multiple-annotators

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fmpr / CrowdLayer

A neural network layer that enables training of deep neural networks directly from crowdsourced labels (e.g. from Amazon Mechanical Turk) or, more generally, labels from multiple annotators with different biases and levels of expertise.

deep-neural-networks deep-learning tensorflow keras named-entity-recognition image-classification crowdsourcing crowd sequence-labeling text-regression multiple-annotators

Updated Dec 13, 2021
Jupyter Notebook

jyanqa / case-2022-causual-event

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Codebase of the CASE@EMNLP 2022 paper: Causality Detection using Multiple Annotation Decision.

expectation-maximization loss-functions annotations-dataset multiple-annotators transformer-architecture

Updated Feb 9, 2023
Python

gdikov / stochastic-segmentation-networks

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Tutorial reimplementation of Monteiro et al. (2020) on a toy problem.

tutorial pytorch low-rank-approximation multiple-annotators paper-implementation semantic-image-segmentation

Updated Mar 5, 2021
Jupyter Notebook

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