Interleaved Noise Injection Boosts Model Robustness
serrjoa · x · 2026-07-18
A new paper reveals that using interleaved noise injection during model optimization not only improves robustness against data corruption and distribution shifts but also surprisingly boosts accuracy on clean data—a phenomenon unobserved in previous curriculum learning strategies.
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