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"In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning" by Mamshad Nayeem Rizve, Kevin Duarte, Yogesh S Rawat, Mubarak Shah (ICLR 2021)

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Hey We are eagerly waiting for updated versions of the code for UCF101 and PascalVOC. Thanks

Great work!. Can you provide the code for the multi-label dataset Pascal VOC for reproducing the result? Wait for your reply. Best regards!

I have an NLP task that does name entity recognition. So the ups framework can be used for this type of task?

Hi, Thanks for sharing the code for your paper. Could you please tell me where I must use the dropout layers in a resnet50 for a classification task on 224x224...

Could you share the multi-label semi-supervised code?

When I run the source code, it gives me the error: pseudo_target = pseudo_target[blnc_idx_list] IndexError: arrays used as indices must be of integer (or boolean) type The error occurs in...

replace .view with .reshape line 41