iHAS: Instance-wise Hierarchical Architecture Search for Deep Learning Recommendation Models

Yakun Yu, Shi-ang Qi, Jiuding Yang +2

Current recommender systems employ large-sized embedding tables with uniform dimensions for all features, leading to overfitting, high computational cost, and suboptimal generalizi…