research
∙
07/27/2020
Neural Temporal Point Processes For Modelling Electronic Health Records
The modelling of Electronic Health Records (EHRs) has the potential to d...
share
research
∙
05/19/2019
Correlation Coefficients and Semantic Textual Similarity
A large body of research into semantic textual similarity has focused on...
research
∙
04/30/2019
Don't Settle for Average, Go for the Max: Fuzzy Sets and Max-Pooled Word Vectors
Recent literature suggests that averaged word vectors followed by simple...
research
∙
04/11/2019
Relational Graph Attention Networks
We investigate Relational Graph Attention Networks, a class of models th...
research
∙
05/09/2018
Decoding Decoders: Finding Optimal Representation Spaces for Unsupervised Similarity Tasks
Experimental evidence indicates that simple models outperform complex de...
research
∙
04/11/2018
Attention U-Net: Learning Where to Look for the Pancreas
We propose a novel attention gate (AG) model for medical imaging that au...
research
∙
02/13/2017
Offline bilingual word vectors, orthogonal transformations and the inverted softmax
Usually bilingual word vectors are trained "online". Mikolov et al. show...
research
∙
04/29/2016