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DNN2LR: Interpretation-inspired Feature Crossing for Real-world Tabular
  Data

DNN2LR: Interpretation-inspired Feature Crossing for Real-world Tabular Data

22 August 2020
Zhaocheng Liu
Qiang Liu
Haoli Zhang
Yuntian Chen
ArXivPDFHTML

Papers citing "DNN2LR: Interpretation-inspired Feature Crossing for Real-world Tabular Data"

4 / 4 papers shown
Title
Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and
  Understanding -- A Survey
Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and Understanding -- A Survey
Xi Fang
Weijie Xu
Fiona Anting Tan
Jiani Zhang
Ziqing Hu
Yanjun Qi
Scott Nickleach
Diego Socolinsky
Srinivasan H. Sengamedu
Christos Faloutsos
LMTD
ALM
42
66
0
27 Feb 2024
Deep Neural Networks and Tabular Data: A Survey
Deep Neural Networks and Tabular Data: A Survey
V. Borisov
Tobias Leemann
Kathrin Seßler
Johannes Haug
Martin Pawelczyk
Gjergji Kasneci
LMTD
45
647
0
05 Oct 2021
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
62
28
0
29 Jul 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
34
30
0
05 Mar 2020
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