In this paper, we study the effect of a novel regularization scheme on
c...
Deep learning models trained in a fully supervised manner have been show...
The No Unmeasured Confounding Assumption is widely used to identify caus...
We propose a selective learning method using meta-learning and deep
rein...
The Large Scale Visual Recognition Challenge based on the well-known Ima...
Biomedical association studies are increasingly done using clinical conc...
Healthcare is a natural arena for the application of machine learning,
e...
The discovery of adversarial examples has raised concerns about the prac...
Word embeddings have emerged as a popular approach to unsupervised learn...
Discovering causal genetic variants from large genetic association studi...