7 citations · 17 across the 9 of their papers we have counts for
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cs.IR2022★ 6 cited
Understanding Scaling Laws for Recommendation Models
Newsha Ardalani, Carole-Jean Wu, Zeliang Chen +2
Scale has been a major driving force in improving machine learning performance, and understanding scaling laws is essential for strategic planning for a sustainable model quality p…
cs.IR2021
Alternate Model Growth and Pruning for Efficient Training of Recommendation Systems
Xiaocong Du, Bhargav Bhushanam, Jiecao Yu +7
Deep learning recommendation systems at scale have provided remarkable gains through increasing model capacity (i.e. wider and deeper neural networks), but it comes at significant…