What is Huber loss?

Updated May 15, 2026

Short answer

Huber loss combines MSE and MAE for robustness and smoothness.

Deep explanation

It behaves like MSE for small errors and MAE for large errors, balancing sensitivity and robustness.

Real-world example

Used in autonomous driving systems for sensor noise handling.

Common mistakes

  • Incorrectly choosing delta threshold.

Follow-up questions

  • Why combine MAE and MSE?
  • Where is it commonly used?

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