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Mixed Dimension Embeddings with Application to Memory-Efficient Recommendation Systems

25 September 2019

Papers citing "Mixed Dimension Embeddings with Application to Memory-Efficient Recommendation Systems"

41 / 41 papers shown

Title
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 89 0 0 14 Apr 2025
DQRM: Deep Quantized Recommendation Models Yang Zhou Zhen Dong Ellick Chan Dhiraj Kalamkar Diana Marculescu Kurt Keutzer MQ 104 1 0 26 Oct 2024
Unified Low-rank Compression Framework for Click-through Rate Prediction Hao Yu Minghao Fu Jiandong Ding Yusheng Zhou Jianxin Wu 55 0 0 28 May 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 79 0 0 09 Jan 2024
Proxy-based Item Representation for Attribute and Context-aware Recommendation Jinseok Seol Minseok Gang Sang-goo Lee Jaehui Park 85 5 0 11 Dec 2023
CAFE: Towards Compact, Adaptive, and Fast Embedding for Large-scale Recommendation Models Hailin Zhang Zirui Liu Boxuan Chen Yikai Zhao Tong Zhao Tong Yang Tengjiao Wang 68 11 0 06 Dec 2023
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 57 0 0 27 Sep 2023
Unleashing the Power of Graph Learning through LLM-based Autonomous Agents Lanning Wei Zhiqiang He Huan Zhao Quanming Yao LLMAG 73 7 0 08 Sep 2023
Dynamic Embedding Size Search with Minimum Regret for Streaming Recommender System Bowei He Xu He Renrui Zhang Yingxue Zhang Ruiming Tang Chen Ma AI4TS 84 12 0 15 Aug 2023
When Large Language Models Meet Personalization: Perspectives of Challenges and Opportunities Jin Chen Zheng Liu Xunpeng Huang Chenwang Wu Qi Liu ... Yuxuan Lei Xiaolong Chen Xingmei Wang Defu Lian Enhong Chen ALM 92 132 0 31 Jul 2023
Mem-Rec: Memory Efficient Recommendation System using Alternative Representation Gopu Krishna Jha Anthony Thomas Nilesh Jain Sameh Gobriel Tajana Rosing Ravi Iyer 79 2 0 12 May 2023
MP-Rec: Hardware-Software Co-Design to Enable Multi-Path Recommendation Samuel Hsia Udit Gupta Bilge Acun Newsha Ardalani Pan Zhong Gu-Yeon Wei David Brooks Carole-Jean Wu 113 17 0 21 Feb 2023
Clustered Embedding Learning for Recommender Systems Yizhou Chen Guangda Huzhang Anxiang Zeng Qingtao Yu Hui Sun Hengyi Li Jingyi Li Yabo Ni Han Yu Zhiming Zhou 70 11 0 03 Feb 2023
FlexShard: Flexible Sharding for Industry-Scale Sequence Recommendation Models Geet Sethi Pallab Bhattacharya Dhruv Choudhary Carole-Jean Wu Christos Kozyrakis 82 5 0 08 Jan 2023
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 114 48 0 21 Sep 2022
A Frequency-aware Software Cache for Large Recommendation System Embeddings Jiarui Fang Geng Zhang Jiatong Han Shenggui Li Zhengda Bian Yongbin Li Jin Liu Yang You 57 4 0 08 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)$ 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 53 3 0 21 Jul 2022
Efficient Mixed Dimension Embeddings for Matrix Factorization D. Beloborodov Andrei Zimovnov Petr Molodyk Dmitrii Kirillov 52 2 0 18 May 2022
CowClip: Reducing CTR Prediction Model Training Time from 12 hours to 10 minutes on 1 GPU Zangwei Zheng Peng Xu Xuan Zou Da Tang Zhen Li ... Xiangzhuo Ding Fuzhao Xue Ziheng Qing Youlong Cheng Yang You VLM 86 7 0 13 Apr 2022
Heterogeneous Acceleration Pipeline for Recommendation System Training Muhammad Adnan Yassaman Ebrahimzadeh Maboud Divyat Mahajan Prashant J. Nair 86 19 0 11 Apr 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 67 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 101 15 0 18 Mar 2022
RecShard: Statistical Feature-Based Memory Optimization for Industry-Scale Neural Recommendation Geet Sethi Bilge Acun Niket Agarwal Christos Kozyrakis Caroline Trippel Carole-Jean Wu 99 70 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 56 1 0 07 Dec 2021
Binary Code based Hash Embedding for Web-scale Applications Bencheng Yan Pengjie Wang Jinquan Liu Wei-Chao Lin Kuang-chih Lee Jian Xu Bo Zheng 67 20 0 24 Aug 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 75 28 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$ 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 59 6 0 04 Aug 2021
FINT: Field-aware INTeraction Neural Network For CTR Prediction Zhishan Zhao Sen Yang Guohui Liu Dawei Feng Ke Xu 56 9 0 05 Jul 2021
AutoLoss: Automated Loss Function Search in Recommendations Xiangyu Zhao Haochen Liu Wenqi Fan Hui Liu Jiliang Tang Chong Wang 83 60 0 12 Jun 2021
RecPipe: Co-designing Models and Hardware to Jointly Optimize Recommendation Quality and Performance Udit Gupta Samuel Hsia J. Zhang Mark Wilkening Javin Pombra Hsien-Hsin S. Lee Gu-Yeon Wei Carole-Jean Wu David Brooks 67 33 0 18 May 2021
ECRM: Efficient Fault Tolerance for Recommendation Model Training via Erasure Coding Kaige Liu J. Kosaian K. V. Rashmi 62 4 0 05 Apr 2021
Accelerating Recommendation System Training by Leveraging Popular Choices Muhammad Adnan Yassaman Ebrahimzadeh Maboud Divyat Mahajan Prashant J. Nair 86 60 0 01 Mar 2021
Semantically Constrained Memory Allocation (SCMA) for Embedding in Efficient Recommendation Systems Aditya Desai Yanzhou Pan K. Sun Li Chou Anshumali Shrivastava 59 10 0 24 Feb 2021
Learnable Embedding Sizes for Recommender Systems Siyi Liu Chen Gao Yihong Chen Depeng Jin Yong Li 138 86 0 19 Jan 2021
Understanding Training Efficiency of Deep Learning Recommendation Models at Scale Bilge Acun Matthew Murphy Xiaodong Wang Jade Nie Carole-Jean Wu K. Hazelwood 95 113 0 11 Nov 2020
Mixed-Precision Embedding Using a Cache J. Yang Jianyu Huang Jongsoo Park P. T. P. Tang Andrew Tulloch 120 37 0 21 Oct 2020
Cross-Stack Workload Characterization of Deep Recommendation Systems Samuel Hsia Udit Gupta Mark Wilkening Carole-Jean Wu Gu-Yeon Wei David Brooks BDL GNN HAI 137 32 0 10 Oct 2020
Training with Multi-Layer Embeddings for Model Reduction Benjamin Ghaemmaghami Zihao Deng B. Cho Leo Orshansky A. Singh M. Erez Michael Orshansky 3DV 52 10 0 10 Jun 2020
Differentiable Neural Input Search for Recommender Systems Weiyu Cheng Yanyan Shen Linpeng Huang 75 36 0 08 Jun 2020
Anchor & Transform: Learning Sparse Embeddings for Large Vocabularies Paul Pu Liang Manzil Zaheer Yuan Wang Amr Ahmed BDL 50 1 0 18 Mar 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 91 190 0 08 Jan 2020