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Understanding Scaling Laws for Recommendation Models

Understanding Scaling Laws for Recommendation Models

17 August 2022
Newsha Ardalani
Carole-Jean Wu
Zeliang Chen
Bhargav Bhushanam
Adnan Aziz
ArXivPDFHTML

Papers citing "Understanding Scaling Laws for Recommendation Models"

9 / 9 papers shown
Title
An Efficient Large Recommendation Model: Towards a Resource-Optimal Scaling Law
An Efficient Large Recommendation Model: Towards a Resource-Optimal Scaling Law
Songpei Xu
Shijia Wang
Da Guo
Xianwen Guo
Qiang Xiao
Fangjian Li
Chuanjiang Luo
76
0
0
17 Feb 2025
FuXi-$\alpha$: Scaling Recommendation Model with Feature Interaction Enhanced Transformer
FuXi-α\alphaα: Scaling Recommendation Model with Feature Interaction Enhanced Transformer
Yufei Ye
Wei Guo
Jin Yao Chin
Hao Wang
Hong Zhu
...
Yuyang Ye
Y. Liu
Ruiming Tang
Defu Lian
Enhong Chen
89
2
0
05 Feb 2025
Ad-Rec: Advanced Feature Interactions to Address Covariate-Shifts in
  Recommendation Networks
Ad-Rec: Advanced Feature Interactions to Address Covariate-Shifts in Recommendation Networks
Muhammad Adnan
Yassaman Ebrahimzadeh Maboud
Divyat Mahajan
Prashant J. Nair
16
3
0
28 Aug 2023
Improving Training Stability for Multitask Ranking Models in Recommender
  Systems
Improving Training Stability for Multitask Ranking Models in Recommender Systems
Jiaxi Tang
Yoel Drori
Daryl Chang
M. Sathiamoorthy
Justin Gilmer
Li Wei
Xinyang Yi
Lichan Hong
Ed H. Chi
6
10
0
17 Feb 2023
RecD: Deduplication for End-to-End Deep Learning Recommendation Model
  Training Infrastructure
RecD: Deduplication for End-to-End Deep Learning Recommendation Model Training Infrastructure
Mark Zhao
Dhruv Choudhary
Devashish Tyagi
A. Somani
Max Kaplan
...
Jongsoo Park
Aarti Basant
Niket Agarwal
Carole-Jean Wu
Christos Kozyrakis
VLM
10
6
0
09 Nov 2022
Scaling Laws for the Few-Shot Adaptation of Pre-trained Image
  Classifiers
Scaling Laws for the Few-Shot Adaptation of Pre-trained Image Classifiers
Gabriele Prato
Simon Guiroy
Ethan Caballero
Irina Rish
Sarath Chandar
VLM
34
11
0
13 Oct 2021
Deep Learning Training in Facebook Data Centers: Design of Scale-up and
  Scale-out Systems
Deep Learning Training in Facebook Data Centers: Design of Scale-up and Scale-out Systems
Maxim Naumov
John Kim
Dheevatsa Mudigere
Srinivas Sridharan
Xiaodong Wang
...
Krishnakumar Nair
Isabel Gao
Bor-Yiing Su
Jiyan Yang
M. Smelyanskiy
GNN
28
94
0
20 Mar 2020
Distributed Hierarchical GPU Parameter Server for Massive Scale Deep
  Learning Ads Systems
Distributed Hierarchical GPU Parameter Server for Massive Scale Deep Learning Ads Systems
Weijie Zhao
Deping Xie
Ronglai Jia
Yulei Qian
Rui Ding
Mingming Sun
P. Li
MoE
57
150
0
12 Mar 2020
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
226
4,424
0
23 Jan 2020
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