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AutoCross: Automatic Feature Crossing for Tabular Data in Real-World
  Applications
v1v2 (latest)

AutoCross: Automatic Feature Crossing for Tabular Data in Real-World Applications

29 April 2019
Yuanfei Luo
Mengshuo Wang
Hao Zhou
Quanming Yao
Wei-Wei Tu
Yuqiang Chen
Qiang Yang
Wenyuan Dai
ArXiv (abs)PDFHTML

Papers citing "AutoCross: Automatic Feature Crossing for Tabular Data in Real-World Applications"

22 / 22 papers shown
Title
Two-Stage Feature Generation with Transformer and Reinforcement Learning
Two-Stage Feature Generation with Transformer and Reinforcement Learning
Wanfu Gao
Zengyao Man
Zebin He
Yuhao Tang
Jun Gao
Kunpeng Liu
28
0
0
28 May 2025
Self-optimizing Feature Generation via Categorical Hashing
  Representation and Hierarchical Reinforcement Crossing
Self-optimizing Feature Generation via Categorical Hashing Representation and Hierarchical Reinforcement Crossing
Wangyang Ying
Dongjie Wang
Kunpeng Liu
Leilei Sun
Yanjie Fu
66
20
0
08 Sep 2023
Causal Structure Learning by Using Intersection of Markov Blankets
Causal Structure Learning by Using Intersection of Markov Blankets
Yiran Dong
Chuanhou Gao
CML
52
0
0
01 Jul 2023
OpenFE: Automated Feature Generation with Expert-level Performance
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
DIWIFT: Discovering Instance-wise Influential Features for Tabular Data
DIWIFT: Discovering Instance-wise Influential Features for Tabular Data
Dugang Liu
Pengxiang Cheng
Hong Zhu
Xing Tang
Yanyu Chen
Xiaoting Wang
Weike Pan
Zhong Ming
Xiuqiang He
TDI
58
11
0
06 Jul 2022
TransTab: Learning Transferable Tabular Transformers Across Tables
TransTab: Learning Transferable Tabular Transformers Across Tables
Zifeng Wang
Jimeng Sun
LMTD
85
151
0
19 May 2022
AutoField: Automating Feature Selection in Deep Recommender Systems
AutoField: Automating Feature Selection in Deep Recommender Systems
Yejing Wang
Xiang Zhao
Tong Xu
Xianren Wu
65
67
0
19 Apr 2022
AEFE: Automatic Embedded Feature Engineering for Categorical Features
AEFE: Automatic Embedded Feature Engineering for Categorical Features
Zhenyuan Zhong
Jie Yang
Yacong Ma
Shoubin Dong
Jinlong Hu
120
2
0
19 Oct 2021
TabGNN: Multiplex Graph Neural Network for Tabular Data Prediction
TabGNN: Multiplex Graph Neural Network for Tabular Data Prediction
Xiawei Guo
Yuhan Quan
Huan Zhao
Quanming Yao
Yong Li
Wei-Wei Tu
44
28
0
20 Aug 2021
Feature Cross Search via Submodular Optimization
Feature Cross Search via Submodular Optimization
Lin Chen
Hossein Esfandiari
Gang Fu
Vahab S. Mirrokni
Qian-long Yu
59
6
0
05 Jul 2021
Online Interaction Detection for Click-Through Rate Prediction
Online Interaction Detection for Click-Through Rate Prediction
Qiuqiang Lin
Chuanhou Gao
52
0
0
27 Jun 2021
AutoLoss: Automated Loss Function Search in Recommendations
AutoLoss: Automated Loss Function Search in Recommendations
Xiangyu Zhao
Haochen Liu
Wenqi Fan
Hui Liu
Jiliang Tang
Chong Wang
83
60
0
12 Jun 2021
Towards Interaction Detection Using Topological Analysis on Neural
  Networks
Towards Interaction Detection Using Topological Analysis on Neural Networks
Zirui Liu
Qingquan Song
Kaixiong Zhou
Ting-Hsiang Wang
Ying Shan
Helen Zhou
37
6
0
25 Oct 2020
DNN2LR: Interpretation-inspired Feature Crossing for Real-world Tabular
  Data
DNN2LR: Interpretation-inspired Feature Crossing for Real-world Tabular Data
Zhaocheng Liu
Qiang Liu
Haoli Zhang
Yuntian Chen
84
13
0
22 Aug 2020
Detecting Beneficial Feature Interactions for Recommender Systems
Detecting Beneficial Feature Interactions for Recommender Systems
Yixin Su
Rui Zhang
S. Erfani
Zhenghua Xu
120
75
0
02 Aug 2020
FIVES: Feature Interaction Via Edge Search for Large-Scale Tabular Data
FIVES: Feature Interaction Via Edge Search for Large-Scale Tabular Data
Yuexiang Xie
Zhen Wang
Yaliang Li
Bolin Ding
Nezihe Merve Gürel
Ce Zhang
Minlie Huang
Wei Lin
Jingren Zhou
106
28
0
29 Jul 2020
Feature Interaction Interpretability: A Case for Explaining
  Ad-Recommendation Systems via Neural Interaction Detection
Feature Interaction Interpretability: A Case for Explaining Ad-Recommendation Systems via Neural Interaction Detection
Michael Tsang
Dehua Cheng
Hanpeng Liu
Xuening Feng
Eric Zhou
Yan Liu
FAtt
85
60
0
19 Jun 2020
AMEIR: Automatic Behavior Modeling, Interaction Exploration and MLP
  Investigation in the Recommender System
AMEIR: Automatic Behavior Modeling, Interaction Exploration and MLP Investigation in the Recommender System
Pengyu Zhao
Kecheng Xiao
Yuanxing Zhang
Kaigui Bian
Wei Yan
114
16
0
10 Jun 2020
Network On Network for Tabular Data Classification in Real-world
  Applications
Network On Network for Tabular Data Classification in Real-world Applications
Yuanfei Luo
Hao Zhou
Wei-Wei Tu
Yuqiang Chen
Wenyuan Dai
Qiang Yang
52
36
0
20 May 2020
Adversarial Multimodal Representation Learning for Click-Through Rate
  Prediction
Adversarial Multimodal Representation Learning for Click-Through Rate Prediction
Xiang Li
Chao Wang
Jiwei Tan
Xiaoyi Zeng
Dan Ou
Bo Zheng
55
46
0
07 Mar 2020
SAFE: Scalable Automatic Feature Engineering Framework for Industrial
  Tasks
SAFE: Scalable Automatic Feature Engineering Framework for Industrial Tasks
Qitao Shi
Ya-Lin Zhang
Longfei Li
Xinxing Yang
Meng Li
Jun Zhou
76
31
0
05 Mar 2020
Techniques for Automated Machine Learning
Techniques for Automated Machine Learning
Yi-Wei Chen
Qingquan Song
Helen Zhou
65
50
0
21 Jul 2019
1