Curriculum Learning Strategies for IR-Reference-Cited by-同舟云学术

Curriculum Learning Strategies for IR

Published:2020 Issue: Volume: Page:699-713
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Penha Gustavo,Hauff Claudia

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-45439-5_46

Reference62 articles.

1. Bengio, Y., Louradour, J., Collobert, R., Weston, J.: Curriculum learning. In: ICML, pp. 41–48 (2009)

2. Breiman, L.: Arcing classifier. Ann. Stat. 26(3), 801–849 (1998)

3. Burges, C.J.: From ranknet to lambdarank to lambdamart: an overview. Learning 11(23–581), 81 (2010)

4. Chang, H.S., Learned-Miller, E., McCallum, A.: Active bias: training more accurate neural networks by emphasizing high variance samples. In: NeurIPS, pp. 1002–1012 (2017)

5. Chen, X., Gupta, A.: Webly supervised learning of convolutional networks. In: ICCV, pp. 1431–1439 (2015)

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