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AutoInt: Automatic Feature Interaction Learning via Self-Attentive
  Neural Networks
v1v2 (latest)

AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks

29 October 2018
Weiping Song
Chence Shi
Zhiping Xiao
Zhijian Duan
Yewen Xu
Ming Zhang
Jian Tang
    CML
ArXiv (abs)PDFHTMLGithub (1117★)

Papers citing "AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks"

50 / 279 papers shown
Title
Facet-Aware Multi-Head Mixture-of-Experts Model for Sequential Recommendation
Facet-Aware Multi-Head Mixture-of-Experts Model for Sequential Recommendation
Mingrui Liu
Sixiao Zhang
Cheng Long
113
0
0
03 Nov 2024
TabM: Advancing Tabular Deep Learning with Parameter-Efficient Ensembling
TabM: Advancing Tabular Deep Learning with Parameter-Efficient Ensembling
Yury Gorishniy
Akim Kotelnikov
Artem Babenko
LMTDMoE
276
13
0
31 Oct 2024
TabSeq: A Framework for Deep Learning on Tabular Data via Sequential
  Ordering
TabSeq: A Framework for Deep Learning on Tabular Data via Sequential Ordering
A. Habib
Kesheng Wang
Mary-Anne Hartley
Gianfranco Doretto
Donald Adjeroh
LMTD
125
1
0
17 Oct 2024
Towards Scalable Semantic Representation for Recommendation
Towards Scalable Semantic Representation for Recommendation
Taolin Zhang
Junwei Pan
Jinqiao Wang
Yaohua Zha
Tao Dai
...
Xiaoxiang Deng
Yuan Wang
Ming Yue
Jie Jiang
Shu-Tao Xia
118
4
0
12 Oct 2024
DISCO: A Hierarchical Disentangled Cognitive Diagnosis Framework for
  Interpretable Job Recommendation
DISCO: A Hierarchical Disentangled Cognitive Diagnosis Framework for Interpretable Job Recommendation
Xiaoshan Yu
Chuan Qin
Qi Zhang
Chen Zhu
Haiping Ma
Xingyi Zhang
Hengshu Zhu
102
4
0
10 Oct 2024
T-JEPA: Augmentation-Free Self-Supervised Learning for Tabular Data
T-JEPA: Augmentation-Free Self-Supervised Learning for Tabular Data
Hugo Thimonier
José Lucas De Melo Costa
Fabrice Popineau
Arpad Rimmel
Bich-Liên Doan
129
2
0
07 Oct 2024
Adaptive Learning on User Segmentation: Universal to Specific
  Representation via Bipartite Neural Interaction
Adaptive Learning on User Segmentation: Universal to Specific Representation via Bipartite Neural Interaction
Jue Chen
Yongxin Deng
Chao Qu
Siqiao Xue
Xiaoming Shi
James Zhang
Xihe Qiu
91
2
0
23 Sep 2024
TabGraphs: A Benchmark and Strong Baselines for Learning on Graphs with
  Tabular Node Features
TabGraphs: A Benchmark and Strong Baselines for Learning on Graphs with Tabular Node Features
Gleb Bazhenov
Oleg Platonov
Liudmila Prokhorenkova
LMTD
56
1
0
22 Sep 2024
NeSHFS: Neighborhood Search with Heuristic-based Feature Selection for
  Click-Through Rate Prediction
NeSHFS: Neighborhood Search with Heuristic-based Feature Selection for Click-Through Rate Prediction
Dogukan Aksu
I. H. Toroslu
Hasan Davulcu
63
0
0
13 Sep 2024
Modeling Reference-dependent Choices with Graph Neural Networks
Modeling Reference-dependent Choices with Graph Neural Networks
Liang Zhang
Guannan Liu
Junjie Wu
Yong Tan
HAI
46
0
0
21 Aug 2024
Beyond KAN: Introducing KarSein for Adaptive High-Order Feature Interaction Modeling in CTR Prediction
