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1909.02107
Cited By
Compositional Embeddings Using Complementary Partitions for Memory-Efficient Recommendation Systems
4 September 2019
Hao-Jun Michael Shi
Dheevatsa Mudigere
Maxim Naumov
Jiyan Yang
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Papers citing
"Compositional Embeddings Using Complementary Partitions for Memory-Efficient Recommendation Systems"
20 / 20 papers shown
Title
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
45
1
0
25 Jun 2024
LiRank: Industrial Large Scale Ranking Models at LinkedIn
Fedor Borisyuk
Mingzhou Zhou
Qingquan Song
Siyu Zhu
B. Tiwana
...
Chen-Chen Jiang
Haichao Wei
Maneesh Varshney
Amol Ghoting
Souvik Ghosh
29
1
0
10 Feb 2024
Enhancing Cross-Category Learning in Recommendation Systems with Multi-Layer Embedding Training
Selim F. Yilmaz
Benjamin Ghaemmaghami
A. Singh
Benjamin Cho
Leo Orshansky
Lei Deng
Michael Orshansky
AI4TS
28
0
0
27 Sep 2023
Extracting Text Representations for Terms and Phrases in Technical Domains
Francesco Fusco
Diego Antognini
35
0
0
25 May 2023
Mem-Rec: Memory Efficient Recommendation System using Alternative Representation
Gopu Krishna Jha
Anthony Thomas
Nilesh Jain
Sameh Gobriel
Tajana Rosing
Ravi Iyer
53
2
0
12 May 2023
Adaptive Low-Precision Training for Embeddings in Click-Through Rate Prediction
Shiwei Li
Huifeng Guo
Luyao Hou
Wei Zhang
Xing Tang
Ruiming Tang
Rui Zhang
Rui Li
MQ
132
9
0
12 Dec 2022
Clustering the Sketch: A Novel Approach to Embedding Table Compression
Henry Ling-Hei Tsang
Thomas Dybdahl Ahle
43
1
0
12 Oct 2022
DreamShard: Generalizable Embedding Table Placement for Recommender Systems
Daochen Zha
Louis Feng
Qiaoyu Tan
Zirui Liu
Kwei-Herng Lai
Bhargav Bhushanam
Yuandong Tian
A. Kejariwal
Xia Hu
LMTD
OffRL
33
28
0
05 Oct 2022
Towards Fair Federated Recommendation Learning: Characterizing the Inter-Dependence of System and Data Heterogeneity
Kiwan Maeng
Haiyu Lu
Luca Melis
John Nguyen
Michael G. Rabbat
Carole-Jean Wu
FedML
39
31
0
30 May 2022
Learning to Collide: Recommendation System Model Compression with Learned Hash Functions
Benjamin Ghaemmaghami
Mustafa Ozdal
Rakesh Komuravelli
D. Korchev
Dheevatsa Mudigere
Krishnakumar Nair
Maxim Naumov
39
6
0
28 Mar 2022
Learning Compressed Embeddings for On-Device Inference
Niketan Pansare
J. Katukuri
Aditya Arora
F. Cipollone
R. Shaik
Noyan Tokgozoglu
Chandru Venkataraman
37
14
0
18 Mar 2022
Differentiable NAS Framework and Application to Ads CTR Prediction
Ravi Krishna
Aravind Kalaiah
Bichen Wu
Maxim Naumov
Dheevatsa Mudigere
M. Smelyanskiy
Kurt Keutzer
28
8
0
25 Oct 2021
Learning Effective and Efficient Embedding via an Adaptively-Masked Twins-based Layer
Bencheng Yan
Pengjie Wang
Kai Zhang
Wei Lin
Kuang-chih Lee
Jian Xu
Bo Zheng
29
26
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
25
6
0
04 Aug 2021
Quaternion Factorization Machines: A Lightweight Solution to Intricate Feature Interaction Modelling
Tong Chen
Hongzhi Yin
Xiangliang Zhang
Zi Huang
Yang Wang
Meng Wang
30
12
0
05 Apr 2021
Learnable Embedding Sizes for Recommender Systems
Siyi Liu
Chen Gao
Yihong Chen
Depeng Jin
Yong Li
61
83
0
19 Jan 2021
Understanding Capacity-Driven Scale-Out Neural Recommendation Inference
Michael Lui
Yavuz Yetim
Özgür Özkan
Zhuoran Zhao
Shin-Yeh Tsai
Carole-Jean Wu
Mark Hempstead
GNN
BDL
LRM
22
51
0
04 Nov 2020
Learning to Embed Categorical Features without Embedding Tables for Recommendation
Wang-Cheng Kang
D. Cheng
Tiansheng Yao
Xinyang Yi
Ting-Li Chen
Lichan Hong
Ed H. Chi
LMTD
CML
DML
50
68
0
21 Oct 2020
METEOR: Learning Memory and Time Efficient Representations from Multi-modal Data Streams
Amila Silva
S. Karunasekera
C. Leckie
Ling Luo
AI4TS
24
2
0
23 Jul 2020
DeepRecSys: A System for Optimizing End-To-End At-scale Neural Recommendation Inference
Udit Gupta
Samuel Hsia
V. Saraph
Xiaodong Wang
Brandon Reagen
Gu-Yeon Wei
Hsien-Hsin S. Lee
David Brooks
Carole-Jean Wu
GNN
36
188
0
08 Jan 2020
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