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  Iterative Teaching by Label Synthesis

Liu, W., Liu, Z., Wang, H., Paull, L., Schölkopf, B., & Weller, A. (2022). Iterative Teaching by Label Synthesis. In M. Ranzato, A. Beygelzimer, Y. Dauphin, P. Liang, & J. Wortman Vaughan (Eds.), Advances in Neural Information Processing Systems 34 (pp. 21681-21695). Red Hook, NY: Curran Associates, Inc.

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Genre: Conference Paper

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OA-Status:
Miscellaneous
Description:
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OA-Status:
Green

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 Creators:
Liu, Weiyang1, 2, Author           
Liu, Zhen 2, Author
Wang, Hanchen 2, Author
Paull, Liam 2, Author
Schölkopf, Bernhard1, Author                 
Weller, Adrian 2, Author
Affiliations:
1Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497647              
2External Organizations, ou_persistent22              

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Free keywords: Abt. Schölkopf
 Abstract: -

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Language(s): eng - English
 Dates: 2021-122022
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: Liuetal21c
 Degree: -

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Title: 35th Conference on Neural Information Processing Systems (NeurIPS 2021)
Place of Event: Online
Start-/End Date: 2021-12-06 - 2021-12-14

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Title: Advances in Neural Information Processing Systems 34
  Subtitle : 35th Conference on Neural Information Processing Systems (NeurIPS 2021)
Source Genre: Proceedings
 Creator(s):
Ranzato, M.1, Editor
Beygelzimer, A.1, Editor
Dauphin, Y.1, Editor
Liang, P.S.1, Editor
Wortman Vaughan, J.1, Editor
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: Red Hook, NY : Curran Associates, Inc.
Pages: - Volume / Issue: 26 Sequence Number: - Start / End Page: 21681 - 21695 Identifier: ISBN: 978-1-7138-4539-3
URI: https://proceedings.neurips.cc/paper_files/paper/2021
ISBN: 9781713845393
URI: https://proceedings.neurips.cc/paper/2021