Beyond KAN: Introducing KarSein for Adaptive High-Order Feature Interaction Modeling in CTR Prediction
Yunxiao Shi
Wujiang Xu
Mingyu Jin
Haimin Zhang
Qiang Wu
115
1
0
16 Aug 2024
Class-aware and Augmentation-free Contrastive Learning from Label
  Proportion
Class-aware and Augmentation-free Contrastive Learning from Label Proportion
Jialiang Wang
Ning Zhang
Shimin Di
Ruidong Wang
Lei Chen
33
0
0
13 Aug 2024
Lifelong Personalized Low-Rank Adaptation of Large Language Models for
  Recommendation
Lifelong Personalized Low-Rank Adaptation of Large Language Models for Recommendation
Jiachen Zhu
Jianghao Lin
Xinyi Dai
Bo Chen
Rong Shan
Jieming Zhu
Ruiming Tang
Yong Yu
Weinan Zhang
OffRL
90
4
0
07 Aug 2024
FedUD: Exploiting Unaligned Data for Cross-Platform Federated
  Click-Through Rate Prediction
FedUD: Exploiting Unaligned Data for Cross-Platform Federated Click-Through Rate Prediction
Wentao Ouyang
Rui Dong
Ri Tao
Xiangzheng Liu
FedML
49
2
0
26 Jul 2024
TWIN V2: Scaling Ultra-Long User Behavior Sequence Modeling for Enhanced
  CTR Prediction at Kuaishou
TWIN V2: Scaling Ultra-Long User Behavior Sequence Modeling for Enhanced CTR Prediction at Kuaishou
Zihua Si
Lin Guan
Zhongxiang Sun
Xiaoxue Zang
Jing Lu
...
Kai Zheng
Chenbin Zhang
Ya-Ling Niu
Yang Song
Kun Gai
93
9
0
23 Jul 2024
Low Rank Field-Weighted Factorization Machines for Low Latency Item
  Recommendation
Low Rank Field-Weighted Factorization Machines for Low Latency Item Recommendation
Alicia Y. Tsai
Michael Viderman
Anahita Hosseini
Zemin Zhang
Ariel Raviv
Lichan Hong
45
0
0
22 Jul 2024
Conditional Quantile Estimation for Uncertain Watch Time in Short-Video Recommendation
Conditional Quantile Estimation for Uncertain Watch Time in Short-Video Recommendation
Chengzhi Lin
Shuchang Liu
Chuyuan Wang
Yongqi Liu
65
4
0
17 Jul 2024
A Bag of Tricks for Scaling CPU-based Deep FFMs to more than 300m
  Predictions per Second
A Bag of Tricks for Scaling CPU-based Deep FFMs to more than 300m Predictions per Second
Blaž Škrlj
Benjamin Ben-Shalom
Grega Gaspersic
Adi Schwartz
Ramzi Hoseisi
Naama Ziporin
Davorin Kopic
Andraz Tori
80
0
0
14 Jul 2024
Team up GBDTs and DNNs: Advancing Efficient and Effective Tabular
  Prediction with Tree-hybrid MLPs
Team up GBDTs and DNNs: Advancing Efficient and Effective Tabular Prediction with Tree-hybrid MLPs
Jiahuan Yan
Jintai Chen
Qianxing Wang
Danny Chen
Jian Wu
95
3
0
13 Jul 2024
PTaRL: Prototype-based Tabular Representation Learning via Space
  Calibration
PTaRL: Prototype-based Tabular Representation Learning via Space Calibration
Hangting Ye
Wei Fan
Xiaozhuang Song
Shun Zheng
He Zhao
Dandan Guo
Yi Chang
OOD
102
25
0
07 Jul 2024
TALENT: A Tabular Analytics and Learning Toolbox
TALENT: A Tabular Analytics and Learning Toolbox
Si-Yang Liu
Hao-Run Cai
Qi-Le Zhou
Han-Jia Ye
LMTD
79
7
0
04 Jul 2024
Polyhedral Conic Classifier for CTR Prediction
Polyhedral Conic Classifier for CTR Prediction
Beyza Türkmen
Ramazan Tarik Türksoy
Hasan Saribas
Hakan Çevikalp
68
0
0
06 Jun 2024
Dynamic and Adaptive Feature Generation with LLM
