1.0Microsoft Researchhttps://www.microsoft.com/en-us/researchLihong Lihttps://www.microsoft.com/en-us/research/people/lihongli/Active Learning with Oracle Epiphany - Microsoft Researchrich600338<blockquote class="wp-embedded-content" data-secret="wOgM9muPDJ"><a href="https://www.microsoft.com/en-us/research/publication/active-learning-oracle-epiphany/">Active Learning with Oracle Epiphany</a></blockquote><iframe sandbox="allow-scripts" security="restricted" src="https://www.microsoft.com/en-us/research/publication/active-learning-oracle-epiphany/embed/#?secret=wOgM9muPDJ" width="600" height="338" title="“Active Learning with Oracle Epiphany” — Microsoft Research" data-secret="wOgM9muPDJ" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"></iframe><script type="text/javascript">
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We present a theoretical analysis of active learning with more realistic interactions with human oracles. Previous empirical studies have shown oracles abstaining on difficult queries until accumulating enough information to make label decisions. We formalize this phenomenon with an “oracle epiphany model” and analyze active learning query complexity under such oracles for both the realizable […]