Awesome Lists

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.

stars
8
forks
4
watching
3
awesome list
1
View on GitHub

Embed the badge

Show how many awesome lists link to your project. The count updates automatically.

Awesome Lists badge
Markdown
[![Awesome Lists Badge](https://awesome.facts.dev/shield/uds-lsv/Multi-tasking_Learning_With_Unreliable_Labels/links.svg)](https://awesome.facts.dev/awesome/uds-lsv/Multi-tasking_Learning_With_Unreliable_Labels)
HTML
<a href="https://awesome.facts.dev/awesome/uds-lsv/Multi-tasking_Learning_With_Unreliable_Labels"><img src="https://awesome.facts.dev/shield/uds-lsv/Multi-tasking_Learning_With_Unreliable_Labels/links.svg" alt="Awesome Lists Badge" /></a>
Image URL
https://awesome.facts.dev/shield/uds-lsv/Multi-tasking_Learning_With_Unreliable_Labels/links.svg

Add a GitHub project

Missing a project or an awesome list? Paste its GitHub URL and we fetch it right away.