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

29 October 2018

Jian Tang

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

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Title
ExcelFormer: A neural network surpassing GBDTs on tabular data Jintai Chen Jiahuan Yan Qiyuan Chen Danny Chen Jian Wu Jimeng Sun LMTD 165 27 0 07 Jan 2023
AdaEnsemble: Learning Adaptively Sparse Structured Ensemble Network for Click-Through Rate Prediction Yachen Yan Liubo Li 84 3 0 06 Jan 2023
xDeepInt: a hybrid architecture for modeling the vector-wise and bit-wise feature interactions Yachen Yan Liubo Li 66 9 0 03 Jan 2023
DynInt: Dynamic Interaction Modeling for Large-scale Click-Through Rate Prediction Yachen Yan Liubo Li 58 0 0 03 Jan 2023
Quant 4.0: Engineering Quantitative Investment with Automated, Explainable and Knowledge-driven Artificial Intelligence Jian Guo Saizhuo Wang L. Ni H. Shum AIFin 95 8 0 13 Dec 2022
Pareto Pairwise Ranking for Fairness Enhancement of Recommender Systems Hao Wang 32 4 0 06 Dec 2022
CL4CTR: A Contrastive Learning Framework for CTR Prediction Fang Wang Yingxu Wang Dongsheng Li Hansu Gu Tun Lu Peng Zhang Ning Gu SSL 54 47 0 01 Dec 2022
T2G-Former: Organizing Tabular Features into Relation Graphs Promotes Heterogeneous Feature Interaction Jiahuan Yan Jintai Chen YiXuan Wu Danny Chen Jian Wu 93 39 0 30 Nov 2022
BASM: A Bottom-up Adaptive Spatiotemporal Model for Online Food Ordering Service Boya Du Shaochuan Lin Jiong Gao Xiyu Ji Mengya Wang Taotao Zhou Hengxu He Jia Jia Ning Hu 84 6 0 22 Nov 2022
OpenFE: Automated Feature Generation with Expert-level Performance Tianze Zhang Zheyu Zhang Zhiyuan Fan Haoyan Luo Feng Liu Qian Liu Wei Cao Jian Li VLM 47 30 0 22 Nov 2022
Directed Acyclic Graph Factorization Machines for CTR Prediction via Knowledge Distillation Zhen Tian Ting Bai Ziyan Zhang Zhiyuan Xu Kangyi Lin Ji-Rong Wen Wayne Xin Zhao 73 19 0 21 Nov 2022
Local Contrastive Feature learning for Tabular Data Zhabiz Gharibshah Xingquan Zhu SSL 40 9 0 19 Nov 2022
MemoNet: Memorizing All Cross Features' Representations Efficiently via Multi-Hash Codebook Network for CTR Prediction P. Zhang Junlin Zhang 52 3 0 25 Oct 2022
Tele-Knowledge Pre-training for Fault Analysis Zhuo Chen Wen Zhang Yufen Huang Yin Hua Yuxia Geng ... Song Jiang Zhaoyang Lian Yuchen Li Lei Cheng Hua-zeng Chen 97 17 0 20 Oct 2022
Deep Multi-Representation Model for Click-Through Rate Prediction Shereen Elsayed Lars Schmidt-Thieme 3DV 25 2 0 18 Oct 2022
MCP: Self-supervised Pre-training for Personalized Chatbots with Multi-level Contrastive Sampling Zhaoheng Huang Zhicheng Dou Yutao Zhu Zhengyi Ma 107 8 0 17 Oct 2022
SML:Enhance the Network Smoothness with Skip Meta Logit for CTR Prediction Wenlong Deng Lang Lang Ziqiang Liu B. Liu 106 0 0 09 Oct 2022
DreamShard: Generalizable Embedding Table Placement for Recommender Systems Daochen Zha Louis Feng Qiaoyu Tan Zirui Liu Kwei-Herng Lai Bhargav Bhushanam Yuandong Tian A. Kejariwal Helen Zhou LMTD OffRL 89 28 0 05 Oct 2022
Boost CTR Prediction for New Advertisements via Modeling Visual Content Tan Yu Zhipeng Jin Jie Liu Yi Yang Hongliang Fei Ping Li 64 8 0 23 Sep 2022
FiBiNet++: Reducing Model Size by Low Rank Feature Interaction Layer for CTR Prediction P. Zhang Zheng Zheng Junlin Zhang 79 10 0 12 Sep 2022
Stochastic gradient descent with gradient estimator for categorical features Paul Peseux Maxime Bérar Thierry Paquet Victor Nicollet 99 0 0 08 Sep 2022
Online Meta-Learning for Model Update Aggregation in Federated Learning for Click-Through Rate Prediction Xianghang Liu Bartlomiej Twardowski Tri Kurniawan Wijaya FedML 72 2 0 30 Aug 2022
HDR-Plenoxels: Self-Calibrating High Dynamic Range Radiance Fields Kim Jun-Seong Kim Yu-Ji Moon Ye-Bin Tae-Hyun Oh 73 42 0 14 Aug 2022
AutoShard: Automated Embedding Table Sharding for Recommender Systems Daochen Zha Louis Feng Bhargav Bhushanam Dhruv Choudhary Jade Nie Yuandong Tian Jay Chae Yi-An Ma A. Kejariwal Helen Zhou 85 32 0 12 Aug 2022
ReFRS: Resource-efficient Federated Recommender System for Dynamic and Diversified User Preferences Mubashir Imran Hongzhi Yin Tong Chen Nguyen Quoc Viet Hung Alexander Zhou Kai Zheng 85 72 0 28 Jul 2022
