4 citations · 6 across the 2 of their papers we have counts for
2 papers
cs.LG2022★ 2 cited
Noise-Robust Bidirectional Learning with Dynamic Sample Reweighting
Chen-Chen Zong, Zheng-Tao Cao, Hong-Tao Guo +4
Deep neural networks trained with standard cross-entropy loss are more prone to memorize noisy labels, which degrades their performance. Negative learning using complementary label…
cond-mat.dis-nn2021★ 4 cited
Equivalence between algorithmic instability and transition to replica symmetry breaking in perceptron learning systems
Yang Zhao, Junbin Qiu, Mingshan Xie +1
Binary perceptron is a fundamental model of supervised learning for the non-convex optimization, which is a root of the popular deep learning. Binary perceptron is able to achieve…