19 citations · 39 across the 5 of their papers we have counts for
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cs.LG2023★ 19 cited
Revisiting Neural Retrieval on Accelerators
Jiaqi Zhai, Zhaojie Gong, Yueming Wang +4
Retrieval finds a small number of relevant candidates from a large corpus for information retrieval and recommendation applications. A key component of retrieval is to model (user,…
cs.LG2021★ 13 cited
TT-Rec: Tensor Train Compression for Deep Learning Recommendation Models
Chunxing Yin, Bilge Acun, Xing Liu +1
The memory capacity of embedding tables in deep learning recommendation models (DLRMs) is increasing dramatically from tens of GBs to TBs across the industry. Given the fast growth…