AAAI 2023technical0 citations
Ordinal Programmatic Weak Supervision and Crowdsourcing for Estimating Cognitive States (Student Abstract)
Prakruthi Pradeep, Benedikt Boecking, Nicholas Gisolfi, Jacob R. Kintz, Torin K. Clark, Artur Dubrawski
Abstract
Crowdsourcing and weak supervision offer methods to efficiently label large datasets. Our work builds on existing weak supervision models to accommodate ordinal target classes, in an effort to recover ground truth from weak, external labels. We define a parameterized factor function and show that our approach improves over other baselines.
BibTeX
@article{Pradeep_Boecking_Gisolfi_Kintz_Clark_Dubrawski_2024, title={Ordinal Programmatic Weak Supervision and Crowdsourcing for Estimating Cognitive States (Student Abstract)}, volume={37}, url={https://ojs.aaai.org/index.php/AAAI/article/view/27012}, DOI={10.1609/aaai.v37i13.27012}, abstractNote={Crowdsourcing and weak supervision offer methods to efficiently label large datasets. Our work builds on existing weak supervision models to accommodate ordinal target classes, in an effort to recover ground truth from weak, external labels.
We define a parameterized factor function and show that our approach improves over other baselines.}, number={13}, journal={Proceedings of the AAAI Conference on Artificial Intelligence}, author={Pradeep, Prakruthi and Boecking, Benedikt and Gisolfi, Nicholas and Kintz, Jacob R. and Clark, Torin K. and Dubrawski, Artur}, year={2024}, month={Jul.}, pages={16304-16305} }