Proceedings of the First Workshop on Weakly Supervised Learning (WeaSuL)
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by
Michael A. Hedderich, Benjamin Roth, Katharina Kann, Barbara Plank, Alex Ratner, Dietrich Klakow
2021
Abstract
Welcome to WeaSuL 2021, the First Workshop on Weakly Supervised Learning,
co-located with ICLR 2021. In this workshop, we want to advance theory, methods
and tools for allowing experts to express prior coded knowledge for automatic
data annotations that can be used to train arbitrary deep neural networks for
prediction. The ICLR 2021 Workshop on Weak Supervision aims at advancing
methods that help modern machine-learning methods to generalize from knowledge
provided by experts, in interaction with observable (unlabeled) data. In total,
15 papers were accepted. All the accepted contributions are listed in these
Proceedings.
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