2026
Adaptive Regularization for Large-Scale Sparse Feature Embedding Models
ICLR 2026poster
The one-epoch overfitting problem has drawn widespread attention, especially in CTR and CVR estimation models in search, advertising, and recommendation domains. These models which rely heavily on large-scale sparse categorical features, often suffer a significant decline in performance when trained…