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dc.contributor.authorGowda, Sindhu
dc.contributor.authorJoshi, Shalmali
dc.contributor.authorZhang, Haoran
dc.contributor.authorGhassemi, Marzyeh
dc.date.accessioned2022-11-03T17:34:02Z
dc.date.available2022-11-03T17:34:02Z
dc.date.issued2021-10-26
dc.identifier.isbn978-1-4503-8446-9
dc.identifier.urihttps://hdl.handle.net/1721.1/146125
dc.publisherACM|Proceedings of the 30th ACM International Conference on Information and Knowledge Managementen_US
dc.relation.isversionofhttps://doi.org/10.1145/3459637.3482380en_US
dc.rightsCreative Commons Attribution NonCommercial License 4.0en_US
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/en_US
dc.sourceACM|Proceedings of the 30th ACM International Conference on Information and Knowledge Managementen_US
dc.titlePulling Up by the Causal Bootstraps: Causal Data Augmentation for Pre-training Debiasingen_US
dc.typeArticleen_US
dc.identifier.citationGowda, Sindhu, Joshi, Shalmali, Zhang, Haoran and Ghassemi, Marzyeh. 2021. "Pulling Up by the Causal Bootstraps: Causal Data Augmentation for Pre-training Debiasing."
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.contributor.departmentMassachusetts Institute of Technology. Institute for Medical Engineering & Science
dc.identifier.mitlicensePUBLISHER_CC
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2022-11-02T22:12:48Z
dc.language.rfc3066en
dc.rights.holderThe author(s)
dspace.date.submission2022-11-02T22:12:48Z
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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