged as an important direction for devel...
Designing expressive Graph Neural Networks (GNNs) is a central topic in
...
Designing neural networks with bounded Lipschitz constant is a promising...
Distributionally robust optimization (DRO) is a widely-used approach to ...
Recently, Zhang et al. (2021) developed a new neural network architectur...
It is well-known that standard neural networks, even with a high
classif...
Gradient clipping is commonly used in training deep neural networks part...