pytorch-classification-uncertainty
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dougbrion
This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"
Torch.lgamma(1)=0 and no such term in the original paper
I use the edl loss to train in mini-imagenet dataset with 64 classes, but the loss can't converge and the accuracy is very low.
Thank you very much for a nice work. I want to train on CIFAR10 dataset use resnet20, the model needs to train 300 epochs, I don't know if I need...
hi guys, nice work! However, maybe you forget to make torch.eye to device in `one_hot_embedding`? Modified `one_hot_embedding` in `helpers.py` as ```python def one_hot_embedding(labels, num_classes=10): # Convert to One Hot Encoding...
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Hi, thanks for your excellent work. But I can't understand the derived loss function, and the proof is provided in the supplementary material. So where can I download it?
