9 citations · 26 across the 10 of their papers we have counts for
Showing 2020 · cs.LGShow all
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cs.LG2020★ 4 cited
Field-wise Learning for Multi-field Categorical Data
Zhibin Li, Jian Zhang, Yongshun Gong +2
We propose a new method for learning with multi-field categorical data. Multi-field categorical data are usually collected over many heterogeneous groups. These groups can reflect…
cs.LG2020
ShadowSync: Performing Synchronization in the Background for Highly Scalable Distributed Training
Qinqing Zheng, Bor-Yiing Su, Jiyan Yang +7
Recommendation systems are often trained with a tremendous amount of data, and distributed training is the workhorse to shorten the training time. While the training throughput can…