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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 2020Show all

1 paper · 1 filter

cs.LG2020★ 72 cited

Predicting trends in the quality of state-of-the-art neural networks without access to training or testing data

Charles H. Martin, Tongsu, Peng +1

In many applications, one works with neural network models trained by someone else. For such pretrained models, one may not have access to training data or test data. Moreover, one…