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Leveraging unlabeled data

Published: 22 May 2020 Publication History

Abstract

Deep learning looks for better pretexts.

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  • (2022)Establishing Data Provenance for Responsible Artificial Intelligence SystemsACM Transactions on Management Information Systems10.1145/350348813:2(1-23)Online publication date: 10-Mar-2022

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cover image Communications of the ACM
Communications of the ACM  Volume 63, Issue 6
June 2020
89 pages
ISSN:0001-0782
EISSN:1557-7317
DOI:10.1145/3402158
Issue’s Table of Contents
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 22 May 2020
Published in CACM Volume 63, Issue 6

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  • (2022)Establishing Data Provenance for Responsible Artificial Intelligence SystemsACM Transactions on Management Information Systems10.1145/350348813:2(1-23)Online publication date: 10-Mar-2022

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