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Hyperspherical Prototype Networks
Pascal Mettes, Elise van der Pol, Cees Snoek
Neural Information Processing Systems http://nips.cc/
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Manifold Structured Prediction
Alessandro Rudi, Carlo Ciliberto, GianMaria Marconi, Lorenzo Rosasco
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Fast Similarity Search via Optimal Sparse Lifting
Wenye Li, Jingwei Mao, Yin Zhang, Shuguang Cui
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7990ec44fcf3d7a0e5a2add28362213c-Paper.pdf
We propose in this paper a general framework for deriving loss functions for structured prediction. Inourframework,theuserchooses aconvexsetincluding the output space and provides an oracle forprojectingonto that set.
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