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Device-Cloud Collaborative Recommendation via Meta Controller

Device-Cloud Collaborative Recommendation via Meta Controller

7 July 2022
Jiangchao Yao
Feng Wang
Xichen Ding
Shaohu Chen
Bo Han
Jingren Zhou
Hongxia Yang
ArXiv (abs)PDFHTML

Papers citing "Device-Cloud Collaborative Recommendation via Meta Controller"

24 / 24 papers shown
Title
Intelligent Request Strategy Design in Recommender System
Intelligent Request Strategy Design in Recommender System
Xufeng Qian
Yue Xu
Fuyu Lv
Shengyu Zhang
Ziwen Jiang
Qingwen Liu
Xiaoyi Zeng
Tat-Seng Chua
Leilei Gan
95
17
0
23 Jun 2022
Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI
Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI
Jiangchao Yao
Shengyu Zhang
Yang Yao
Feng Wang
Jianxin Ma
...
Kun Kuang
Chao-Xiang Wu
Leilei Gan
Jingren Zhou
Hongxia Yang
98
101
0
11 Nov 2021
Click-through Rate Prediction with Auto-Quantized Contrastive Learning
Click-through Rate Prediction with Auto-Quantized Contrastive Learning
Yujie Pan
Jiangchao Yao
Bo Han
Kunyang Jia
Ya Zhang
Hongxia Yang
MQ
58
18
0
27 Sep 2021
Auto-Split: A General Framework of Collaborative Edge-Cloud AI
Auto-Split: A General Framework of Collaborative Edge-Cloud AI
Amin Banitalebi-Dehkordi
Naveen Vedula
J. Pei
Fei Xia
Lanjun Wang
Yong Zhang
66
92
0
30 Aug 2021
Device-Cloud Collaborative Learning for Recommendation
Device-Cloud Collaborative Learning for Recommendation
Jiangchao Yao
Feng Wang
Kunyang Jia
Bo Han
Jingren Zhou
Hongxia Yang
92
62
0
14 Apr 2021
Sparse-Interest Network for Sequential Recommendation
Sparse-Interest Network for Sequential Recommendation
Qiaoyu Tan
Jianwei Zhang
Jiangchao Yao
Ninghao Liu
Jingren Zhou
Hongxia Yang
Helen Zhou
125
140
0
18 Feb 2021
MCUNet: Tiny Deep Learning on IoT Devices
MCUNet: Tiny Deep Learning on IoT Devices
Ji Lin
Wei-Ming Chen
Chengyue Wu
J. Cohn
Chuang Gan
Song Han
157
493
0
20 Jul 2020
Linformer: Self-Attention with Linear Complexity
Linformer: Self-Attention with Linear Complexity
Sinong Wang
Belinda Z. Li
Madian Khabsa
Han Fang
Hao Ma
219
1,716
0
08 Jun 2020
Generalized Entropy Regularization or: There's Nothing Special about
  Label Smoothing
Generalized Entropy Regularization or: There's Nothing Special about Label Smoothing
Clara Meister
Elizabeth Salesky
Ryan Cotterell
UQCV
44
61
0
02 May 2020
A Generic Network Compression Framework for Sequential Recommender
  Systems
A Generic Network Compression Framework for Sequential Recommender Systems
Yang Sun
Fajie Yuan
Ming Yang
Guoao Wei
Zhou Zhao
Duo Liu
65
55
0
21 Apr 2020
MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices
MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices
Zhiqing Sun
Hongkun Yu
Xiaodan Song
Renjie Liu
Yiming Yang
Denny Zhou
MQ
118
817
0
06 Apr 2020
On-Device Machine Learning: An Algorithms and Learning Theory
  Perspective
On-Device Machine Learning: An Algorithms and Learning Theory Perspective
Sauptik Dhar
Junyao Guo
Jiayi Liu
S. Tripathi
Unmesh Kurup
Mohak Shah
75
143
0
02 Nov 2019
Uplift Modeling for Multiple Treatments with Cost Optimization
Uplift Modeling for Multiple Treatments with Cost Optimization
Zhenyu Zhao
Totte Harinen
30
49
0
14 Aug 2019
Edge Intelligence: Paving the Last Mile of Artificial Intelligence with
  Edge Computing
Edge Intelligence: Paving the Last Mile of Artificial Intelligence with Edge Computing
Zhi Zhou
Xu Chen
En Li
Liekang Zeng
Ke Luo
Junshan Zhang
99
1,444
0
24 May 2019
BERT4Rec: Sequential Recommendation with Bidirectional Encoder
  Representations from Transformer
BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer
Fei Sun
Jun Liu
Jian Wu
Changhua Pei
Xiao Lin
Wenwu Ou
Peng Jiang
BDLHAI
191
2,181
0
14 Apr 2019
A Unified Framework for Marketing Budget Allocation
A Unified Framework for Marketing Budget Allocation
Kui Zhao
Junhao Hua
Ling Yan
Qi Zhang
Huan Xu
Cheng Yang
37
43
0
04 Feb 2019
MobileNetV2: Inverted Residuals and Linear Bottlenecks
MobileNetV2: Inverted Residuals and Linear Bottlenecks
Mark Sandler
Andrew G. Howard
Menglong Zhu
A. Zhmoginov
Liang-Chieh Chen
213
19,353
0
13 Jan 2018
Deep Interest Network for Click-Through Rate Prediction
Deep Interest Network for Click-Through Rate Prediction
Guorui Zhou
Cheng-Ning Song
Xiaoqiang Zhu
Xi-Wang Dai
Ziru Xu
Xiao Ma
Yanghui Yan
Junqi Jin
Han Li
Kun Gai
93
1,828
0
21 Jun 2017
Meta-learners for Estimating Heterogeneous Treatment Effects using
  Machine Learning
Meta-learners for Estimating Heterogeneous Treatment Effects using Machine Learning
Sören R. Künzel
Jasjeet Sekhon
Peter J. Bickel
Bin Yu
CML
167
930
0
12 Jun 2017
DeepFM: A Factorization-Machine based Neural Network for CTR Prediction
DeepFM: A Factorization-Machine based Neural Network for CTR Prediction
Huifeng Guo
Ruiming Tang
Yunming Ye
Zhenguo Li
Xiuqiang He
122
2,659
0
13 Mar 2017
Outrageously Large Neural Networks: The Sparsely-Gated
  Mixture-of-Experts Layer
Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer
Noam M. Shazeer
Azalia Mirhoseini
Krzysztof Maziarz
Andy Davis
Quoc V. Le
Geoffrey E. Hinton
J. Dean
MoE
253
2,692
0
23 Jan 2017
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
484
5,385
0
05 Nov 2016
Wide & Deep Learning for Recommender Systems
Wide & Deep Learning for Recommender Systems
Heng-Tze Cheng
L. Koc
Jeremiah Harmsen
T. Shaked
Tushar Chandra
...
Zakaria Haque
Lichan Hong
Vihan Jain
Xiaobing Liu
Hemal Shah
HAIVLM
195
3,673
0
24 Jun 2016
Learning Representations for Counterfactual Inference
Learning Representations for Counterfactual Inference
Fredrik D. Johansson
Uri Shalit
David Sontag
CMLOODBDL
306
729
0
12 May 2016
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