Elastic Representation (ElRep) is a method that learns features by imposing Nuclear- and Frobenius-norm penalties on the representation from the last layer of a neural network to mitigate spurious correlations and improve group robustness.

Authors

• Person: Samuel Tesfazgi, Leonhard Sprandl, Sandra Hirche Organization: AISTATS
  Track: Poster Session 3 - aistats 2026

Sources

• Track: Poster Session 3 - aistats 2026 virtual.aistats.org Samuel Tesfazgi, Leonhard Sprandl, Sandra Hirche · AISTATS via serper

Referenced by nodes (1)

• artificial neural networks concept