Multi-task representation learning outperforms single-task representation learning in scenarios involving over-parameterized two-layer convolutional neural networks trained by gradient descent.

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 (3)

• gradient descent concept
• multi-task learning concept
• Convolutional Neural Networks concept