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20182026
most citedGeneralized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels

1.5k citations · 1.6k across the 41 of their papers we have counts for

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Showing 2019Show all

2 papers · 1 filter

cs.LG2019★ 6 cited

Nonnegative Matrix Factorization with Local Similarity Learning

Chong Peng, Zhao Kang, Chenglizhao Chen +1

Existing nonnegative matrix factorization methods focus on learning global structure of the data to construct basis and coefficient matrices, which ignores the local structure that…

cs.LG2019★ 41 cited

Confidence Calibration for Convolutional Neural Networks Using Structured Dropout

Zhilu Zhang, Adrian V. Dalca, Mert R. Sabuncu

In classification applications, we often want probabilistic predictions to reflect confidence or uncertainty. Dropout, a commonly used training technique, has recently been linked…