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Active Learning with Label Proportions

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publication2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings
Publisher or commissioning bodyInstitute of Electrical and Electronics Engineers (IEEE)
Pages3097-3101
Number of pages5
ISBN (Electronic)9781479981311
ISBN (Print)9781479981328
DOIs
DateAccepted/In press - 1 Feb 2019
DateE-pub ahead of print - 17 Apr 2019
DatePublished (current) - 1 May 2019
Event44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Brighton, United Kingdom
Duration: 12 May 201917 May 2019

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume2019-May
ISSN (Print)1520-6149

Conference

Conference44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019
CountryUnited Kingdom
CityBrighton
Period12/05/1917/05/19

Abstract

Active Learning (AL) refers to the setting where the learner has the ability to perform queries to an oracle to acquire the true label of an instance or, sometimes, a set of instances. Even though Active Learning has been studied extensively, the setting is usually restricted to assume that the oracle is trustworthy and will provide the actual label. We argue that, while common, this approach can be made more flexible to account for different forms of supervision. In this paper, we propose a new framework that allows the algorithm to request the label for a bag of samples at a time. Although this label will come in the form of proportions of class labels in the bags and therefore encode less information, we demonstrate that we can still learn effectively.

    Research areas

  • Active learning, label proportions, label propagation

Event

44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019

Duration12 May 201917 May 2019
CityBrighton
CountryUnited Kingdom
SponsorsThe Institute of Electrical and Electronics Engineers Signal Processing Society (External organisation)

Event: Conference

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Documents

  • Full-text PDF (accepted author manuscript)

    Rights statement: This is the author accepted manuscript (AAM). The final published version (version of record) is available online via IEEE at https://ieeexplore.ieee.org/document/8682748 . Please refer to any applicable terms of use of the publisher.

    Accepted author manuscript, 307 KB, PDF document

DOI

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