Internet Explorer

2000년 도입 · 논문 1편에서 사용

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.

출처: Internet Explorer: Targeted Representation Learning on the Open Web

소개 논문: Internet Explorer: Targeted Representation Learning on the Open Web