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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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cs.CL2022

Evaluating natural language processing models with generalization metrics that do not need access to any training or testing data

Yaoqing Yang, Ryan Theisen, Liam Hodgkinson +4

Selecting suitable architecture parameters and training hyperparameters is essential for enhancing machine learning (ML) model performance. Several recent empirical studies conduct…