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The current implementation uses
`F.binary_cross_entropy(recon_x, x.view(-1, 784), reduction='sum')`
as the reconstruction loss. The image `x` has pixel values in `[0,1]`. This is not the same …
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Hello @Michaelvll, @arminarj
I am using the DeepCCA objective in a variational autoencoder setting.
I use
U, D, Vh = torch.linalg.svd(Tval) so i can getthe U and Vh together with SigmaHat11Roo…
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https://arxiv.org/pdf/1312.6114.pdf
http://blog.fastforwardlabs.com/2016/08/22/under-the-hood-of-the-variational-autoencoder-in.html
"We would like to make parameter updates using small mini-bat…
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https://hsinjhao.github.io/2019/05/22/KL-DivergenceIntroduction/#more
KL散度简介KL散度的概念来源于概率论和信息论中。KL散度又被称为：相对熵、互熵、鉴别信息、Kullback熵、Kullback-Leible散度(即KL散度的简写)。在机器学习、深度学习领域中，KL散度被广泛运用于变分自编码器中(Variational…
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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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intel-analytics/analytics-zoo#10 start app test for using_variational_autoencoder_and_deep_feature_loss_to_generate_faces
~~~
2021-10-13 01:37:00 WARN Utils:66 - Service 'SparkUI' could not bind on…
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### References
- http://ruishu.io/2016/12/25/gmvae/
- http://nbviewer.jupyter.org/github/RuiShu/vae-clustering/blob/master/experiments.ipynb
- https://github.com/dpkingma/nips14-ssl
### Citations
- D…
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This *may* not be the best framework for it, but it would be a good exercise to see how it looks compared to competing frameworks, e.g. Keras, Edward.
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I have just read the paper and moved into the source code. I was wondering what they are "psi", "H", "iw", and "vec", "star"
Could you kindly provide a explanation？
Thank you very much!! :)
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Hi, I hope I'm not bothering you. Recently, I have implemented a simple autoencoder with keras for text classification to do domain adaptation, but it performs worse than the original representation o…