Dynamic and Adaptive Feature Generation with LLM
Xinhao Zhang
Jinghan Zhang
Banafsheh Rekabdar
Yuanchun Zhou
Pengfei Wang
Kunpeng Liu
107
22
0
04 Jun 2024
Cross-Table Pretraining towards a Universal Function Space for
  Heterogeneous Tabular Data
Cross-Table Pretraining towards a Universal Function Space for Heterogeneous Tabular Data
Jintai Chen
Zhen Lin
Qiyuan Chen
Jimeng Sun
LMTD
94
1
0
01 Jun 2024
Cognitive Evolutionary Learning to Select Feature Interactions for
  Recommender Systems
Cognitive Evolutionary Learning to Select Feature Interactions for Recommender Systems
Runlong Yu
Qixiang Shao
Qi Liu
Huan Liu
Enhong Chen
75
0
0
29 May 2024
Unified Low-rank Compression Framework for Click-through Rate Prediction
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
DisCo: Towards Harmonious Disentanglement and Collaboration between
  Tabular and Semantic Space for Recommendation
DisCo: Towards Harmonious Disentanglement and Collaboration between Tabular and Semantic Space for Recommendation
Kounianhua Du
Jizheng Chen
Jianghao Lin
Yunjia Xi
Hangyu Wang
Xinyi Dai
Bo Chen
Ruiming Tang
Weinan Zhang
76
7
0
20 May 2024
A Click-Through Rate Prediction Method Based on Cross-Importance of
  Multi-Order Features
A Click-Through Rate Prediction Method Based on Cross-Importance of Multi-Order Features
Hao Wang
Nao Li
50
0
0
14 May 2024
A Federated Learning Benchmark on Tabular Data: Comparing Tree-Based
  Models and Neural Networks
A Federated Learning Benchmark on Tabular Data: Comparing Tree-Based Models and Neural Networks
William Lindskog
Christian Prehofer
FedML
98
2
0
03 May 2024
Retrieval-Oriented Knowledge for Click-Through Rate Prediction
Retrieval-Oriented Knowledge for Click-Through Rate Prediction
Huanshuo Liu
Bo Chen
Menghui Zhu
Jianghao Lin
Jiarui Qin
Yang Yang
Hao Zhang
Ruiming Tang
51
3
0
28 Apr 2024
HashPoint: Accelerated Point Searching and Sampling for Neural Rendering
HashPoint: Accelerated Point Searching and Sampling for Neural Rendering
Jiahao Ma
Miaomiao Liu
David Ahmedt-Aristizabal
Chuong H. Nguyen
100
1
0
22 Apr 2024
Oblique-MERF: Revisiting and Improving MERF for Oblique Photography
Oblique-MERF: Revisiting and Improving MERF for Oblique Photography
Xiaoyi Zeng
Kaiwen Song
Leyuan Yang
Bailin Deng
Juyong Zhang
86
0
0
15 Apr 2024
Collaborative-Enhanced Prediction of Spending on Newly Downloaded Mobile
  Games under Consumption Uncertainty
Collaborative-Enhanced Prediction of Spending on Newly Downloaded Mobile Games under Consumption Uncertainty
Peijie Sun
Yifan Wang
Min Zhang
Chuhan Wu
Yan Fang
Hong Zhu
Yuan Fang
Meng Wang
OffRL
54
10
0
12 Apr 2024
Accelerating Recommender Model Training by Dynamically Skipping Stale
  Embeddings
Accelerating Recommender Model Training by Dynamically Skipping Stale Embeddings
Yassaman Ebrahimzadeh Maboud
Muhammad Adnan
Divyat Mahajan
Prashant J. Nair
AI4TS
124
0
0
22 Mar 2024
Wukong: Towards a Scaling Law for Large-Scale Recommendation
Wukong: Towards a Scaling Law for Large-Scale Recommendation
Buyun Zhang
Liang Luo
Yuxin Chen
Jade Nie
Xi Liu
...
