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DIET: Customized Slimming for Incompatible Networks in Sequential
  Recommendation

DIET: Customized Slimming for Incompatible Networks in Sequential Recommendation

13 June 2024
Kairui Fu
Shengyu Zhang
Zheqi Lv
Jingyuan Chen
Jiwei Li
ArXivPDFHTML

Papers citing "DIET: Customized Slimming for Incompatible Networks in Sequential Recommendation"

4 / 4 papers shown
Title
Semantic Codebook Learning for Dynamic Recommendation Models
Semantic Codebook Learning for Dynamic Recommendation Models
Zheqi Lv
Shaoxuan He
Ahmed Salem
Minxing Zhang
Wenqiao Zhang
Jingyuan Chen
Yang Zhang
Fei Wu
16
5
0
31 Jul 2024
Revisiting the Domain Shift and Sample Uncertainty in Multi-source
  Active Domain Transfer
Revisiting the Domain Shift and Sample Uncertainty in Multi-source Active Domain Transfer
Wenqiao Zhang
Zheqi Lv
Hao Zhou
Jia-Wei Liu
Juncheng Li
Mengze Li
Siliang Tang
Yueting Zhuang
EDL
34
11
0
21 Nov 2023
Learning Vector-Quantized Item Representation for Transferable
  Sequential Recommenders
Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders
Yupeng Hou
Zhankui He
Julian McAuley
Wayne Xin Zhao
60
122
0
22 Oct 2022
DUET: A Tuning-Free Device-Cloud Collaborative Parameters Generation
  Framework for Efficient Device Model Generalization
DUET: A Tuning-Free Device-Cloud Collaborative Parameters Generation Framework for Efficient Device Model Generalization
Zheqi Lv
Wenqiao Zhang
Shengyu Zhang
Kun Kuang
Feng Wang
...
Zhengyu Chen
T. Shen
Hongxia Yang
Bengchin Ooi
Fei Wu
34
52
0
12 Sep 2022
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