most citedSmaller Is Bigger: Rethinking the Embedding Rate of Deep Hiding

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cs.LG2024

Multi-Epoch learning with Data Augmentation for Deep Click-Through Rate Prediction

Zhongxiang Fan, Zhaocheng Liu, Jian Liang +5

This paper investigates the one-epoch overfitting phenomenon in Click-Through Rate (CTR) models, where performance notably declines at the start of the second epoch. Despite extens…