Methods › General › Self-Supervised Learning › Internet Explorer
Internet Explorer
Introduced by Alexander C. Li et al. in Internet Explorer: Targeted Representation Learning on the Open Web
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
Internet Explorer explores the web in a self-supervised manner to progressively find relevant examples that improve performance on a desired target dataset. It cycles between searching for images on the Internet with text queries, self-supervised training on downloaded images, determining which images were useful, and prioritizing what to search for next.
Papers archive 2025-07-28
1 shown of 1, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.
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Internet Explorer: Targeted Representation Learning on the Open Web 27 Feb 2023 · 1 repository · arXiv:2302.14051
Tasks archive 2025-07-28
4 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
| Task | Papers |
|---|---|
| Classification | 1 |
| GPU | 1 |
| Representation Learning | 1 |
| Self-Supervised Learning | 1 |
Usage over time archive 2025-07-28
Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).
Categories archive 2025-07-28
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections