Talk
in
Workshop: Nearest Neighbors for Modern Applications with Massive Data: An Age-old Solution with New Challenges
How to stop worrying and learn to love Nearest Neighbors
Alexei Efros
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Abstract
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Abstract:
Nearest neighbors is an algorithm everyone loves to hate. It's too trivial, too brute-force, doesn't offer any insights. In this talk, I will try to make you fall in love with the humble nearest neighbor. First, I will discuss the use of nearest neighbor as an exceptionally useful baseline to guard against our field's natural bias in favor of elegant algorithms over data. Then, I will discuss some scenarios when nearest neighbors is particularly useful in practice.
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