CAFE: Towards Compact, Adaptive, and Fast Embedding for Large-scale Recommendation Models

Hailin Zhang, Zirui Liu, Boxuan Chen +4

Recently, the growing memory demands of embedding tables in Deep Learning Recommendation Models (DLRMs) pose great challenges for model training and deployment. Existing embedding…