Confident Multiple Choice Learning

ICML 2017 Kimin LeeChangho HwangKyoungSoo ParkJinwoo Shin

Ensemble methods are arguably the most trustworthy techniques for boosting the performance of machine learning models. Popular independent ensembles (IE) relying on naive averaging/voting scheme have been of typical choice for most applications involving deep neural networks, but they do not consider advanced collaboration among ensemble models... (read more)

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