Closed rtanno21609 closed 4 years ago
…man experts with varying biases & competence levels
Adding the following papers:
2011-NIPS - Bayesian Bias Mitigation for Crowdsourcing. [Paper]
2018-ICLR - Learning From Noisy Singly-labeled Data. [Paper]
2019-CVPR - Learning From Noisy Labels By Regularized Estimation Of Annotator Confusion. [Paper][Code]
2020-NIPS - Disentangling Human Error from the Ground Truth in Segmentation of Medical Images. [Paper] [Code]
…man experts with varying biases & competence levels
Adding the following papers:
2011-NIPS - Bayesian Bias Mitigation for Crowdsourcing. [Paper]
2018-ICLR - Learning From Noisy Singly-labeled Data. [Paper]
2019-CVPR - Learning From Noisy Labels By Regularized Estimation Of Annotator Confusion. [Paper][Code]
2020-NIPS - Disentangling Human Error from the Ground Truth in Segmentation of Medical Images. [Paper] [Code]