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[NeurIPS 2020] Disentangling Human Error from the Ground Truth in Segmentation of Medical Images

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Hi, thanks for sharing your implementation. I have two questions about it: 1. Does it also work on tabular data? 2. Is it possible to identify the noisy instances (return...

The GED here is calculated as follows, which is different from the original formula. ged_metric = sum(gt_gt_dist) / len(gt_gt_dist) + sum(seg_seg_dist) / len(seg_seg_dist) + 2 * sum(seg_gt_list) / len(seg_gt_list)

Hi @cheonglok,thanks for your interesting work ! For the trace regularization, I find the paper said, to encourage CMs to be diagonally dominant, "we initialize them with identity matrices by...

Hi thank you for your contribution. The problem I have when running the MNIST_example.ipynb is that it gives me a runtime error: cuDNN error: CUDNN_STATUS_EXECUTION_FAILED. I install the same environment...

Hi, thank you for releasing code of your inspiring work. I have a question related to dataset preparation: 1. For MNIST dataset there are only classification labels, could you share...