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Hello, I can't understand your L0 regularization in AdapterBias section after reading the paper, and I can't find the code. Could you please send me the code of L0 regularization in AdapterBias?
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You said in your paper :
“we aim to penalize the L0 norm of these components, i.e., k [𝑊1 , . . . , 𝑊𝐾 ] k 0 . Since the L0 norm is not differ-
entiable, we design a specialized soft counting norm”.…
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Hello, moskomule, I run the L0.pytorch code and get the error above, I don't know what's wrong with me, so ask for your help. The specific error is as follows.
back (most recent call last):
File "…
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Hi, I got an issues with fatal error: boost/graph/properties.hpp: No such file or directory
As you can see below for more detail. Do you have any idea how to setup correct path to the 'Boost Libra…
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As demonstrated in your paper, this algorithm can be applied to images like the famous lena.png. However, I can not figure it out how to organize the 2D images into graph with edges for your algorithm…
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Hello:
I'm trying to realize p-norm version of the ASD-POCS, and complete it with CUDA. the matlab code works well while the CUDA code comes kinds of errors all the time. There maybe comes NaN voxels…
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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. #38
## 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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# Data Normalization 数据标准化
## Reference
- [机器学习中的标准化/归一化](https://blog.csdn.net/index20001/article/details/78044971)
- [ML 入门:归一化、标准化和正则化](https://blog.csdn.net/dengdengma520/article/details/7963…
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Regression (_e.g._ linear regression, logistic regression, poisson regression, etc) is a very important in machine learning. Many problems can be formulated in the form of (regularized) regression.
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triggered by #3622
DiD in the simplest case is just the interaction effect of time and group dummies in OLS
What support to we need? What extensions and related models would be useful?
### asym…