We propose a simple approach for the abstractive summarization of long l...
This work presents Time-reversal Equivariant Neural Network (TENN) frame...
Though many algorithms can be used to automatically summarize legal case...
Machine learning, especially deep learning, can build a direct mapping f...
Machine Learning (ML) interatomic potential has shown its great power in...
To facilitate the antenna design with the aid of computer, one of the
pr...
Message-passing neural networks (MPNN) have shown extremely high efficie...
The success of a text simplification system heavily depends on the quali...
This paper presents a data-driven study focusing on analyzing and predic...
This paper is about regularizing deep convolutional networks (ConvNets) ...
This paper presents an automatic network adaptation method that finds a
...
Predicting attributes from face images in the wild is a challenging comp...
Predicting facial attributes from faces in the wild is very challenging ...
Different from face verification, face identification is much more deman...