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## Why
Machine Learning 輪講は最新の技術や論文を追うことで、エンジニアが「技術で解決できること」のレベルをあげていくことを目的にした会です。
prev. #18
## What
話したいことがある人はここにコメントしましょう!
面白いものを見つけた時点でとりあえず話すという宣言だけでもしましょう!
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1. [Binary Relevance Efficacy for Multilabel Classification](https://link.springer.com/article/10.1007/s13748-012-0030-x) > https://github.com/Gin04gh/datascience/issues/6#issuecomment-419388287
1. […
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# Several questions about the network and tha data
Hello! I have 3 questions about ODAADA to ask you for help.
First, when I use your `UNet_DA` code in the [repo](https://github.com/YonghengSun1…
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=== Evaluating classifier for encoded target domain ===
>>> only source > source and target
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https://medium.com/vithelper/spatial-and-frequency-domain-image-processing-83ffa3fc7cbc
https://homepages.inf.ed.ac.uk/rbf/HIPR2/fourier.htm
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Thank you for sharing your code about AdaBN. I am wondering whether this code is for supervised learning or unsupervised learning if Xt and yt are provided? (Will Xt and yt are used in training) I app…
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https://arxiv.org/pdf/1704.01705v1.pdf
Visual Domain adaptation is an actively researched problem in Computer Vision. In this work, we propose an approach that leverages unsupervised data to bring …
leo-p updated
7 years ago
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Hi @vasgaowei, thanks for meticulously maintaining this informative repository!
To further enhance the comprehensiveness of this repository, I would like to recommend the following papers under the…
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Hi Jin,
thanks for the refreshing work. I have a question regarding the split of target domain into training set and test set in the S→U and E→H evaluation.
As UCF101 and HMDB51 both have 3 split…
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[Improved text ranking with few shot prompting](https://blog.vespa.ai/improving-text-ranking-with-few-shot-prompting/)
- This blog post discusses using large language models (LLMs) to generate labe…