$The trade-offs of model size in large recommendation models : A 10000 $\times$ compressed criteo-tb DLRM model (100 GB parameters to mere 10MB)$ The trade-offs of model size in large recommendation models : A 10000 $\times$ compressed criteo-tb DLRM model (100 GB parameters to mere 10MB) Aditya Desai Anshumali Shrivastava AI4CE 48 3 0 21 Jul 2022
NASRec: Weight Sharing Neural Architecture Search for Recommender Systems Tunhou Zhang Dehua Cheng Yuchen He Zhengxing Chen Xiaoliang Dai Liang Xiong Feng Yan H. Li Yiran Chen W. Wen 72 17 0 14 Jul 2022
Revisiting Pretraining Objectives for Tabular Deep Learning Ivan Rubachev Artem Alekberov Yu. V. Gorishniy Artem Babenko LMTD 58 47 0 07 Jul 2022
Transfer Learning with Deep Tabular Models Roman Levin Valeriia Cherepanova Avi Schwarzschild Arpit Bansal C. Bayan Bruss Tom Goldstein A. Wilson Micah Goldblum OOD FedML LMTD 139 64 0 30 Jun 2022
Detecting Arbitrary Order Beneficial Feature Interactions for Recommender Systems Yixin Su Yunxiang Zhao S. Erfani Junhao Gan Rui Zhang 350 24 0 28 Jun 2022
Meta-Wrapper: Differentiable Wrapping Operator for User Interest Selection in CTR Prediction Tianwei Cao Qianqian Xu Zhiyong Yang Qingming Huang 53 7 0 28 Jun 2022
PHN: Parallel heterogeneous network with soft gating for CTR prediction Ri-Qi Su Alphonse Houssou Hounye Cong Cao Muzhou Hou 113 1 0 18 Jun 2022
FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning Tao Qi Fangzhao Wu Chuhan Wu Lingjuan Lyu Tongye Xu Zhongliang Yang Yongfeng Huang Xing Xie FedML 88 40 0 07 Jun 2022
Hopular: Modern Hopfield Networks for Tabular Data Bernhard Schafl Lukas Gruber Angela Bitto-Nemling Sepp Hochreiter LMTD 71 28 0 01 Jun 2022
BRIGHT -- Graph Neural Networks in Real-Time Fraud Detection Mingxuan Lu Zhichao Han Susie Xi Rao Zitao Zhang Yang Zhao Yinan Shan Ramesh Raghunathan Ce Zhang Jiawei Jiang GNN 38 33 0 25 May 2022
TransTab: Learning Transferable Tabular Transformers Across Tables Zifeng Wang Jimeng Sun LMTD 85 151 0 19 May 2022
Pixel2Mesh++: 3D Mesh Generation and Refinement from Multi-View Images Chao Wen Yinda Zhang Chenjie Cao Zhuwen Li Xiangyang Xue Yanwei Fu 3DV 64 17 0 21 Apr 2022
AutoField: Automating Feature Selection in Deep Recommender Systems Yejing Wang Xiang Zhao Tong Xu Xianren Wu 65 67 0 19 Apr 2022
CowClip: Reducing CTR Prediction Model Training Time from 12 hours to 10 minutes on 1 GPU Zangwei Zheng Peng Xu Xuan Zou Da Tang Zhen Li ... Xiangzhuo Ding Fuzhao Xue Ziheng Qing Youlong Cheng Yang You VLM 80 7 0 13 Apr 2022
CARCA: Context and Attribute-Aware Next-Item Recommendation via Cross-Attention Ahmed Rashed Shereen Elsayed Lars Schmidt-Thieme 52 65 0 04 Apr 2022
APG: Adaptive Parameter Generation Network for Click-Through Rate Prediction Bencheng Yan Pengjie Wang Kai Zhang Feng Li Hongbo Deng Jian Xu Bo Zheng 59 20 0 30 Mar 2022
Enhancement of Novel View Synthesis Using Omnidirectional Image Completion T. Hara Tatsuya Harada 73 11 0 18 Mar 2022
DHEN: A Deep and Hierarchical Ensemble Network for Large-Scale Click-Through Rate Prediction Buyun Zhang Liangchen Luo Xi Liu Jay Li Zeliang Chen ... Yasmine Badr Jongsoo Park Jiyan Yang Dheevatsa Mudigere Ellie Wen 3DV 52 12 0 11 Mar 2022
On Embeddings for Numerical Features in Tabular Deep Learning Yura Gorishniy Ivan Rubachev Artem Babenko LMTD 115 179 0 10 Mar 2022
Filter-enhanced MLP is All You Need for Sequential Recommendation Kun Zhou Hui Yu Wayne Xin Zhao Ji-Rong Wen 153 274 0 28 Feb 2022
Deep Interest Highlight Network for Click-Through Rate Prediction in Trigger-Induced Recommendation Qi Shen Hong Wen Wanjie Tao Jing Zhang Fuyu Lv Zulong Chen Zhao Li 62 47 0 05 Feb 2022
A Context-Integrated Transformer-Based Neural Network for Auction Design Zhijian Duan Jin-Lin Tang Yutong Yin Zhe Feng Xiang Yan Manzil Zaheer Xiaotie Deng 52 27 0 29 Jan 2022
Deep Unified Representation for Heterogeneous Recommendation Chengqiang Lu Mingyang Yin Shuheng Shen Luo Ji Qi Liu Hongxia Yang DML 26 6 0 15 Jan 2022
The GatedTabTransformer. An enhanced deep learning architecture for tabular modeling Radostin Cholakov T. Kolev LMTD 61 13 0 01 Jan 2022
Enhanced Exploration in Neural Feature Selection for Deep Click-Through Rate Prediction Models via Ensemble of Gating Layers L. Guan Xia Xiao Ming-yue Chen Youlong Cheng 49 1 0 07 Dec 2021