VisionLearningGroup / SSDA_MME

Semi-supervised Domain Adaptation via Minimax Entropy

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Hyper-parameters used in the tSNE plot

meghbhalerao opened this issue · comments

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Dear Authors,
Thank you for making the code open source! I had a small question while reading the paper. I was wondering if you could let me know the approximate hyper-parameters used while getting the tSNE embeddings as given in the paper, i.e. the perplexity, number of iterations, learning rate among others. I am plotting the tSNE using this function. Please do let me know if it would be possible.
Thanks,
Megh