Active Learning on a Budget: Opposite Strategies Suit High and Low Budgets.

Guy Hacohen, Avihu Dekel, Daphna Weinshall

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Scopus citations

Original language	English
Title of host publication	Proceedings of the 39th International Conference on Machine Learning
Publisher	PMLR
Pages	8175-8195
Number of pages	21
Volume	162
ISBN (Electronic)	2640-3498
State	Published - 2022
Event	39th International Conference on Machine Learning, ICML 2022 - Baltimore, United States Duration: 17 Jul 2022 → 23 Jul 2022 https://proceedings.mlr.press/v162/

Name	Proceedings of Machine Learning Research
Publisher	PMLR
Volume	162
ISSN (Electronic)	2640-3498

Conference	39th International Conference on Machine Learning, ICML 2022
Country/Territory	United States
City	Baltimore
Period	17/07/22 → 23/07/22
Internet address	https://proceedings.mlr.press/v162/

Access to Document

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title = "Active Learning on a Budget: Opposite Strategies Suit High and Low Budgets.",

author = "Guy Hacohen and Avihu Dekel and Daphna Weinshall",

year = "2022",

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volume = "162",

series = "Proceedings of Machine Learning Research",

publisher = "PMLR",

pages = "8175--8195",

booktitle = "Proceedings of the 39th International Conference on Machine Learning",

note = "39th International Conference on Machine Learning, ICML 2022 ; Conference date: 17-07-2022 Through 23-07-2022",

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Hacohen, G, Dekel, A & Weinshall, D 2022, Active Learning on a Budget: Opposite Strategies Suit High and Low Budgets. in Proceedings of the 39th International Conference on Machine Learning. vol. 162, Proceedings of Machine Learning Research, vol. 162, PMLR, pp. 8175-8195, 39th International Conference on Machine Learning, ICML 2022, Baltimore, Maryland, United States, 17/07/22. <https://proceedings.mlr.press/v162/hacohen22a.html>

Active Learning on a Budget: Opposite Strategies Suit High and Low Budgets. / Hacohen, Guy; Dekel, Avihu; Weinshall, Daphna.
Proceedings of the 39th International Conference on Machine Learning. Vol. 162 PMLR, 2022. p. 8175-8195 (Proceedings of Machine Learning Research; Vol. 162).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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