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On the Dimensionality of Embeddings for Sparse Features and Data

On the Dimensionality of Embeddings for Sparse Features and Data

7 January 2019
Maxim Naumov
ArXivPDFHTML

Papers citing "On the Dimensionality of Embeddings for Sparse Features and Data"

3 / 3 papers shown
Title
Time-based Sequence Model for Personalization and Recommendation Systems
Time-based Sequence Model for Personalization and Recommendation Systems
T. Ishkhanov
Maxim Naumov
Xianjie Chen
Yan Zhu
Yuan Zhong
A. Azzolini
Chonglin Sun
Frank Jiang
Andrey Malevich
Liang Xiong
30
16
0
27 Aug 2020
Optimizing Deep Learning Recommender Systems' Training On CPU Cluster
  Architectures
Optimizing Deep Learning Recommender Systems' Training On CPU Cluster Architectures
Dhiraj D. Kalamkar
E. Georganas
Sudarshan Srinivasan
Jianping Chen
Mikhail Shiryaev
A. Heinecke
53
47
0
10 May 2020
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
44
290
0
06 Jun 2019
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