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📚TheoryIntermediate

Multi-Task Loss Balancing

Multi-task loss balancing aims to automatically set each task’s weight so that no single loss dominates training.

#multi-task learning#uncertainty weighting#homoscedastic uncertainty+12
📚TheoryIntermediate

Label Smoothing

Label smoothing replaces a hard one-hot target with a slightly softened distribution to reduce model overconfidence.

#label smoothing
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