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This is a general question about reconstructing data after training the VAE, that is, passing the original data into the encoder and decoder...
In the code examples of these VAEs, the reconstructio…
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https://doi.org/10.1101/433763
> Recent advances in deep learning, particularly unsupervised approaches, have shown promise for furthering our biological knowledge through their application to gen…
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# Personality Bias of Music Recommendation Algorithms
* Authors: ALESSANDRO B. MELCHIORRE, EVA ZANGERLE, MARKUS SCHEDL
* Affiliation:
* Link: https://dbis.uibk.ac.at/sites/default/files/2021-0…
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Idea is to have autoencoder trained on entire dataset and take its middle layer (embedding) as a feature to later train classifier on the train set. This is really time consuming and we'll have to use…
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Please post interesting papers here.
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Methodology to review/input
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https://github.com/deezer/fastgae
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Would it be possible to share a dataset link? The existing one in medium doesn't work. It would be really helpful.
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VAE and DAE: basic principles and tools
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Can you please reply what is kl loss kl_loss = 1 / x.size(0) * self.kl_loss() in the loss function. It will be very helpful.