36 citations · 94 across the 6 of their papers we have counts for
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cs.IR2022★ 6 cited
CROLoss: Towards a Customizable Loss for Retrieval Models in Recommender Systems
Yongxiang Tang, Wentao Bai, Guilin Li +2
In large-scale recommender systems, retrieving top N relevant candidates accurately with resource constrain is crucial. To evaluate the performance of such retrieval models, Recall…
cs.LG2022★ 24 cited
DropNAS: Grouped Operation Dropout for Differentiable Architecture Search
Weijun Hong, Guilin Li, Weinan Zhang +4
Neural architecture search (NAS) has shown encouraging results in automating the architecture design. Recently, DARTS relaxes the search process with a differentiable formulation t…