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

22 August 2020

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

11 / 11 papers shown

A Survey on Deep Tabular Learning

555

15 Oct 2024

Statements: Universal Information Extraction from Tables with Large Language Models for ESG KPIs

285

27 Jun 2024

Multi-Epoch learning with Data Augmentation for Deep Click-Through Rate Prediction

Han Li

Peng Jiang

Shuang Li

Kun Gai

291

27 Jun 2024

Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and Understanding -- A Survey

Srinivasan H. Sengamedu

Christos Faloutsos

LMTD ALM

658

206

27 Feb 2024

Automated Model Selection for Tabular Data

Avinash Amballa

Gayathri Akkinapalli

Manas Madine

Naga Pavana Priya Yarrabolu

Przemyslaw A. Grabowicz

231

01 Jan 2024

Pretrained deep models outperform GBDTs in Learning-To-Rank under label scarcity

696

31 Jul 2023

Exploiting Field Dependencies for Learning on Categorical DataIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023

187

18 Jul 2023

Multi-Epoch Learning for Deep Click-Through Rate Prediction Models

Jian Liang

272

31 May 2023

DIWIFT: Discovering Instance-wise Influential Features for Tabular DataThe Web Conference (WWW), 2022

229

06 Jul 2022

Deep Neural Networks and Tabular Data: A Survey

Gjergji Kasneci

682

1,068

05 Oct 2021

FIVES: Feature Interaction Via Edge Search for Large-Scale Tabular DataKnowledge Discovery and Data Mining (KDD), 2020

Nezihe Merve Gürel

Jingren Zhou

285

29 Jul 2020