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  Projected GANs Converge Faster

Sauer, A., Chitta, K., Müller, J., & Geiger, A. (2022). Projected GANs Converge Faster. In M. Ranzato, A. Beygelzimer, Y. Dauphin, P. Liang, & J. Wortman Vaughan (Eds.), Advances in Neural Information Processing Systems 34 (NeurIPS 2021) (pp. 17480-17492). Red Hook, NY: Curran Associates, Inc. Retrieved from https://proceedings.neurips.cc/paper_files/paper/2021/hash/9219adc5c42107c4911e249155320648-Abstract.html.

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OA-Status:
Miscellaneous
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OA-Status:
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 Creators:
Sauer, Axel1, 2, Author
Chitta, Kashyap1, 2, Author           
Müller, Jens2, Author
Geiger, Andreas1, 2, Author           
Affiliations:
1Max Planck Research Group Autonomous Vision, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_2344692              
2External Organizations, ou_persistent22              

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Free keywords: Forschungsgruppe Geiger
 Abstract: -

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Language(s): eng - English
 Dates: 20212022
 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 (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: 34 Sequence Number: - Start / End Page: 17480 - 17492 Identifier: ISBN: 978-1-7138-4539-3
URI: https://proceedings.neurips.cc/paper_files/paper/2021