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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
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Arbitrary Distribution Modeling with Censorship in Real-Time Bidding Advertising Xu Li Michelle Ma Zhang Youjun Tong Zhenya Wang 35 9 0 26 Oct 2021
Differentiable NAS Framework and Application to Ads CTR Prediction Ravi Krishna Aravind Kalaiah Bichen Wu Maxim Naumov Dheevatsa Mudigere M. Smelyanskiy Kurt Keutzer 62 8 0 25 Oct 2021
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Explainable Student Performance Prediction With Personalized Attention for Explaining Why A Student Fails Kun Niu Xipeng Cao Yicong Yu 56 2 0 15 Oct 2021
Click-through Rate Prediction with Auto-Quantized Contrastive Learning Yujie Pan Jiangchao Yao Bo Han Kunyang Jia Ya Zhang Hongxia Yang MQ 77 18 0 27 Sep 2021
Modeling Dynamic Attributes for Next Basket Recommendation Yong-Guang Chen Jia Li Chenghao Liu Chenxi Li M. Anderle Julian McAuley Caiming Xiong 93 18 0 23 Sep 2021
Secure Your Ride: Real-time Matching Success Rate Prediction for Passenger-Driver Pairs Yuandong Wang Hongzhi Yin Lian Wu Tong Chen Chunyang Liu 46 7 0 14 Sep 2021
Binary Code based Hash Embedding for Web-scale Applications Bencheng Yan Pengjie Wang Jinquan Liu Wei-Chao Lin Kuang-chih Lee Jian Xu Bo Zheng 67 20 0 24 Aug 2021
Learning Effective and Efficient Embedding via an Adaptively-Masked Twins-based Layer Bencheng Yan Pengjie Wang Kai Zhang Wei Lin Kuang-chih Lee Jian Xu Bo Zheng 75 27 0 24 Aug 2021
Spatial-Temporal Deep Intention Destination Networks for Online Travel Planning Yu Li Fei Xiong Ziyi Wang Zulong Chen Chuanfei Xu Yuyu Yin Li Zhou 21 8 0 09 Aug 2021
Simple Modifications to Improve Tabular Neural Networks J. Fiedler LMTD 127 19 0 06 Aug 2021
$Random Offset Block Embedding Array (ROBE) for CriteoTB Benchmark MLPerf DLRM Model : 1000$\times$ Compression and 3.1$\times$ Faster Inference$ Random Offset Block Embedding Array (ROBE) for CriteoTB Benchmark MLPerf DLRM Model : 1000 $\times$ Compression and 3.1 $\times$ Faster Inference Aditya Desai Li Chou Anshumali Shrivastava AI4CE 50 6 0 04 Aug 2021
PPT Fusion: Pyramid Patch Transformerfor a Case Study in Image Fusion Yu Fu Tianyang Xu Xiaojun Wu J. Kittler ViT 63 40 0 29 Jul 2021
ContextNet: A Click-Through Rate Prediction Framework Using Contextual information to Refine Feature Embedding Zhiqiang Wang Qingyun She Pengtao Zhang Junlin Zhang 50 8 0 26 Jul 2021
Leaf-FM: A Learnable Feature Generation Factorization Machine for Click-Through Rate Prediction Qingyun She Zhiqiang Wang Junlin Zhang 42 1 0 26 Jul 2021
Denoising User-aware Memory Network for Recommendation Zhiwei. Bian Shaojun Zhou Hao Xu Qihong Yang Zhenqi Sun Junjie Tang Guiquan Liu Kaikui Liu Xiaolong Li HAI AI4TS 101 36 0 12 Jul 2021
Proceedings of the First Workshop on Weakly Supervised Learning (WeaSuL) Michael A. Hedderich Benjamin Roth Katharina Kann Barbara Plank Alex Ratner Dietrich Klakow 60 0 0 08 Jul 2021
FINT: Field-aware INTeraction Neural Network For CTR Prediction Zhishan Zhao Sen Yang Guohui Liu Dawei Feng Ke Xu 47 9 0 05 Jul 2021
SHORING: Design Provable Conditional High-Order Interaction Network via Symbolic Testing Hui Li Xingbo Fu Ruofan Wu Jinyu Xu Kai Y. Xiao ... Weiqiang Wang Shuai Chen Leilei Shi Tao Xiong Yuan Qi AI4TS 21 0 0 03 Jul 2021
Online Interaction Detection for Click-Through Rate Prediction Qiuqiang Lin Chuanhou Gao 47 0 0 27 Jun 2021
Improving Sequential Recommendation Consistency with Self-Supervised Imitation Xu Yuan Hongshen Chen Yonghao Song Xiaofang Zhao Zhuoye Ding Zhen He Bo Long 57 22 0 26 Jun 2021
Revisiting Deep Learning Models for Tabular Data Yu. V. Gorishniy Ivan Rubachev Valentin Khrulkov Artem Babenko LMTD 138 780 0 22 Jun 2021
