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StatsBase.jl defines a type called `StatisticalModel`. This type (and possibly a few others) should define the interface for a broad class of models in statistics and machine learning. Just as the Dis…
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Basic idea is to create generative model with such structure that would allow to disentangle features in our datasets.
Particularly disentangle variability in gene expressions coming from tumor type …
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Post your questions here about: “Image Learning” & “Audio and Video Learning”, Thinking with Deep Learning, Chapters 13 & 14.
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Hi
Thanks for publishing the code in Pytorch ! I have a few questions however.
[1] for the loss associated with the auxilliary classifier fc you are using `NLL Loss` but the last layer is `Softma…
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Hi there,
Thanks for your interest in our paper! The poor performance on the Music dataset is mainly caused by the classifier. You can try to add two Batch Norm before the two linear layers.
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We have been exploring SimCLR as an auxiliary loss, but one could also just train SimCLR *directly*, skipping GANs entirely. One could probably use the official Google codebase, which already has TPU …
gwern updated
9 months ago
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MAGVLT: based on **non-autoregressive** mask prediction.
- enables bidirectional context encoding, fast decoding by parallel token predictions in an iterative refinement
- extended editing capabilit…
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Here are a few things I found related to the use of the generative models to obtain synthetic medical data.
## Bibliography
- **Synthesis in Multi-Contrast MRI with Conditional Generative Adver…
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작성: 2022.10.20.
논문 링크 [link](https://arxiv.org/pdf/2210.09276v1.pdf).
**읽은 이유**
- DeepMonitor [link](https://deeplearn.org/) 의 top recent (1 month) 기준 트렌드 3위.
- 1위에 있는 Human diffusion mode…
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Hi:
Thanks for your greate work! There are some problems when we use your code [(supplementary materials)](https://openreview.net/attachment?id=hHUZ5V9XFu&name=supplementary_material) to train a mo…