Salad: A Toolbox for Semi-supervised Adaptive Learning Across Domains

Steffen Schneider, Alexander S. Ecker, Jakob H. Macke, Matthias Bethge

Sep 30, 2018 (modified: Oct 08, 2018) NIPS 2018 Workshop MLOSS Submission readers: everyone
  • Abstract: We introduce salad, an open source toolbox that provides a unified implementation of state-of-the-art methods for transfer learning, semi-supervised learning and domain adaptation. In the first release, we provide a framework for reproducing, extending and combining research results of the past years, including model architectures, loss functions and training algorithms. The toolbox along with first benchmark results and further resources is accessible at domainadaptation.org.
  • TL;DR: A Pytorch toolbox for comparing and applying popular domain adaptation approaches.
  • Keywords: Domain Adaptation, Transfer Learning, Deep Learning
0 Replies

Loading