Talk:Feature learning

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Really needs expansion

This article really needs expansion. Spherical k-means is great but if it's the only method that's given any depth, well the article is not going to give the reader a broad perspective. I'll add a short mention of dictionary learning, but we could really do with more, e.g. from neural networks people.--mcld (talk) 15:08, 28 May 2014 (UTC)[reply]

Be my guest. The reason for the emphasis on clustering is that it's a very simple method, yet one that you don't find in ML textbooks. QVVERTYVS (hm?) 09:23, 30 May 2014 (UTC)[reply]

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For "An analysis of single-layer networks in unsupervised feature learning":

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— Preceding unsigned comment added by 2001:1470:fffd:10c5:ae81:12ff:fe16:3e8b (talk • contribs)

Replaced it, thanks! QVVERTYVS (hm?) 12:42, 24 November 2014 (UTC)[reply]

Embedding / representation / feature learning for text

Lately, a lot of research has been done in the area of text representation learning. Models such as GPT produce very interesting results.

Surveys bellow show the state of research in that area:
https://www.jair.org/index.php/jair/article/view/11259
https://www.mdpi.com/2078-2489/11/11/511

Would this be fitting in here? I could not find a Wikipedia article about text representation, and this article seems like the best option.

Thenotx (talk) 14:30, 5 November 2020 (UTC)[reply]

Wiki Education assignment: Public Writing C1

This article was the subject of a Wiki Education Foundation-supported course assignment, between 8 September 2022 and 21 December 2022. Further details are available on the course page. Student editor(s): Fgpacini (article contribs).