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1907.04471
Cited By
Neural Input Search for Large Scale Recommendation Models
Knowledge Discovery and Data Mining (KDD), 2019
10 July 2019
Manas R. Joglekar
Cong Li
Jay K. Adams
Pranav Khaitan
Quoc V. Le
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Papers citing
"Neural Input Search for Large Scale Recommendation Models"
43 / 43 papers shown
MMQ-v2: Align, Denoise, and Amplify: Adaptive Behavior Mining for Semantic IDs Learning in Recommendation
Y. Xu
Moyu Zhang
Chaofan Fan
J. Hu
Xiaochen Li
Yu Zhang
Xiaoyi Zeng
Jing-Xuan Zhang
VLM
356
2
0
29 Oct 2025
A Survey of Real-World Recommender Systems: Challenges, Constraints, and Industrial Perspectives
Kuan Zou
Aixin Sun
OffRL
167
2
0
07 Sep 2025
Universal Reusability in Recommender Systems: The Case for Dataset- and Task-Independent Frameworks
Tri Kurniawan Wijaya
Xinyang Shao
Gonzalo Fiz Pontiveros
Edoardo DÁmico
158
0
0
03 Jun 2025
Lightweight Embeddings with Graph Rewiring for Collaborative Filtering
Xurong Liang
Tong Chen
Wei Yuan
Hongzhi Yin
167
0
0
25 May 2025
Ember: A Compiler for Efficient Embedding Operations on Decoupled Access-Execute Architectures
Marco Siracusa
Olivia Hsu
Victor Soria-Pardos
Joshua Randall
Arnaud Grasset
...
Doug Joseph
Randy Allen
Fredrik Kjolstad
Miquel Moretó Planas
Adrià Armejach
265
0
0
14 Apr 2025
HyperZero: A Customized End-to-End Auto-Tuning System for Recommendation with Hourly Feedback
Knowledge Discovery and Data Mining (KDD), 2025
Xufeng Cai
Ziwei Guan
Lei Yuan
Ali Selman Aydin
Tengyu Xu
...
Haichuan Yang
Serena Li
Mingze Gao
Yue Weng
Ji Liu
OffRL
279
0
0
30 Jan 2025
Fusion Matters: Learning Fusion in Deep Click-through Rate Prediction Models
Web Search and Data Mining (WSDM), 2024
Kexin Zhang
Fuyuan Lyu
Xing Tang
Dugang Liu
Chen Ma
Kaize Ding
Xiuqiang He
Xue Liu
270
6
0
24 Nov 2024
Deep Feature Embedding for Tabular Data
Yuqian Wu
Hengyi Luo
Raymond S. T. Lee
LMTD
171
10
0
30 Aug 2024
Scalable Dynamic Embedding Size Search for Streaming Recommendation
International Conference on Information and Knowledge Management (CIKM), 2024
Yunke Qu
Liang Qu
Tong Chen
Xiangyu Zhao
Quoc Viet Hung Nguyen
Hongzhi Yin
284
11
0
22 Jul 2024
A Thorough Performance Benchmarking on Lightweight Embedding-based Recommender Systems
Hung Vinh Tran
Tong Chen
Quoc Viet Hung Nguyen
Zi-Rui Huang
Lizhen Cui
Hongzhi Yin
459
8
0
25 Jun 2024
On-Device Recommender Systems: A Comprehensive Survey
Hongzhi Yin
Liang Qu
Tong Chen
Wei Yuan
Ruiqi Zheng
Jing Long
Xin Xia
Yuhui Shi
Chengqi Zhang
315
60
0
21 Jan 2024
Fine-Grained Embedding Dimension Optimization During Training for Recommender Systems
Qinyi Luo
Penghan Wang
Wei Zhang
Fan Lai
Jiachen Mao
...
Jun Song
Wei-Yu Tsai
Shuai Yang
Yuxi Hu
Xuehai Qian
207
3
0
09 Jan 2024
Hiformer: Heterogeneous Feature Interactions Learning with Transformers for Recommender Systems
Huan Gui
Ruoxi Wang
Ke Yin
Long Jin
Maciej Kula
Taibai Xu
Lichan Hong
Ed H. Chi
174
13
0
10 Nov 2023
MixtureGrowth: Growing Neural Networks by Recombining Learned Parameters
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Chau Pham
Piotr Teterwak
Soren Nelson
Bryan A. Plummer
198
5
0
07 Nov 2023
Embedding in Recommender Systems: A Survey
Maolin Wang
Xinjian Zhao
Xinjian Zhao
Jiansheng Li
Shucheng Zhou
...
