// Link · 18 March 2026

Study Finds Optimizer Choice Significantly Impacts Model Retention

This work revisits catastrophic forgetting in machine learning, showing that optimizer choice—alongside dataset and metrics—plays a far more significant role than previously understood. By comparing modern gradient-based optimizers like SGD, RMSProp, and Adam across supervised and reinforcement lear...

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