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The Ethereal
Search Improves Label for Active Learning
February 23, 2016 ยท Declared Dead ยท ๐ Neural Information Processing Systems
"No code URL or promise found in abstract"
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Authors
Alina Beygelzimer, Daniel Hsu, John Langford, Chicheng Zhang
arXiv ID
1602.07265
Category
cs.LG: Machine Learning
Cross-listed
stat.ML
Citations
28
Venue
Neural Information Processing Systems
Last Checked
3 months ago
Abstract
We investigate active learning with access to two distinct oracles: Label (which is standard) and Search (which is not). The Search oracle models the situation where a human searches a database to seed or counterexample an existing solution. Search is stronger than Label while being natural to implement in many situations. We show that an algorithm using both oracles can provide exponentially large problem-dependent improvements over Label alone.
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