most citedTrade-offs in Top-k Classification Accuracies on Losses for Deep Learning

6 citations · 6 across the 1 of their papers we have counts for

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1 paper

cs.LG2020★ 6 cited

Trade-offs in Top-k Classification Accuracies on Losses for Deep Learning

Azusa Sawada, Eiji Kaneko, Kazutoshi Sagi

This paper presents an experimental analysis about trade-offs in top-k classification accuracies on losses for deep leaning and proposal of a novel top-k loss. Commonly-used cross…