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TTT
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GaVaMoE: Gaussian-Variational Gated Mixture of Experts for Explainable Recommendation
https://arxiv.org/abs/2410.11841
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**Have you checked the [list of proposed rules](https://github.com/Benjamin-Lee/deep-rules/issues?q=is%3Aissue+is%3Aopen+label%3Arule) to see if the rule has already been proposed?**
- [x] Yes
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http://arxiv.org/pdf/1412.0035v1.pdf
http://arxiv.org/pdf/1506.02753.pdf
The above papers are looking at images as input data, which benefit greatly from convolutional layers, which we currently d…
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作者您好，我在您发表的论文《Interpretable deep learning for automatic diagnosis of 12-lead electrocardiogram》补充材料中的Training and Evaluation部分看到您提到应用了十折交叉验证的方法（一共进行十轮实验，每轮都将8fold用于训练，1fold用来验证，1fold用于测试，最后取10轮的平均值作为结…
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https://www.zhihu.com/question/60067846
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Random links I have visited:
https://towardsdatascience.com/the-mostly-complete-chart-of-neural-networks-explained-3fb6f2367464
https://medium.com/@andrewtch/diy-ai-the-series-597e82131cb2
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🔍 **Deep Dive: "ReAct: Reasoning and Acting with Large Language Models"**
📝 **Summary:**
The authors introduce "ReAct", a method that synergizes reasoning and acting in large language models (LL…
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beta-VAE is also very good ref : http://openreview.net/forum?id=Sy2fzU9gl
Learning an interpretable factorised representation of the independent data gen- erative factors of the world without super…
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That is a very interesting and challenging topic to think about. 😊
A multi-dimensional latent space is an abstract space that encodes a meaningful internal representation of externally observed eve…