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Hi, thanks for sharing the code!
I have a question on updating the meta learner: in the original paper, the update for meta learner is interpolation between the previous parameter and the parameter…
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Currently, when using a test with Fakes either running it or using it to replay a method, it's throwing with:
UnitTestIsolationException.
I'm not sure how far you guys will be able to go with this, s…
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## 一言でいうと
GANでFew-Shotの生成を行うという研究。複数のタスクを学習することで良い初期値を得るMAMLの改良版であるReptile(#677 )をベースに学習を行なっている。8画像/10stepの学習でバリエーションのある画像の生成ができたとのこと。
### 論文リンク
https://arxiv.org/abs/1901.02199
### 著者/所属機…
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Right now Meta-Curvature seems to be the best performing MAML variant for various few-shot learning tasks. In this technique, they learn precondition matrices for the gradients in the inner loop. I f…
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There's small nuances in how the dynamo runners benchmark models that can make certain torchbench models fail
Some models might be explicitly skipped, others might fail because of some dtype conve…
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### Summary of the new feature / enhancement
As a developer of a binary powershell module I would like to document in inside the C# files, as I'm used to for creating C# libraries.
### Proposed tech…
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This is for test issue
`python test.py`
- [ ] task 1
- [ ] task 2
- [ ] task 3
Incharge @thanhkaist
Issue: #1
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Thank you for the code.
I have a question about the base_learner update.
1. The base-learner is fast updated using 100 steps.
2. then we return qry_logits and calculate the cross entropy loss f…
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I was using TLC/MAML to create my LR model and would then export it to a text file which would show the weights and the bias value. Our subsequent pipeline consumes this file.
We are trying to switch…
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## 🐛 Bug
First of all, congratulations for working at a high level with the interface using learn2learn. The bug is that when a model is trained using the meta learning method and then submitted to…