Publication:

Mitigating Bias Using Model-Agnostic Data Attribution

Date

2024
Proceedings Paper
https://doi.org/10.1109/CVPRW63382.2024.00028
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dc.contributor.authorDe Coninck, Sander
dc.contributor.authorLeroux, Sam
dc.contributor.authorSimoens, Pieter
dc.contributor.imecauthorDe Coninck, Sander
dc.contributor.imecauthorLeroux, Sam
dc.contributor.imecauthorSimoens, Pieter
dc.contributor.orcidimecDe Coninck, Sander::0000-0003-3070-9814
dc.contributor.orcidimecLeroux, Sam::0000-0003-3792-5026
dc.contributor.orcidimecSimoens, Pieter::0000-0002-9569-9373
dc.date.accessioned2025-08-18T08:49:53Z
dc.date.available2025-03-06T20:47:29Z
dc.date.available2025-03-07T09:08:43Z
dc.date.available2025-08-18T08:49:53Z
dc.date.embargo2024-09-27
dc.date.issued2024
dc.description.wosFundingTextSander De Coninck receives funding from the Special Research Fund of Ghent University under grant no. BOF22/DOC/093. This research received funding from the Flemish Government under the "Onderzoeksprogramma Artificiele Intelligentie (AI) Vlaanderen" programme.
dc.identifier.doi10.1109/CVPRW63382.2024.00028
dc.identifier.eisbn979-8-3503-6547-4
dc.identifier.issn2160-7508
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/45347
dc.publisherIEEE COMPUTER SOC
dc.source.beginpage235
dc.source.conferenceIEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
dc.source.conferencedateJUN 16-22, 2024
dc.source.conferencelocationSeattle
dc.source.endpage243
dc.source.journalN/A
dc.source.numberofpages9
dc.title

Mitigating Bias Using Model-Agnostic Data Attribution

dc.typeProceedings paper
dspace.entity.typePublication
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