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How Implicit Regularization of ReLU Neural Networks Characterizes the
  Learned Function -- Part I: the 1-D Case of Two Layers with Random First
  Layer

How Implicit Regularization of ReLU Neural Networks Characterizes the Learned Function -- Part I: the 1-D Case of Two Layers with Random First Layer

7 November 2019
Jakob Heiss
Josef Teichmann
Hanna Wutte
    MLT
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Papers citing "How Implicit Regularization of ReLU Neural Networks Characterizes the Learned Function -- Part I: the 1-D Case of Two Layers with Random First Layer"

1 / 1 papers shown
Title
Gradient Descent as a Shrinkage Operator for Spectral Bias
Gradient Descent as a Shrinkage Operator for Spectral Bias
Simon Lucey
38
0
0
25 Apr 2025
1