18 citations · 40 across the 16 of their papers we have counts for
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cs.IR2023
DistDNAS: Search Efficient Feature Interactions within 2 Hours
Tunhou Zhang, Wei Wen, Igor Fedorov +8
Search efficiency and serving efficiency are two major axes in building feature interactions and expediting the model development process in recommender systems. On large-scale ben…
cs.LG2023
Farthest Greedy Path Sampling for Two-shot Recommender Search
Yufan Cao, Tunhou Zhang, Wei Wen +3
Weight-sharing Neural Architecture Search (WS-NAS) provides an efficient mechanism for developing end-to-end deep recommender models. However, in complex search spaces, distinguish…
cs.CV2023
LISSNAS: Locality-based Iterative Search Space Shrinkage for Neural Architecture Search
Bhavna Gopal, Arjun Sridhar, Tunhou Zhang +1
Search spaces hallmark the advancement of Neural Architecture Search (NAS). Large and complex search spaces with versatile building operators and structures provide more opportunit…