Revisiting Deep Learning Models for Tabular Data

22 June 2021

Papers citing "Revisiting Deep Learning Models for Tabular Data"

50 / 351 papers shown

Title
Target Variable Engineering Jessica Clark 27 0 0 13 Oct 2023
From Supervised to Generative: A Novel Paradigm for Tabular Deep Learning with Large Language Models Xumeng Wen Han Zhang Shun Zheng Wei Xu Jiang Bian LMTD ALM 73 20 0 11 Oct 2023
CAST: Cluster-Aware Self-Training for Tabular Data Minwook Kim Juseong Kim Kibeom Kim Giltae Song 33 0 0 10 Oct 2023
UniPredict: Large Language Models are Universal Tabular Classifiers Ruiyu Wang Zifeng Wang Jimeng Sun LMTD 16 1 0 05 Oct 2023
CODA: Temporal Domain Generalization via Concept Drift Simulator Chia-Yuan Chang Yu-Neng Chuang Zhimeng Jiang Kwei-Herng Lai Anxiao Jiang Na Zou OOD 24 5 0 02 Oct 2023
Testing the Limits of Unified Sequence to Sequence LLM Pretraining on Diverse Table Data Tasks Soumajyoti Sarkar Leonard Lausen LMTD 18 5 0 01 Oct 2023
Scaling Experiments in Self-Supervised Cross-Table Representation Learning Maximilian Schambach Dominique Paul Wei Le LMTD 30 2 0 29 Sep 2023
GRANDE: Gradient-Based Decision Tree Ensembles for Tabular Data Sascha Marton Stefan Lüdtke Christian Bartelt Heiner Stuckenschmidt LMTD 18 5 0 29 Sep 2023
Unmasking the Chameleons: A Benchmark for Out-of-Distribution Detection in Medical Tabular Data Mohammad Azizmalayeri Ameen Abu-Hanna Dirk Kraft OOD 25 5 0 28 Sep 2023
ADGym: Design Choices for Deep Anomaly Detection Minqi Jiang Chaochuan Hou Ao Zheng Songqiao Han Hailiang Huang Qingsong Wen Xiyang Hu Yue Zhao 23 14 0 27 Sep 2023
SHAPNN: Shapley Value Regularized Tabular Neural Network Qisen Cheng Shuhui Qu Janghwan Lee 16 3 0 15 Sep 2023
Understanding the limitations of self-supervised learning for tabular anomaly detection Kimberly T. Mai Toby O. Davies Lewis D. Griffin SSL 29 0 0 15 Sep 2023
Unveiling Invariances via Neural Network Pruning Derek Xu Yizhou Sun Wei Wang 36 0 0 15 Sep 2023
Pareto Frontiers in Neural Feature Learning: Data, Compute, Width, and Luck Benjamin L. Edelman Surbhi Goel Sham Kakade Eran Malach Cyril Zhang 48 8 0 07 Sep 2023
Extract-and-Adaptation Network for 3D Interacting Hand Mesh Recovery J. Park Daniel Sungho Jung Gyeongsik Moon Kyoung Mu Lee 22 6 0 05 Sep 2023
Homological Convolutional Neural Networks Antonio Briola Yuanrong Wang Silvia Bartolucci T. Aste LMTD 33 5 0 26 Aug 2023
Efficient Bayesian Optimization with Deep Kernel Learning and Transformer Pre-trained on Multiple Heterogeneous Datasets Wenlong Lyu Shoubo Hu Jie Chuai Zhitang Chen 14 2 0 09 Aug 2023
DeRisk: An Effective Deep Learning Framework for Credit Risk Prediction over Real-World Financial Data Yancheng Liang Jiajie Zhang Hui Li Xiaochen Liu Yi Hu Yonghuan Wu Jinyao Zhang Yongyan Liu Yi Wu 30 2 0 07 Aug 2023
Generalized Oversampling for Learning from Imbalanced datasets and Associated Theory Samuel Stocksieker Denys Pommeret Arthur Charpentier 15 1 0 05 Aug 2023
Pretrained deep models outperform GBDTs in Learning-To-Rank under label scarcity Charlie Hou K. K. Thekumparampil Michael Shavlovsky Giulia Fanti Yesh Dattatreya Sujay Sanghavi LMTD 15 1 0 31 Jul 2023
A Noisy-Label-Learning Formulation for Immune Repertoire Classification and Disease-Associated Immune Receptor Sequence Identification Mingcai Chen Yu Zhao Zhonghuang Wang Bing He Jianhua Yao 19 2 0 29 Jul 2023
TabR: Tabular Deep Learning Meets Nearest Neighbors in 2023 Yu. V. Gorishniy Ivan Rubachev Nikolay Kartashev Daniil Shlenskii Akim Kotelnikov Artem Babenko OOD LMTD 19 13 0 26 Jul 2023
TabADM: Unsupervised Tabular Anomaly Detection with Diffusion Models Guy Zamberg Moshe Salhov Ofir Lindenbaum Amir Averbuch DiffM 21 3 0 23 Jul 2023
NCART: Neural Classification and Regression Tree for Tabular Data Jiaqi Luo Shi-qian Xu 17 8 0 23 Jul 2023
Exploiting Field Dependencies for Learning on Categorical Data Zhibin Li Piotr Koniusz Lu Zhang D. Pagendam Peyman Moghadam 34 4 0 18 Jul 2023