Guna Lakshminarayanan
Ellie Wen
Jongsoo Park
Maxim Naumov
Wenlin Chen
ALM
98
32
0
04 Mar 2024
Making Pre-trained Language Models Great on Tabular Prediction
Making Pre-trained Language Models Great on Tabular Prediction
Jiahuan Yan
Bo Zheng
Hongxia Xu
Yiheng Zhu
Danny Chen
Jimeng Sun
Jian Wu
Jintai Chen
LMTD
121
44
0
04 Mar 2024
Ads Recommendation in a Collapsed and Entangled World
Ads Recommendation in a Collapsed and Entangled World
Junwei Pan
Wei Xue
Ximei Wang
Haibin Yu
Xun Liu
Shijie Quan
Xueming Qiu
Dapeng Liu
Lei Xiao
Jie Jiang
101
9
0
22 Feb 2024
Self-Guided Masked Autoencoders for Domain-Agnostic Self-Supervised
  Learning
Self-Guided Masked Autoencoders for Domain-Agnostic Self-Supervised Learning
Johnathan Xie
Yoonho Lee
Annie S. Chen
Chelsea Finn
79
3
0
22 Feb 2024
Graph Structure Inference with BAM: Introducing the Bilinear Attention
  Mechanism
Graph Structure Inference with BAM: Introducing the Bilinear Attention Mechanism
Philipp Froehlich
Heinz Koeppl
GNN
55
2
0
12 Feb 2024
LiRank: Industrial Large Scale Ranking Models at LinkedIn
LiRank: Industrial Large Scale Ranking Models at LinkedIn
Fedor Borisyuk
Mingzhou Zhou
Qingquan Song
Siyu Zhu
B. Tiwana
...
Chen-Chen Jiang
Haichao Wei
Maneesh Varshney
Amol Ghoting
Souvik Ghosh
59
2
0
10 Feb 2024
Arithmetic Feature Interaction Is Necessary for Deep Tabular Learning
Arithmetic Feature Interaction Is Necessary for Deep Tabular Learning
Yi Cheng
Renjun Hu
Haochao Ying
Xing Shi
Jian Wu
Wei Lin
LMTD
106
10
0
04 Feb 2024
NeuV-SLAM: Fast Neural Multiresolution Voxel Optimization for RGBD Dense
  SLAM
NeuV-SLAM: Fast Neural Multiresolution Voxel Optimization for RGBD Dense SLAM
Wenzhi Guo
Bing Wang
Lijun Chen
80
3
0
03 Feb 2024
MambaTab: A Plug-and-Play Model for Learning Tabular Data
MambaTab: A Plug-and-Play Model for Learning Tabular Data
Md Atik Ahamed
Qiang Cheng
MambaLMTD
80
13
0
16 Jan 2024
Deep Evolutional Instant Interest Network for CTR Prediction in
  Trigger-Induced Recommendation
Deep Evolutional Instant Interest Network for CTR Prediction in Trigger-Induced Recommendation
Zhibo Xiao
Luwei Yang
Tao Zhang
Wen Jiang
Wei Ning
Yujiu Yang
62
5
0
15 Jan 2024
GACE: Learning Graph-Based Cross-Page Ads Embedding For Click-Through
  Rate Prediction
GACE: Learning Graph-Based Cross-Page Ads Embedding For Click-Through Rate Prediction
Haowen Wang
Yuliang Du
Congyun Jin
Yujiao Li
Yingbo Wang
Tao Sun
Piqi Qin
Cong Fan
GNN
59
0
0
15 Jan 2024
Fine-Grained Embedding Dimension Optimization During Training for
  Recommender Systems
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
72
0
0
09 Jan 2024
Attention versus Contrastive Learning of Tabular Data -- A Data-centric
  Benchmarking
Attention versus Contrastive Learning of Tabular Data -- A Data-centric Benchmarking
S. B. Rabbani
Ivan V. Medri
Manar D. Samad
83
8
0
08 Jan 2024
SwitchTab: Switched Autoencoders Are Effective Tabular Learners
SwitchTab: Switched Autoencoders Are Effective Tabular Learners
Jing Wu
Suiyao Chen
Qi Zhao
Renat Sergazinov
Chen Li
...
Tianpei Xie
Hanqing Guo
Cheng Ji
Daniel Cociorva
Hakan Brunzel
SSL
104
46
0
04 Jan 2024
Volumetric Rendering with Baked Quadrature Fields
Volumetric Rendering with Baked Quadrature Fields
Gopal Sharma
Daniel Rebain
Kwang Moo Yi
Andrea Tagliasacchi
66
5
0
02 Dec 2023
SSIN: Self-Supervised Learning for Rainfall Spatial Interpolation
SSIN: Self-Supervised Learning for Rainfall Spatial Interpolation
Jia Li
Yanyan Shen
Lei Chen
Charles Wang Wai Ng
60
3
0
27 Nov 2023
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