Foundation large language models (LLMs) have shown an impressive ability...
Despite considerable progress in maternal healthcare, maternal and perin...
Model explanation techniques play a critical role in understanding the s...
Colorectal Cancer (CRC) is a global health problem, resulting in 900K de...
Much work aims to explain a model's prediction on a static input. We con...
In a wide array of areas, algorithms are matching and surpassing the
per...
TensorFlow.js is a library for building and executing machine learning
a...
Predictive modeling with electronic health record (EHR) data is anticipa...
We propose a simple solution to use a single Neural Machine Translation ...
Neural Machine Translation (NMT) is an end-to-end learning approach for
...
Generalized linear models with nonlinear feature transformations are wid...
In this paper we propose and investigate a novel end-to-end method for
a...
We introduce BilBOWA (Bilingual Bag-of-Words without Alignments), a simp...
The recently introduced continuous Skip-gram model is an efficient metho...