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## Keyword: sgd
### A Convergence Theory for Federated Average: Beyond Smoothness
- **Authors:** Authors: Xiaoxiao Li, Zhao Song, Runzhou Tao, Guangyi Zhang
- **Subjects:** Machine Learning (cs.LG);…
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### Is there an existing issue for this?
- [X] I have searched the existing issues
### Feature Description
This project implements Neural Style Transfer (NST), a deep learning technique that applie…
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Hello everyone! First, I just want to say that at work we almost exclusively use Jupyter as our data science platform and appreciate everything that the community and the Jupyter team has done to crea…
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Gentlemen, as we may have more time on our hands I thought I'd resurrect this project. Speaking to Phil, he casually mentioned the programming in "Golang". In the tiniest bit of googling, I happened…
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# Summary of your issue
I've got tens of thousands of images with hundreds if not thousands of distinct individuals. What I would like to do is similar to what Google Picasa used to provide - have t…
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I was interested in working on the "Overfitting ability of recurrent networks" project for non-image classification task. However, I noticed on the website that there is someone already working on it.…
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## ❓ Questions and Help
I'm currently using Ceres with the following options:
```cpp
linear_solver_type = ceres::DENSE_NORMAL_CHOLESKY;
minimizer_type = TRUST_REGION;
trust_region_strategy_type =…
Muon2 updated
5 months ago
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8th plase: DeepLabV3 with different encoders.
Group Normalization for small batch
Mask threshold (due to bad metric)
Weighted BCE loss for classification-segmentation models.
Ensemble of 3 top we…
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Instead of training on all game data indiscriminately, use the prior-Q and prior-policy recorded values to deduce how "unexpected" the actual played move was. If we filter for all the interesting move…
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it would be really neat to be able to search for ads that use an image (e.g. a news photo or a meme) OR group ads that use the same image.
The way to do this would likely be to -- at some point -- …