DisenHAN: Disentangled Heterogeneous Graph Attention Network for Recommendation Yifan Wang Suyao Tang Yuntong Lei Weiping Song Sheng Wang Ming Zhang 88 141 0 21 Jun 2021
AutoLoss: Automated Loss Function Search in Recommendations Xiangyu Zhao Haochen Liu Wenqi Fan Hui Liu Jiliang Tang Chong Wang 78 60 0 12 Jun 2021
Muddling Label Regularization: Deep Learning for Tabular Datasets Karim Lounici Katia Méziani Benjamin Riu 85 6 0 08 Jun 2021
Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning Jannik Kossen Neil Band Clare Lyle Aidan Gomez Tom Rainforth Y. Gal OOD 3DPC 116 142 0 04 Jun 2021
Explainable Enterprise Credit Rating via Deep Feature Crossing Network Weiyu Guo Zhijiang Yang Shu Wu Fu Chen FedML 49 3 0 22 May 2021
Learning Graph Meta Embeddings for Cold-Start Ads in Click-Through Rate Prediction W. Ouyang Xiuwu Zhang Shukui Ren Li Li Kun Zhang Jinmei Luo Zhaojie Liu Yanlong Du 53 46 0 19 May 2021
DCAP: Deep Cross Attentional Product Network for User Response Prediction Zekai Chen Fangtian Zhong Zhumin Chen Xiao Zhang Robert Pless Xiuzhen Cheng 64 11 0 18 May 2021
Explicit Semantic Cross Feature Learning via Pre-trained Graph Neural Networks for CTR Prediction Feng Li Bencheng Yan Qingqing Long Pengjie Wang Wei Lin Jian Xu Bo Zheng GNN 117 17 0 17 May 2021
Looking at CTR Prediction Again: Is Attention All You Need? Yuan Cheng Yanbo Xue CML HAI 55 19 0 12 May 2021
Neural Graph Matching based Collaborative Filtering Yixin Su Rui Zhang S. Erfani Junhao Gan 107 48 0 10 May 2021
Click-Through Rate Prediction Using Graph Neural Networks and Online Learning F. Rajabi J. He GNN 3DV 42 2 0 09 May 2021
PyTorch Tabular: A Framework for Deep Learning with Tabular Data Manu Joseph LMTD 78 39 0 28 Apr 2021
Efficient Click-Through Rate Prediction for Developing Countries via Tabular Learning Joonyoung Yi Buru Chang 22 1 0 15 Apr 2021
Random Intersection Chains Qiuqiang Lin Chuanhou Gao AI4TS 29 2 0 10 Apr 2021
DexDeepFM: Ensemble Diversity Enhanced Extreme Deep Factorization Machine Model Ling-Hao Chen Hongyu Shi 18 8 0 05 Apr 2021
Quaternion Factorization Machines: A Lightweight Solution to Intricate Feature Interaction Modelling Tong Chen Hongzhi Yin Xiangliang Zhang Zi Huang Yang Wang Meng Wang 133 12 0 05 Apr 2021
Interpretable Artificial Intelligence through the Lens of Feature Interaction Michael Tsang James Enouen Yan Liu FAtt 41 8 0 01 Mar 2021
DNN2LR: Automatic Feature Crossing for Credit Scoring Qiang Liu Zhaocheng Liu Haoli Zhang Yuntian Chen Jun Zhu 33 0 0 24 Feb 2021
MIMIC-IF: Interpretability and Fairness Evaluation of Deep Learning Models on MIMIC-IV Dataset Chuizheng Meng Loc Trinh Nan Xu Yan Liu 67 30 0 12 Feb 2021
Dynamic Neural Networks: A Survey Yizeng Han Gao Huang Shiji Song Le Yang Honghui Wang Yulin Wang 3DH AI4TS AI4CE 133 658 0 09 Feb 2021
Deep Texture-Aware Features for Camouflaged Object Detection Jingjing Ren Xiaowei Hu Lei Zhu Xuemiao Xu Yangyang Xu Weiming Wang Zijun Deng Pheng-Ann Heng ObjD 157 113 0 05 Feb 2021
Boost then Convolve: Gradient Boosting Meets Graph Neural Networks Sergei Ivanov Liudmila Prokhorenkova AI4CE 100 53 0 21 Jan 2021
Learnable Embedding Sizes for Recommender Systems Siyi Liu Chen Gao Yihong Chen Depeng Jin Yong Li 136 86 0 19 Jan 2021
User Response Prediction in Online Advertising Zhabiz Gharibshah Xingquan Zhu OffRL 115 50 0 07 Jan 2021
AttnMove: History Enhanced Trajectory Recovery via Attentional Network Tong Xia Yunhan Qi Jie Feng Fengli Xu Funing Sun Diansheng Guo Yong Li 148 57 0 03 Jan 2021
AdnFM: An Attentive DenseNet based Factorization Machine for CTR Prediction Kai Wang Chun-Yen Shen Wenye Ma AI4CE 36 3 0 20 Dec 2020