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ConvFormer: Revisiting Transformer for Sequential User Modeling

ConvFormer: Revisiting Transformer for Sequential User Modeling

5 August 2023
Hao Wang
Jianxun Lian
Mingyang Wu
Haoxuan Li
Jiajun Fan
Wanyue Xu
Chaozhuo Li
Xing Xie
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Papers citing "ConvFormer: Revisiting Transformer for Sequential User Modeling"

4 / 4 papers shown
Title
Efficient user history modeling with amortized inference for deep
  learning recommendation models
Efficient user history modeling with amortized inference for deep learning recommendation models
Lars Hertel
Neil Daftary
Fedor Borisyuk
Aman Gupta
Rahul Mazumder
76
1
0
09 Dec 2024
Filter-enhanced MLP is All You Need for Sequential Recommendation
Filter-enhanced MLP is All You Need for Sequential Recommendation
Kun Zhou
Hui Yu
Wayne Xin Zhao
Ji-Rong Wen
92
258
0
28 Feb 2022
MLP-Mixer: An all-MLP Architecture for Vision
MLP-Mixer: An all-MLP Architecture for Vision
Ilya O. Tolstikhin
N. Houlsby
Alexander Kolesnikov
Lucas Beyer
Xiaohua Zhai
...
Andreas Steiner
Daniel Keysers
Jakob Uszkoreit
Mario Lucic
Alexey Dosovitskiy
315
2,623
0
04 May 2021
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
952
20,643
0
17 Apr 2017
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