UniTabE: A Universal Pretraining Protocol for Tabular Foundation Model in Data Science Yazheng Yang Yuqi Wang Guangyi Liu Ledell Yu Wu Qi Liu LMTD 32 16 0 18 Jul 2023
Tabular Machine Learning Methods for Predicting Gas Turbine Emissions Rebecca Potts R. Hackney Georgios Leontidis 19 3 0 17 Jul 2023
Multi-Objective Optimization of Performance and Interpretability of Tabular Supervised Machine Learning Models Lennart Schneider B. Bischl Janek Thomas 30 6 0 17 Jul 2023
HYTREL: Hypergraph-enhanced Tabular Data Representation Learning Pei Chen Soumajyoti Sarkar Leonard Lausen Balasubramaniam Srinivasan Sheng Zha Ruihong Huang George Karypis LMTD 30 33 0 14 Jul 2023
Learning Active Subspaces and Discovering Important Features with Gaussian Radial Basis Functions Neural Networks D. D’Agostino Ilija Ilievski C. Shoemaker 22 4 0 11 Jul 2023
Towards Cross-Table Masked Pretraining for Web Data Mining Chaonan Ye Guoshan Lu Haobo Wang Liyao Li Sai Wu Gang Chen J. Zhao LMTD 34 13 0 10 Jul 2023
Bidirectional Attention as a Mixture of Continuous Word Experts Kevin Christian Wibisono Yixin Wang MoE 13 0 0 08 Jul 2023
Comparing Algorithm Selection Approaches on Black-Box Optimization Problems Ana Kostovska Anja Jankovic Diederick Vermetten S. Džeroski T. Eftimov Carola Doerr 18 10 0 30 Jun 2023
Anomaly Detection with Score Distribution Discrimination Minqi Jiang Songqiao Han Hailiang Huang 31 9 0 26 Jun 2023
Language models are weak learners Hariharan Manikandan Yiding Jiang J Zico Kolter 38 15 0 25 Jun 2023
ProtoGate: Prototype-based Neural Networks with Global-to-local Feature Selection for Tabular Biomedical Data Xiangjian Jiang Andrei Margeloiu Nikola Simidjievski M. Jamnik OOD 34 10 0 21 Jun 2023
Event Stream GPT: A Data Pre-processing and Modeling Library for Generative, Pre-trained Transformers over Continuous-time Sequences of Complex Events Matthew B. A. McDermott Bret A. Nestor Peniel Argaw I. Kohane AI4TS 24 21 0 20 Jun 2023
Virtual Human Generative Model: Masked Modeling Approach for Learning Human Characteristics Kenta Oono Nontawat Charoenphakdee K. Bito Zhengyan Gao Yoshiaki Ota ... Kohei Hayashi Yuki Saito Koki Tsuda Hiroshi Maruyama K. Hayashi 30 1 0 19 Jun 2023
Flow-Bench: A Dataset for Computational Workflow Anomaly Detection George Papadimitriou Hongwei Jin Cong Wang Rajiv Mayani Krishnan Raghavan A. Mandal Prasanna Balaprakash Ewa Deelman 13 3 0 16 Jun 2023
Improving the Validity of Decision Trees as Explanations Jiri Nemecek Tomás Pevný Jakub Mareˇcek FAtt 17 0 0 11 Jun 2023
Between-Sample Relationship in Learning Tabular Data Using Graph and Attention Networks S. B. Rabbani Manar D. Samad CML GNN 14 2 0 11 Jun 2023
$Enabling tabular deep learning when $d \gg n$ with an auxiliary knowledge graph$ Enabling tabular deep learning when $d \gg n$ with an auxiliary knowledge graph Camilo Ruiz Hongyu Ren Kexin Huang J. Leskovec 25 2 0 07 Jun 2023
A Comprehensive Survey on Generative Diffusion Models for Structured Data Heejoon Koo To Eun Kim DiffM MedIm 33 7 0 07 Jun 2023
Transferable Adversarial Robustness for Categorical Data via Universal Robust Embeddings Klim Kireev Maksym Andriushchenko Carmela Troncoso Nicolas Flammarion OOD 27 1 0 06 Jun 2023
PyTrial: Machine Learning Software and Benchmark for Clinical Trial Applications Zifeng Wang B. Theodorou Tianfan Fu Cao Xiao Jimeng Sun LM&MA 22 2 0 06 Jun 2023
Multi-Objective Population Based Training A. Dushatskiy A. Chebykin Tanja Alderliesten Peter A. N. Bosman 27 2 0 02 Jun 2023
Prediction of Post-Operative Renal and Pulmonary Complications Using Transformers Reza Shirkavand Fei Zhang Heng-Chiao Huang MedIm AI4CE 22 0 0 01 Jun 2023
AnoOnly: Semi-Supervised Anomaly Detection with the Only Loss on Anomalies Yixuan Zhou Peiyu Yang Yi Qu Xing Xu Zhe Sun Andrzej Cichocki 36 2 0 30 May 2023
Global Layers: Non-IID Tabular Federated Learning Yazan Obeidi FedML 36 0 0 29 May 2023
Trompt: Towards a Better Deep Neural Network for Tabular Data Kuan-Yu Chen Ping-Han Chiang Hsin-Rung Chou Tingwei Chen Tien-Hao Chang VPVLM LMTD VLM 23 23 0 29 May 2023