🏢 China University of Geosciences

KFNN dynamically determines optimal neighborhood sizes for label integration in crowdsourcing, significantly boosting accuracy and robustness, especially with limited noisy labels.

IWBVT: A novel instance weighting approach significantly improves model quality in crowdsourcing by mitigating the impact of intractable instances and achieving a bias-variance trade-off.