Salad: A Toolbox for Semi-supervised Adaptive Learning Across DomainsDownload PDF

29 Oct 2018, 17:56 (modified: 15 Nov 2018, 13:04)NIPS 2018 Workshop MLOSS Paper19 DecisionReaders: Everyone
Keywords: Domain Adaptation, Transfer Learning, Deep Learning
TL;DR: A PyTorch toolbox for comparing and applying popular domain adaptation approaches.
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.
Decision: accept
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