Multi-tasking_Learning_With_Unreliable_Labels
by uds-lsv
Pythonpushed over 7 years ago
Extending the NLNN algorithm proposed by Bekker & Goldbergers in a Multi-tasking Learning set-up to handle noisy labels. In order to extend low-resource data we often used artificial annotators. In this following setup we aim to generate clean training labeled data from artificial annotators.
AI summary
Noisy label handling tool
An open source software project that extends an existing algorithm to handle noisy labels in machine learning for low-resource data generation.
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