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  Optimizing Rank-based Metrics with Blackbox Differentiation

Rolínek, M., Musil, V., Paulus, A., Vlastelica, M., Michaelis, C., & Martius, G. (2020). Optimizing Rank-based Metrics with Blackbox Differentiation. In 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020) (pp. 7617-7627). Piscataway, NJ: IEEE. doi:10.1109/CVPR42600.2020.00764.

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Genre: Conference Paper

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https://doi.org/10.1109/CVPR42600.2020.00764 (Publisher version)
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Creators

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 Creators:
Rolínek, Michal1, Author           
Musil, Vít2, Author
Paulus, Anselm1, Author           
Vlastelica, Marin1, Author           
Michaelis, Claudio2, Author
Martius, Georg1, Author           
Affiliations:
1Max Planck Research Group Autonomous Learning, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_2575693              
2External Organizations, ou_persistent22              

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Free keywords: Forschungsgruppe Martius
 Abstract: -

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Language(s): eng - English
 Dates: 2020-08-052020-10
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Degree: -

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Title: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020)
Place of Event: Seattle, WA
Start-/End Date: 2020-06-14 - 2020-06-19

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Title: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020)
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: Piscataway, NJ : IEEE
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 7617 - 7627 Identifier: DOI: 10.1109/CVPR42600.2020
ISBN: 978-1-7281-7168-5
ISBN: 978-1-7281-7169-2
ISSN: 2575-7075
ISSN: 1063-6919