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20152020
most citedDeepRecSys: A System for Optimizing End-To-End At-scale Neural Recommendation Inference

38 citations · 45 across the 4 of their papers we have counts for

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cs.LG2020★ 4 cited

CPR: Understanding and Improving Failure Tolerant Training for Deep Learning Recommendation with Partial Recovery

Kiwan Maeng, Shivam Bharuka, Isabel Gao +8

The paper proposes and optimizes a partial recovery training system, CPR, for recommendation models. CPR relaxes the consistency requirement by enabling non-failed nodes to proceed…