From: NeurIPS.cc/2021/Workshop/Deep_Inverse/Program_Chairs
title: Paper Decision
decision: Accept (Poster)
comment: Paper investigate multi-task learning (MTL) for MRI reconstruction where some layers of the unrolled network are shared between different tasks. This initial study is interesting and shows promise compared to single-task methods. Experiments on larger datasets such as fastMRI would be interesting to see, especially to find out how MTL performs compared to a transfer learning baseline in the high-data regime.