Loss Functions for Top-k Error: Analysis and Insights Maksim Lapin,1 Matthias Hein2 and Bernt Schiele1 1 Max Planck Institute for Informatics, Saarbrücken, Germany 2 Saarland University, Saarbrücken, Germany

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Date: 2016-08-17 07:37:16		Loss Functions for Top-k Error: Analysis and Insights Maksim Lapin,1 Matthias Hein2 and Bernt Schiele1 1 Max Planck Institute for Informatics, Saarbrücken, Germany 2 Saarland University, Saarbrücken, Germany Add to Reading List Source URL: resources.mpi-inf.mpg.de Download Document from Source Website File Size: 598,13 KB Share Document on Facebook