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  Robustness via Uncertainty-aware Cycle Consistency

Upadhyay, U., Chen, Y., & Akata, Z. (2021). Robustness via Uncertainty-aware Cycle Consistency. In M. Ranzato, A. Beygelzimer, Y. Dauphin, P. Liang, & J. Wortman Vaughan (Eds.), Advances in Neural Information Processing Systems 34 (pp. 28261-28273). Red Hook, NY: Curran Associates, Inc. Retrieved from https://proceedings.neurips.cc/paper_files/paper/2021/hash/ede7e2b6d13a41ddf9f4bdef84fdc737-Abstract.html.

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 Creators:
Upadhyay, Uddeshya 1, Author
Chen, Yanbei1, Author
Akata, Zeynep1, 2, 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: 20212021
 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, NY : Curran Associates, Inc.
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 28261 - 28273 Identifier: ISBN: 978-1-7138-4539-3
URI: https://proceedings.neurips.cc/paper/2021