arXiv:2107.03690

Proceedings of the First Workshop on Weakly Supervised Learning (WeaSuL)

Michael A. Hedderich, Benjamin Roth, Katharina Kann, Barbara Plank, Alex Ratner, Dietrich Klakow

제출 2021-07-08

원문 초록

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.

함께 살펴볼 논문

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arXiv:2505.03207공통 태그 Weakly-supervised Learning공식 코드 · Papers with Code

Partial Label Clustering

토론

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