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Published 20 hours ago • verified publisher icon dd1github
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Pytorch implementation of "DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data".

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How to convert

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The final generated TXT file, MNIST data set is a picture data set, may I ask how to convert the generated file into a picture?

dongyou123 avatar dongyou123

Results on MNIST

Hi, In your paper, you mentioned that DeepSMOTE could give around 96% ACSA on MNIST. Could you provide the testing scripts for that? I used your checkpoint for encoder/decoder but...

mnzhao avatar mnzhao

Penalty loss seems to be no different from reconstruction loss

It seems that your penalty loss is in a batch of images (xclass) and reordering them (x_new). Then xclass is reordered through the latent code of the encoder. The two...

Joechen0130 avatar Joechen0130

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verified publisher icon dd1github

Metadata

Pytorch implementation of "DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data".

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