the archive
#multitask learning
2 resultsstat.ML2019
Multitask learning and benchmarking with clinical time series data
Hrayr Harutyunyan, Hrant Khachatrian, David C. Kale +2
The paper introduces four benchmark prediction tasks derived from the MIMIC-III intensive care database—mortality risk, length of stay, physiologic decline detection, and phenotype…
#clinical prediction#benchmarking#multitask learning#time series
cs.CV2019
Benefiting from Multitask Learning to Improve Single Image Super-Resolution
Mohammad Saeed Rad, Behzad Bozorgtabar, Claudiu Musat +4
The paper proposes a multitask learning framework that jointly performs single image super-resolution and semantic segmentation using a shared decoder, improving the reconstruction…
#single image super-resolution#multitask learning#semantic segmentation#deep convolutional neural networks