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Sangsidhya Kar

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#machine learning Preprint Sep 2026

Why Adaptive Optimizers Underestimate Rare Tokens

In the softmax output layer, a rare token receives a small positive logit gradient on most steps and a much larger negative gradient on the few steps when it is the target. SGD simply adds these contributions. Coordinate-wise adaptive methods such as Adam, RMSProp, and sign descent instead divide each update by a runni...

Sangsidhya Kar · 0 citations

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