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Mesh-tensorflow: Deep learning for supercomputers, , , , , , , , , and 1 other author(s). Advances in Neural Information Processing Systems, page 10435--10444. (2018)Monolith: Real Time Recommendation System with Collisionless Embedding Table., , , , , , , , , and 1 other author(s). ORSUM@RecSys, volume 3303 of CEUR Workshop Proceedings, CEUR-WS.org, (2022)Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling, , , , , , , , , and 81 other author(s). (2019)cite arxiv:1902.08295.GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism., , , , , , , , , and 1 other author(s). NeurIPS, page 103-112. (2019)CowClip: Reducing CTR Prediction Model Training Time from 12 Hours to 10 Minutes on 1 GPU., , , , , , , , , and 5 other author(s). AAAI, page 11390-11398. AAAI Press, (2023)Talking-Heads Attention., , , , and . CoRR, (2020)Rating Distribution Calibration for Selection Bias Mitigation in Recommendations., , , , , , and . WWW, page 2048-2057. ACM, (2022)Toward Annotator Group Bias in Crowdsourcing., , , , , , , and . ACL (1), page 1797-1806. Association for Computational Linguistics, (2022)Image Classification at Supercomputer Scale., , , , and . CoRR, (2018)