OTK
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claying
A Pytorch implementation of the optimal transport kernel embedding
Hello, thanks for this interesting work! I have a question about the reference numbers in your paper. As far as I understand, the number of references is either set to...
Hi, thanks for your great work! I'm working on a multiple instance leanring problem, where I have some bags of instances, and each bag can have different number of instances....
When using otk_kernel as the network layer, does it play a role similar to the pooling layer, and which layers can be replaced with the best performance?
I added the baseline "Rep the Set" (AISTATS 2020) for NLP. Unsure yet if sufficient for biology or if further code is needed.
