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The Power of Asymmetry in Binary Hashing
Behnam Neyshabur · Nati Srebro · Russ Salakhutdinov · Yury Makarychev · Payman Yadollahpour

Thu Dec 05 07:00 PM -- 11:59 PM (PST) @ Harrah's Special Events Center, 2nd Floor
When approximating binary similarity using the hamming distance between short binary hashes, we shown that even if the similarity is symmetric, we can have shorter and more accurate hashes by using two distinct code maps. I.e.~by approximating the similarity between $x$ and $x'$ as the hamming distance between $f(x)$ and $g(x')$, for two distinct binary codes $f,g$, rather than as the hamming distance between $f(x)$ and $f(x')$.

Author Information

Behnam Neyshabur (TTI Chicago)
Nati Srebro (TTI-Chicago)
Russ Salakhutdinov (Carnegie Mellon University)
Yury Makarychev (TTI Chicago)
Payman Yadollahpour (TTI Chicago)

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