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Thank you for your work, it's very interesting, but I have a question.
Is it okay to perform semi-supervised attention when your teacher's data augmentation and your student's data augmentation are…
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http://delivery.acm.org/10.1145/2810000/2806628/p1907-wang.pdf?ip=131.112.138.2&id=2806628&acc=ACTIVE%20SERVICE&key=D2341B890AD12BFE%2EE857D5F645C75AE5%2E4D4702B0C3E38B35%2E4D4702B0C3E38B35&CFID=84032…
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In the implementation details section of your paper, A.1 you mentioned that you use the same general experiment structure for Fixmatch and other competing methods. Where can I find the relevant sectio…
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Hi, I tried to use `SemiBaseDetector` to improve the performance of RTMDet using additional unlabeled data. But I found the teacher model gives an empty prediction while the student model can reach 59…
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논문 제목: Big Self-Supervised Models are Strong Semi-Supervised Learners
발표 자료: https://docs.google.com/presentation/d/1IKVPUB20qOMJxT1Wg-ex4DMqGMRK9IVL/edit?usp=sharing&ouid=101301166083043797471&rtpo…
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- Normalised was successfully installed using pip
- normalise function not recognized in the code
- I tried "Import normalise" , received the following error: 'sklearn.semi_supervised.label_propagat…
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## 综述
- Awesome Semi-Supervised Learning
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## author
Martin Trapp, Tamas Madl, Robert Peharz, Franz Pernkopf, Robert Trappl
## date
(Submitted on 10 Oct 2017)
## abstract
>In several domains obtaining class annotations is expensive …
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## 一言でいうと
テキスト分類を行う際に、単語のone-hotではなく埋め込み表現に摂動を挿入し正則化効果を得る手法。加える摂動は分類を邪魔できたかと、元のデータとどれだけ離せたかの2種で検証(前者は教師ラベルが必要だが、後者は不要になる)。教師なしの後者でも十分な効果があることを確認。また、併用も可能。
### 論文リンク
https://arxiv.org/abs/1605…
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## 一言でいうと
粗いラベル(ルールでつけたラベルや明示的でないラベル(ハッシュタグetc))を使用するWeakly supervisedと、学習済みモデルで疑似ラベルをつけて学習するSemi-supervisedを融合させた研究。Weakで学習+少数のlabelでFine tuneしたTeacherで疑似ラベルを付けて、StudentのSemi-superviseを行うという構成
…