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Introduction to Deep Learning and Generative AI · Quiz 2 · 23 Nov 2025 · September 2025 term

Question 3: The Huber Loss function is introduced as a robust alterna…

Question 3

+1 markOne correct option

The Huber Loss function is introduced as a robust alternative to Mean Squared Error (MSE) and Mean Absolute Error (MAE). What is the primary characteristic of Huber Loss that makes it robust to outliers?

  1. A

    It always produces a gradient of zero for all errors, preventing large updates.

  2. B

    It exclusively uses a quadratic penalty, but only for errors exactly at the threshold.

  3. C

    It transitions from a quadratic loss for small errors to a linear loss for large errors, thereby down-weighting the impact of outliers.

  4. D

    It entirely ignores errors beyond a certain delta, considering them irrelevant.

  5. E

    It applies a logarithmic transformation to all error values before computing the loss.

Show answer

Correct answer

  • C

    It transitions from a quadratic loss for small errors to a linear loss for large errors, thereby down-weighting the impact of outliers.

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Question 3 of 25 in the IIT Madras BS Introduction to Deep Learning and Generative AI (Deep Learning and GenAI) Quiz 2 paper sat on 23 Nov 2025, in the September 2025 term (IIT M DIPLOMA AN EXAM QDD2 23 Nov 2025 NEW). It carries 1 mark.

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