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20172026
most citedImplicit Self-Regularization in Deep Neural Networks: Evidence from Random Matrix Theory and Implications for Learning

104 citations · 256 across the 9 of their papers we have counts for

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Showing 2023Show all

1 paper · 1 filter

cs.LG2023★ 2 cited

Temperature Balancing, Layer-wise Weight Analysis, and Neural Network Training

Yefan Zhou, Tianyu Pang, Keqin Liu +3

Regularization in modern machine learning is crucial, and it can take various forms in algorithmic design: training set, model family, error function, regularization terms, and opt…