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@ericjang Thanks for the good code! I wonder whether we could use gumbel-softmax for clustering under VAE framework (e.g. for Mnist, 392->..->10->..->392, and "10" represents the relaxed categorical distribution). I have tried, but got bad results. Do you have any idea?
The text was updated successfully, but these errors were encountered:
LynnHo
changed the title
About Unsupervised VAE?
About Unsupervised Clustering Under VAE?
Jan 8, 2018
I guess that feature representations learnt by squashing input, e.g. images, into only 10 dimensional categorical variable using encoder-decoder framework will be very sensitive to initial weights of NN because no label information is available in unsupervised learning tasks like clustering.
@ericjang Thanks for the good code! I wonder whether we could use gumbel-softmax for clustering under VAE framework (e.g. for Mnist, 392->..->10->..->392, and "10" represents the relaxed categorical distribution). I have tried, but got bad results. Do you have any idea?
The text was updated successfully, but these errors were encountered: