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  Locality Sensitive Teaching

Xu, Z., Chen, B., Li, C., Liu, W., Song, L., Lin, Y., et al. (2022). Locality Sensitive Teaching. In M. Ranzato, A. Beygelzimer, Y. Dauphin, P. Liang, & J. Wortman Vaughan (Eds.), Advances in Neural Information Processing Systems 34 (pp. 18049-18062). Red Hook, NJ: Curran Associates, Inc. Retrieved from https://proceedings.neurips.cc/paper_files/paper/2021/hash/95c3f1a8b262ec7a929a8739e21142d7-Abstract.html.

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Description:
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OA-Status:
Gold
Description:
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OA-Status:
Green

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 Creators:
Xu, Zhaozhuo1, Author
Chen, Beidi1, Author
Li, Chaojian1, Author
Liu, Weiyang1, 2, Author           
Song, Le1, Author
Lin, Yingyan1, Author
Shrivastava, Anshumali1, Author
Affiliations:
1External Organizations, ou_persistent22              
2Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497647              

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Free keywords: Abt. Schölkopf
 Abstract: -

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Language(s): eng - English
 Dates: 20212022-05
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 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, NJ : Curran Associates, Inc.
Pages: - Volume / Issue: 22 Sequence Number: - Start / End Page: 18049 - 18062 Identifier: ISBN: 978-1-7138-4539-3
URI: https://proceedings.neurips.cc/paper_files/paper/2021