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How Robust are Deep Neural Networks?

How Robust are Deep Neural Networks?

30 April 2018
B. Sengupta
Karl J. Friston
    OOD
ArXivPDFHTML

Papers citing "How Robust are Deep Neural Networks?"

3 / 3 papers shown
Title
Natural Language Syntax Complies with the Free-Energy Principle
Natural Language Syntax Complies with the Free-Energy Principle
Elliot Murphy
E. Holmes
K. Friston
13
11
0
27 Oct 2022
The Free Energy Principle drives neuromorphic development
The Free Energy Principle drives neuromorphic development
C. Fields
Karl J. Friston
J. Glazebrook
Michael Levin
A. Marcianò
35
14
0
20 Jul 2022
Implicit Self-Regularization in Deep Neural Networks: Evidence from
  Random Matrix Theory and Implications for Learning
Implicit Self-Regularization in Deep Neural Networks: Evidence from Random Matrix Theory and Implications for Learning
Charles H. Martin
Michael W. Mahoney
AI4CE
35
190
0
02 Oct 2018
1