6 citations · 11 across the 2 of their papers we have counts for
2 papers
cs.LG2021★ 5 cited
Automap: Towards Ergonomic Automated Parallelism for ML Models
Michael Schaarschmidt, Dominik Grewe, Dimitrios Vytiniotis +8
The rapid rise in demand for training large neural network architectures has brought into focus the need for partitioning strategies, for example by using data, model, or pipeline…
cs.CL2016★ 6 cited
Deep Semi-Supervised Learning with Linguistically Motivated Sequence Labeling Task Hierarchies
Jonathan Godwin, Pontus Stenetorp, Sebastian Riedel
In this paper we present a novel Neural Network algorithm for conducting semi-supervised learning for sequence labeling tasks arranged in a linguistically motivated hierarchy. This…