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Software-hardware co-design for fast and scalable training of deep learning recommendation models., , , , , , , , , and 43 other author(s). ISCA, page 993-1011. ACM, (2022)QuickUpdate: a Real-Time Personalization System for Large-Scale Recommendation Models., , , , , , , , , and . NSDI, page 731-744. USENIX Association, (2024)AdaEmbed: Adaptive Embedding for Large-Scale Recommendation Models., , , , , , , , , and 6 other author(s). OSDI, page 817-831. USENIX Association, (2023)Towards the Better Ranking Consistency: A Multi-task Learning Framework for Early Stage Ads Ranking., , , , , , , , , and 3 other author(s). AdKDD@KDD, volume 3556 of CEUR Workshop Proceedings, CEUR-WS.org, (2023)High-performance, Distributed Training of Large-scale Deep Learning Recommendation Models., , , , , , , , , and 41 other author(s). CoRR, (2021)DHEN: A Deep and Hierarchical Ensemble Network for Large-Scale Click-Through Rate Prediction., , , , , , , , , and 7 other author(s). CoRR, (2022)Low-Precision Hardware Architectures Meet Recommendation Model Inference at Scale., , , , , , , , , and 8 other author(s). CoRR, (2021)Adaptive Dense-to-Sparse Paradigm for Pruning Online Recommendation System with Non-Stationary Data., , , , , , , , and . CoRR, (2020)Wukong: Towards a Scaling Law for Large-Scale Recommendation., , , , , , , , , and 5 other author(s). CoRR, (2024)Disaggregated Multi-Tower: Topology-aware Modeling Technique for Efficient Large-Scale Recommendation., , , , , , , , , and 4 other author(s). CoRR, (2024)