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Hi THUNLP:
Thanks a lot for the curated list! Here are three papers from NIPS this year, which maybe of interest to the audience. Thanks!
http://papers.nips.cc/paper/7729-hierarchical-graph-repr…
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Variational CAE need to be implemented based on the networks we have right now. This post describes how this should be done:
http://kvfrans.com/variational-autoencoders-explained/
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When I run the examples, such as 'python -m examples.variational_autoencoders.vae' and 'python -m examples.bayesian_neural_nets.bayesian_nn', I will get the error "AttributeError: module 'progressbar'…
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this is somewhat a follow up question to Using [Autoencoders in btgym architecture](https://github.com/Kismuz/btgym/issues/74).
I'm interested in experimenting with your research algo "Stacked LSTM…
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has anyone in the community looked into, or is in the process of development more advanced dl4j models, such as sum-product networks, residual networks, or generative adversarial networks? I am just a…
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Not really a real issue more sort of a question about feasibility.
Sure the encoder/decoder part of variational auto encoder shouldn't be too hard to implement although I guess you would have to crea…
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As we move beyond classical problems like ImageNet classification, we are starting to develop a need for more problem-specific objective functions. We currently have to implement a new derived class f…
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In the top docstring of generator.py, you mentioned that
```
The inference-generator architecture is conceptually
similar to the encoder-decoder pair seen in variational
autoencoders.
```
I d…
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Hi,
I have one question regarding the inference/prediction method "getRecon" (RobustAutoencoder/model/l21RobustDeepAutoencoder.py or RobustAutoencoder/experiments/Outlier Detection/RDAE_tensorflow…
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Training RBM doesn't seem to produce any effect. It stays on the same score level forever. It seems like it's been broken for a while now, since the following Stack Overflow question hasn't been answe…