This paper describes NEREL-BIO – an annotation scheme and corpus of PubM...
In this paper, we present NEREL, a Russian dataset for named entity
reco...
This paper applies t-SNE, a visualisation technique familiar from Deep N...
The application of deep learning to 3D point clouds is challenging due t...
Given that convolutional neural networks extract features via learning
c...
Loss functions are error metrics that quantify the difference between a
...
Deep neural networks have established themselves as the state-of-the-art...
We propose a novel technique to incorporate attention within convolution...
Stock market volatility forecasting is a task relevant to assessing mark...
Complex-valued neural networks are not a new concept, however, the use o...
We investigate whether ResNet architectures can outperform more traditio...
To model combinatorial decision problems involving uncertainty and
proba...