Skip to content

Active Learning with Label Proportions

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

Standard

Active Learning with Label Proportions. / Poyiadzi, Rafael; Santos-Rodriguez, Raul; Twomey, Niall.

2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings. Institute of Electrical and Electronics Engineers (IEEE), 2019. p. 3097-3101 8682748 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; Vol. 2019-May).

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

Harvard

Poyiadzi, R, Santos-Rodriguez, R & Twomey, N 2019, Active Learning with Label Proportions. in 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings., 8682748, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, vol. 2019-May, Institute of Electrical and Electronics Engineers (IEEE), pp. 3097-3101, 44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019, Brighton, United Kingdom, 12/05/19. https://doi.org/10.1109/ICASSP.2019.8682748

APA

Poyiadzi, R., Santos-Rodriguez, R., & Twomey, N. (2019). Active Learning with Label Proportions. In 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings (pp. 3097-3101). [8682748] (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; Vol. 2019-May). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICASSP.2019.8682748

Vancouver

Poyiadzi R, Santos-Rodriguez R, Twomey N. Active Learning with Label Proportions. In 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings. Institute of Electrical and Electronics Engineers (IEEE). 2019. p. 3097-3101. 8682748. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). https://doi.org/10.1109/ICASSP.2019.8682748

Author

Poyiadzi, Rafael ; Santos-Rodriguez, Raul ; Twomey, Niall. / Active Learning with Label Proportions. 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings. Institute of Electrical and Electronics Engineers (IEEE), 2019. pp. 3097-3101 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

Bibtex

@inproceedings{ae0055cbea4a411aa0d2fcf4af16da87,
title = "Active Learning with Label Proportions",
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.",
keywords = "Active learning, label proportions, label propagation",
author = "Rafael Poyiadzi and Raul Santos-Rodriguez and Niall Twomey",
year = "2019",
month = "5",
day = "1",
doi = "10.1109/ICASSP.2019.8682748",
language = "English",
isbn = "9781479981328",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers (IEEE)",
pages = "3097--3101",
booktitle = "2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings",
address = "United States",

}

RIS - suitable for import to EndNote

TY - GEN

T1 - Active Learning with Label Proportions

AU - Poyiadzi, Rafael

AU - Santos-Rodriguez, Raul

AU - Twomey, Niall

PY - 2019/5/1

Y1 - 2019/5/1

N2 - 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.

AB - 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.

KW - Active learning

KW - label proportions

KW - label propagation

UR - http://www.scopus.com/inward/record.url?scp=85068983825&partnerID=8YFLogxK

U2 - 10.1109/ICASSP.2019.8682748

DO - 10.1109/ICASSP.2019.8682748

M3 - Conference contribution

SN - 9781479981328

T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

SP - 3097

EP - 3101

BT - 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings

PB - Institute of Electrical and Electronics Engineers (IEEE)

ER -