Lightlike Neuromanifolds, Occam's Razor and Deep Learning

By Ke Sun, Frank Nielsen. 2019

13 citations recorded by the source corpus.

Subfields: Representation & Self-Supervised Learning

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Representation & Self-Supervised Learning

1. Matthias Bethge
2. Claudio Michaelis
3. Jörn-Henrik Jacobsen
4. Hao Su
5. Richard S. Zemel
6. Robert Geirhos
7. Wieland Brendel
8. Zhiwei Jia

Citations in the corpus

• Shortcut learning in deep neural networks (2020, background): “Stochastic gradient descent and its variants bias DNNs towards learning simple functions [112, 113, 114, 115].”
• Information-Theoretic Local Minima Characterization and Regularization (2019, methodology): “Also an information-theoretic approach, Sun & Nielsen (2019) derived a novel formulation of the minimum description length in the context of deep learning by utilizing tools from singular semi-Riemannian geometry.”