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Franziska Zimmermann

2 accepted papers

2021

KnowMAN: Weakly Supervised Multinomial Adversarial Networks

EMNLP 2021main

The absence of labeled data for training neural models is often addressed by leveraging knowledge about the specific task, resulting in heuristic but noisy labels. The knowledge is captured in labeling functions, which detect certain regularities or patterns in the training samples and annotate corr…

2018

Incremental Semi-Supervised Learning from Streams for Object Classification

IROS 2018poster

The Label Propagation (LP) algorithm, first introduced by Zhu and Ghahramani [1], is a semi-supervised method used in transductive learning scenarios, where all data are available already in the beginning. In this work, we present a novel extension of the LP algorithm for applications where data sam…

Cited by 7SourceScholar