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  Detecting and Mitigating Test-time Failure Risks via Model-agnostic Uncertainty Learning

Lahoti, P., Gummadi, K., & Weikum, G. (2022). Detecting and Mitigating Test-time Failure Risks via Model-agnostic Uncertainty Learning. In J. Bailey, P. Miettinen, Y. S. Koh, D. Tao, & X. Wu (Eds.), 21st IEEE International Conference on Data Mining (pp. 1174-1179). Piscataway, NJ: IEEE. doi:10.1109/ICDM51629.2021.00141.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000A-5E15-6 Version Permalink: https://hdl.handle.net/21.11116/0000-000A-5E16-5
Genre: Conference Paper

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 Creators:
Lahoti, Preethi1, Author           
Gummadi, Krishna2, Author           
Weikum, Gerhard1, Author           
Affiliations:
1Databases and Information Systems, MPI for Informatics, Max Planck Society, ou_24018              
2External Organizations, ou_persistent22              

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Language(s): eng - English
 Dates: 2021-09-0920222022
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: Gummadi_ICDM21
DOI: 10.1109/ICDM51629.2021.00141
 Degree: -

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Title: 21st IEEE International Conference on Data Mining
Place of Event: Auckland, New Zealand (Virtual Conference)
Start-/End Date: 2021-12-07 - 2021-12-10

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Project name : FairSocialComputing
Grant ID : 789373
Funding program : Horizon 2020 (H2020)
Funding organization : European Commission (EC)
Project name : imPACT
Grant ID : 610150
Funding program : Funding Programme 7 (FP7)
Funding organization : European Commission (EC)

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Title: 21st IEEE International Conference on Data Mining
  Abbreviation : ICDM 2021
Source Genre: Proceedings
 Creator(s):
Bailey, James1, Editor
Miettinen, Pauli1, Editor           
Koh, Yun Sing1, Editor
Tao, Dacheng1, Editor
Wu, Xindong1, Editor
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: Piscataway, NJ : IEEE
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 1174 - 1179 Identifier: ISBN: 978-1-6654-2398-4