Shucheng Zhou
D. Yin
Qing Li
Ruocheng Guo
Xiangyu Zhao
AI4TS
365
30
0
28 Oct 2023
Dynamic Embedding Size Search with Minimum Regret for Streaming Recommender System
International Conference on Information and Knowledge Management (CIKM), 2023
Bowei He
Xu He
Renrui Zhang
Yingxue Zhang
Ruiming Tang
Chen Ma
AI4TS
143
13
0
15 Aug 2023
Pre-train and Search: Efficient Embedding Table Sharding with Pre-trained Neural Cost Models
Conference on Machine Learning and Systems (MLSys), 2023
Daochen Zha
Louis Feng
Liangchen Luo
Bhargav Bhushanam
Zirui Liu
...
J. McMahon
Yuzhen Huang
Bryan Clarke
A. Kejariwal
Helen Zhou
220
10
0
03 May 2023
Continuous Input Embedding Size Search For Recommender Systems
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023
Yunke Qu
Tong Chen
Xiangyu Zhao
Lizhen Cui
Kai Zheng
Hongzhi Yin
AI4TS
315
24
0
07 Apr 2023
Adaptive Low-Precision Training for Embeddings in Click-Through Rate Prediction
AAAI Conference on Artificial Intelligence (AAAI), 2022
Shiwei Li
Huifeng Guo
Luyao Hou
Wei Zhang
Xing Tang
Ruiming Tang
Rui Zhang
Rui Li
MQ
534
25
0
12 Dec 2022
DreamShard: Generalizable Embedding Table Placement for Recommender Systems
Neural Information Processing Systems (NeurIPS), 2022
Daochen Zha
Louis Feng
Qiaoyu Tan
Zirui Liu
Kwei-Herng Lai
Bhargav Bhushanam
Yuandong Tian
A. Kejariwal
Helen Zhou
LMTD
OffRL
289
35
0
05 Oct 2022
A Comprehensive Survey on Trustworthy Recommender Systems
Wenqi Fan
Xiangyu Zhao
Xiao Chen
Jingran Su
Jingtong Gao
...
Qidong Liu
Yiqi Wang
Hanfeng Xu
Lei Chen
Qing Li
FaML
254
64
0
21 Sep 2022
AutoShard: Automated Embedding Table Sharding for Recommender Systems
Knowledge Discovery and Data Mining (KDD), 2022
Daochen Zha
Louis Feng
Bhargav Bhushanam
Dhruv Choudhary
Jade Nie
Yuandong Tian
Jay Chae
Yi-An Ma
A. Kejariwal
Helen Zhou
169
33
0
12 Aug 2022
The trade-offs of model size in large recommendation models : A 10000
×
\times
×
compressed criteo-tb DLRM model (100 GB parameters to mere 10MB)
Aditya Desai
Anshumali Shrivastava
AI4CE
194
3
0
21 Jul 2022
Efficient Mixed Dimension Embeddings for Matrix Factorization
D. Beloborodov
Andrei Zimovnov
Petr Molodyk
Dmitrii Kirillov
155
2
0
18 May 2022
A Comprehensive Survey on Automated Machine Learning for Recommendations
Bo Chen
Xiangyu Zhao
Yejing Wang
Wenqi Fan
Huifeng Guo
Ruiming Tang
AI4TS
350
13
0
04 Apr 2022
i-Razor: A Differentiable Neural Input Razor for Feature Selection and Dimension Search in DNN-Based Recommender Systems
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022
Yao Yao
B. Liu
Haoxun He
Dakui Sheng
Ke Wang
Li Xiao
Huanhuan Cao
130
4
0
01 Apr 2022
APG: Adaptive Parameter Generation Network for Click-Through Rate Prediction
Neural Information Processing Systems (NeurIPS), 2022
Bencheng Yan
Pengjie Wang
Kai Zhang
Feng Li
Hongbo Deng
Jian Xu
Bo Zheng
275
26
0
30 Mar 2022
RecShard: Statistical Feature-Based Memory Optimization for Industry-Scale Neural Recommendation
International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2022
Geet Sethi
Bilge Acun
Niket Agarwal
Christos Kozyrakis
Caroline Trippel
Carole-Jean Wu
245
78
0
25 Jan 2022
Enhanced Exploration in Neural Feature Selection for Deep Click-Through Rate Prediction Models via Ensemble of Gating Layers
L. Guan
Xia Xiao
Ming-yue Chen
Youlong Cheng
166
2
0
07 Dec 2021
Sustainable AI: Environmental Implications, Challenges and Opportunities
Conference on Machine Learning and Systems (MLSys), 2021
Carole-Jean Wu
Ramya Raghavendra
Udit Gupta
Bilge Acun
Newsha Ardalani
...
