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DQRM: Deep Quantized Recommendation Models

DQRM: Deep Quantized Recommendation Models

26 October 2024
Yang Zhou
Zhen Dong
Ellick Chan
Dhiraj Kalamkar
Diana Marculescu
Kurt Keutzer
    MQ
ArXivPDFHTML

Papers citing "DQRM: Deep Quantized Recommendation Models"

11 / 11 papers shown
Title
CSQ: Growing Mixed-Precision Quantization Scheme with Bi-level
  Continuous Sparsification
CSQ: Growing Mixed-Precision Quantization Scheme with Bi-level Continuous Sparsification
Lirui Xiao
Huanrui Yang
Zhen Dong
Kurt Keutzer
Li Du
Shanghang Zhang
MQ
47
10
0
06 Dec 2022
NoisyQuant: Noisy Bias-Enhanced Post-Training Activation Quantization
  for Vision Transformers
NoisyQuant: Noisy Bias-Enhanced Post-Training Activation Quantization for Vision Transformers
Yijiang Liu
Huanrui Yang
Zhen Dong
Kurt Keutzer
Li Du
Shanghang Zhang
MQ
48
50
0
29 Nov 2022
Analysis of Quantization on MLP-based Vision Models
Analysis of Quantization on MLP-based Vision Models
Lingran Zhao
Zhen Dong
Kurt Keutzer
MQ
52
7
0
14 Sep 2022
Training Recommender Systems at Scale: Communication-Efficient Model and
  Data Parallelism
Training Recommender Systems at Scale: Communication-Efficient Model and Data Parallelism
Vipul Gupta
Dhruv Choudhary
P. T. P. Tang
Xiaohan Wei
Xing Wang
Yuzhen Huang
A. Kejariwal
Kannan Ramchandran
Michael W. Mahoney
48
33
0
18 Oct 2020
GOBO: Quantizing Attention-Based NLP Models for Low Latency and Energy
  Efficient Inference
GOBO: Quantizing Attention-Based NLP Models for Low Latency and Energy Efficient Inference
Ali Hadi Zadeh
Isak Edo
Omar Mohamed Awad
Andreas Moshovos
MQ
53
188
0
08 May 2020
HAWQ-V2: Hessian Aware trace-Weighted Quantization of Neural Networks
HAWQ-V2: Hessian Aware trace-Weighted Quantization of Neural Networks
Zhen Dong
Z. Yao
Yaohui Cai
Daiyaan Arfeen
A. Gholami
Michael W. Mahoney
Kurt Keutzer
MQ
77
279
0
10 Nov 2019
Reducing Transformer Depth on Demand with Structured Dropout
Reducing Transformer Depth on Demand with Structured Dropout
Angela Fan
Edouard Grave
Armand Joulin
111
591
0
25 Sep 2019
The Architectural Implications of Facebook's DNN-based Personalized
  Recommendation
The Architectural Implications of Facebook's DNN-based Personalized Recommendation
Udit Gupta
Carole-Jean Wu
Xiaodong Wang
Maxim Naumov
Brandon Reagen
...
Andrey Malevich
Dheevatsa Mudigere
M. Smelyanskiy
Liang Xiong
Xuan Zhang
GNN
73
290
0
06 Jun 2019
Deep Learning Recommendation Model for Personalization and
  Recommendation Systems
Deep Learning Recommendation Model for Personalization and Recommendation Systems
Maxim Naumov
Dheevatsa Mudigere
Hao-Jun Michael Shi
Jianyu Huang
Narayanan Sundaraman
...
Wenlin Chen
Vijay Rao
Bill Jia
Liang Xiong
M. Smelyanskiy
85
732
0
31 May 2019
Learned Step Size Quantization
Learned Step Size Quantization
S. K. Esser
J. McKinstry
Deepika Bablani
R. Appuswamy
D. Modha
MQ
69
798
0
21 Feb 2019
PACT: Parameterized Clipping Activation for Quantized Neural Networks
PACT: Parameterized Clipping Activation for Quantized Neural Networks
Jungwook Choi
Zhuo Wang
Swagath Venkataramani
P. Chuang
Vijayalakshmi Srinivasan
K. Gopalakrishnan
MQ
58
947
0
16 May 2018
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