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Multi-Task Learning Theory

Shared backbones, task-specific heads, and the loss-combination problem that the rest of the book is dedicated to solving.

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What you'll unlock:

  • 1. Why Multi-Task Learning?
  • 2. Shared vs. Task-Specific Parameters
  • 3. The Loss-Combination Problem
  • 4. A Gradient-Level View of MTL
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