Maximilian Balandat
Joe Spisak
R. Jain
Michael G. Rabbat
K. Hazelwood
415
552
0
30 Oct 2021
Binary Code based Hash Embedding for Web-scale Applications
International Conference on Information and Knowledge Management (CIKM), 2021
Bencheng Yan
Pengjie Wang
Jinquan Liu
Wei-Chao Lin
Kuang-chih Lee
Jian Xu
Bo Zheng
172
22
0
24 Aug 2021
Learning Effective and Efficient Embedding via an Adaptively-Masked Twins-based Layer
International Conference on Information and Knowledge Management (CIKM), 2021
Bencheng Yan
Pengjie Wang
Kai Zhang
Wei Lin
Kuang-chih Lee
Jian Xu
Bo Zheng
149
30
0
24 Aug 2021
Random Offset Block Embedding Array (ROBE) for CriteoTB Benchmark MLPerf DLRM Model : 1000
×
\times
×
Compression and 3.1
×
\times
×
Faster Inference
Aditya Desai
Li Chou
Anshumali Shrivastava
AI4CE
198
6
0
04 Aug 2021
FINT: Field-aware INTeraction Neural Network For CTR Prediction
Zhishan Zhao
Sen Yang
Guohui Liu
Dawei Feng
Ke Xu
263
10
0
05 Jul 2021
AutoLoss: Automated Loss Function Search in Recommendations
Knowledge Discovery and Data Mining (KDD), 2021
Xiangyu Zhao
Haochen Liu
Wenqi Fan
Hui Liu
Shucheng Zhou
Chong Wang
240
64
0
12 Jun 2021
Deep Learning for Click-Through Rate Estimation
International Joint Conference on Artificial Intelligence (IJCAI), 2021
Weinan Zhang
Jiarui Qin
Wei Guo
Ruiming Tang
Xiuqiang He
3DV
HAI
256
127
0
21 Apr 2021
ScaleFreeCTR: MixCache-based Distributed Training System for CTR Models with Huge Embedding Table
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2021
Huifeng Guo
Wei Guo
Yong Gao
Ruiming Tang
Xiuqiang He
Wenzhi Liu
203
24
0
17 Apr 2021
Learnable Embedding Sizes for Recommender Systems
International Conference on Learning Representations (ICLR), 2021
Siyi Liu
Chen Gao
Yihong Chen
Depeng Jin
Yong Li
462
94
0
19 Jan 2021
Learning to Embed Categorical Features without Embedding Tables for Recommendation
Knowledge Discovery and Data Mining (KDD), 2020
Wang-Cheng Kang
D. Cheng
Tiansheng Yao
Xinyang Yi
Ting-Li Chen
Lichan Hong
Ed H. Chi
LMTD
CML
DML
269
83
0
21 Oct 2020
Differentiable Neural Input Search for Recommender Systems
Weiyu Cheng
Yanyan Shen
Linpeng Huang
253
38
0
08 Jun 2020
Contrastive Learning for Debiased Candidate Generation in Large-Scale Recommender Systems
Chang Zhou
Jianxin Ma
Jianwei Zhang
Jingren Zhou
Hongxia Yang
609
158
0
20 May 2020
Anchor & Transform: Learning Sparse Embeddings for Large Vocabularies
Paul Pu Liang
Manzil Zaheer
Yuan Wang
Amr Ahmed
BDL
367
1
0
18 Mar 2020
DARTS+: Improved Differentiable Architecture Search with Early Stopping
Hanwen Liang
Shifeng Zhang
Jiacheng Sun
Xingqiu He
Weiran Huang
Kechen Zhuang
Zhenguo Li
305
301
0
13 Sep 2019
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