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  SoftMatch: Addressing the Quantity-Quality Tradeoff in Semi-supervised Learning

Chen, H., Tao, R., Fan, Y., Wang, Y., Savvides, M., Wang, J., et al. (in press). SoftMatch: Addressing the Quantity-Quality Tradeoff in Semi-supervised Learning. In Eleventh International Conference on Learning Representations. OpenReview.net.

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Genre: Conference Paper
Latex : {SoftMatch}: {A}ddressing the Quantity-Quality Tradeoff in Semi-supervised Learning

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 Creators:
Chen, H.1, Author
Tao, R., Author
Fan, Yue2, Author           
Wang, Y.1, Author
Savvides, M.1, Author
Wang, J.1, Author
Raj, B.1, Author
Xie, X.1, Author
Schiele, Bernt2, Author                 
Affiliations:
1External Organizations, ou_persistent22              
2Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society, ou_1116547              

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Language(s): eng - English
 Dates: 2023
 Publication Status: Accepted / In Press
 Pages: 8 p.
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: Chen_ICLR23
 Degree: -

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Title: Eleventh International Conference on Learning Representations
Place of Event: Kigali, Rwanda
Start-/End Date: 2023-05-01 - 2023-05-05

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Title: Eleventh International Conference on Learning Representations
  Abbreviation : ICLR 2023
Source Genre: Proceedings
 Creator(s):
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Publ. Info: OpenReview.net
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: -