seniorPyTorch
How does label smoothing work in classification tasks?
Updated May 17, 2026
Short answer
Label smoothing softens hard labels to improve generalization.
Deep explanation
Instead of one-hot targets, label smoothing assigns small probability mass to incorrect classes, reducing model overconfidence and improving calibration.
Unlock with a Pro subscription to view this section.
View pricingReal-world example
No real-world example available yet.
Unlock with a Pro subscription to view this section.
Upgrade to ProCommon mistakes
No common mistakes listed yet.
Unlock with a Pro subscription to view this section.
Upgrade to ProFollow-up questions
No follow-up questions available yet.
Unlock with a Pro subscription to view this section.
Upgrade to Pro