435 citations · 1.3k across the 28 of their papers we have counts for
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cs.LG2022
Building a Performance Model for Deep Learning Recommendation Model Training on GPUs
Zhongyi Lin, Louis Feng, Ehsan K. Ardestani +5
We devise a performance model for GPU training of Deep Learning Recommendation Models (DLRM), whose GPU utilization is low compared to other well-optimized CV and NLP models. We sh…
cs.LG2020★ 435 cited
Energy-based Out-of-distribution Detection
Weitang Liu, Xiaoyun Wang, John D. Owens +1
Determining whether inputs are out-of-distribution (OOD) is an essential building block for safely deploying machine learning models in the open world. However, previous methods re…