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pyTorch autoencoder for unsupervised classification: loss not changing

I'm new to pyTorch. I want to use the autoencoder concept to get an unsupervised classification. It seems like you should be able to use the minimum dimension from the autoencoder as input to a ...
Wick's user avatar
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2 votes
1 answer
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Importance weighted autoencoder doing worse than VAE

I've been implementing VAE and IWAE models on the caltech silhouettes dataset and am having an issue where the VAE outperforms IWAE by a modest margin (test LL ~120 for VAE, ~133 for IWAE!). I don't ...
magikarp's user avatar