A frequency-adaptive learning rate that slows updates to rare embedding IDs reduces multi-epoch overfitting for some sparse ad-conversion objectives, but not the sparsest, and its advantage disappears after days of continual training.
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The Evolution of Embedding Table Optimization and Multi-Epoch Training in Pinterest Ads Conversion
A frequency-adaptive learning rate that slows updates to rare embedding IDs reduces multi-epoch overfitting for some sparse ad-conversion objectives, but not the sparsest, and its advantage disappears after days of continual training.