115 citations · 140 across the 9 of their papers we have counts for
3 papers · 1 filter
Semi-Supervised Translation with MMD Networks
Mark Hamilton
This work aims to improve semi-supervised learning in a neural network architecture by introducing a hybrid supervised and unsupervised cost function. The unsupervised component is…
MMLSpark: Unifying Machine Learning Ecosystems at Massive Scales
Mark Hamilton, Sudarshan Raghunathan, Ilya Matiach +13
We introduce Microsoft Machine Learning for Apache Spark (MMLSpark), an ecosystem of enhancements that expand the Apache Spark distributed computing library to tackle problems in D…
Flexible and Scalable Deep Learning with MMLSpark
Mark Hamilton, Sudarshan Raghunathan, Akshaya Annavajhala +11
In this work we detail a novel open source library, called MMLSpark, that combines the flexible deep learning library Cognitive Toolkit, with the distributed computing framework Ap…