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Hi,
thanks for the tutorial. I was working through it and saw `loss = optax.sigmoid_binary_cross_entropy(logits, batch[0]).mean()` for the vanilla autoencoder. I think one should use l2 loss here cau…
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Post a reading of your own that uses deep learning for social science analysis and understanding, with a focus on network, graph, or tabular data.
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## 論文タイトル(原文まま)
End-to-End Text-to-Speech Synthesis with Conditional Variational Autoencoders and Adversarial Learning
## 一言でいうと
条件付き変分オートエンコーダー(VAE)と対立学習(GAN)を使用して、テキストから直接自然な音声を生成するエンドツーエンドのテキス…
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We resubmitted version [0.10](https://github.com/greenelab/deep-review/releases/tag/v0.10) to the _Journal of the Royal Society Interface_ and *bioRxiv*. Thanks everyone for all the great work on the…
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**Submitting author:** @mrazomej (Manuel Razo-Mejia)
**Repository:** https://github.com/mrazomej/AutoEncoderToolkit.jl
**Branch with paper.md** (empty if default branch): publication
**Version:** v0.0…
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Starting this thread as a place for discussion on how we can continue the journey.
I don't have a solution (yet) but I am just posting my findings.
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I just saw the recent announcement:
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@mirams posted https://arxiv.org/abs/1905.12090
Someone should have a quick look at this
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## Keyword: detection
### Neural Motion Fields: Encoding Grasp Trajectories as Implicit Value Functions
- **Authors:** Authors: Yun-Chun Chen, Adithyavairavan Murali, Balakumar Sundaralingam, Wei Ya…
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I believe the current lack of easy access to VAE training is stopping diffusion models from disrupting even more industries.
I'm talking about consistent details on things that are less represente…