Deep Neural Networks and Tabular Data: A Survey

5 October 2021

Gjergji Kasneci

Papers citing "Deep Neural Networks and Tabular Data: A Survey"

50 / 301 papers shown

Title
When Do Neural Nets Outperform Boosted Trees on Tabular Data? Duncan C. McElfresh Sujay Khandagale Jonathan Valverde C. VishakPrasad Ben Feuer Chinmay Hegde Ganesh Ramakrishnan Micah Goldblum Colin White LMTD 34 132 0 04 May 2023
CoDi: Co-evolving Contrastive Diffusion Models for Mixed-type Tabular Synthesis C. Lee Jayoung Kim Noseong Park DiffM 22 54 0 25 Apr 2023
Partitioner Selection with EASE to Optimize Distributed Graph Processing Nikolai Merkel R. Mayer Tawkir Ahmed Fakir Hans-Arno Jacobsen 29 5 0 11 Apr 2023
Beyond Privacy: Navigating the Opportunities and Challenges of Synthetic Data B. V. Breugel M. Schaar 19 26 0 07 Apr 2023
X-TIME: An in-memory engine for accelerating machine learning on tabular data with CAMs Giacomo Pedretti John Moon P. Bruel Sergey Serebryakov Ron M. Roth ... M. Foltin P. Faraboschi Jim Ignowski Catherine E. Graves Catherine E. Graves LMTD 24 1 0 03 Apr 2023
BioSequence2Vec: Efficient Embedding Generation For Biological Sequences Sarwan Ali Usama Sardar Murray Patterson Imdadullah Khan 29 1 0 01 Apr 2023
TabRet: Pre-training Transformer-based Tabular Models for Unseen Columns Soma Onishi Kenta Oono Kohei Hayashi LMTD 29 13 0 28 Mar 2023
A Comprehensive Survey on Test-Time Adaptation under Distribution Shifts Jian Liang Ran He Tien-Ping Tan OOD VLM TTA 38 205 0 27 Mar 2023
LEURN: Learning Explainable Univariate Rules with Neural Networks Çağlar Aytekin FAtt 29 0 0 27 Mar 2023
Best of Both Worlds: Multimodal Contrastive Learning with Tabular and Imaging Data Paul Hager M. Menten Daniel Rueckert 29 47 0 24 Mar 2023
Vortex Feature Positioning: Bridging Tabular IIoT Data and Image-Based Deep Learning Jong-Ik Park Sihoon Seong JunKyu Lee CheolKee Hong 28 1 0 16 Mar 2023
Explanation Shift: How Did the Distribution Shift Impact the Model? Carlos Mougan Klaus Broelemann David Masip Gjergji Kasneci Thanassis Thiropanis Steffen Staab FAtt 22 1 0 14 Mar 2023
Beyond Demographic Parity: Redefining Equal Treatment Carlos Mougan Laura State Antonio Ferrara Salvatore Ruggieri Steffen Staab FaML 33 1 0 14 Mar 2023
Multimodal Data Integration for Oncology in the Era of Deep Neural Networks: A Review Asim Waqas Aakash Tripathi Ravichandran Ramachandran Paul Stewart Ghulam Rasool AI4CE 37 31 0 11 Mar 2023
Graph Neural Network contextual embedding for Deep Learning on Tabular Data Mario Villaizán-Vallelado Matteo Salvatori B. Carro Antonio J. Sánchez-Esguevillas AI4CE LMTD 30 14 0 11 Mar 2023
Investigating Group Distributionally Robust Optimization for Deep Imbalanced Learning: A Case Study of Binary Tabular Data Classification Ismail B. Mustapha S. Hasan Hatem S Y Nabbus M. Montaser S. Olatunji Siti Maryam Shamsuddin OOD 22 1 0 04 Mar 2023
Deep Learning Methods for Small Molecule Drug Discovery: A Survey Wenhao Hu Yingying Liu Xuanyu Chen Wenhao Chai Hangyue Chen Hongwei Wang Gaoang Wang 66 10 0 01 Mar 2023
Gradient-Boosted Based Structured and Unstructured Learning Andrea Trevino Gavito Diego Klabjan J. Utke 27 2 0 28 Feb 2023
Multi-Layer Attention-Based Explainability via Transformers for Tabular Data Andrea Trevino Gavito Diego Klabjan J. Utke LMTD 23 3 0 28 Feb 2023
Revisiting Self-Training with Regularized Pseudo-Labeling for Tabular Data Miwook Kim Juseong Kim Giltae Song 19 2 0 27 Feb 2023
Variational Boosted Soft Trees Tristan Cinquin Tammo Rukat Philipp Schmidt Martin Wistuba Artur Bekasov BDL UQCV 24 0 0 21 Feb 2023
Machine Learning with High-Cardinality Categorical Features in Actuarial Applications Benjamin Avanzi G. Taylor Melantha Wang Bernard Wong 22 12 0 30 Jan 2023
Emerging Synergies in Causality and Deep Generative Models: A Survey Guanglin Zhou Shaoan Xie Guang-Yuan Hao Shiming Chen Erdun Gao Xiwei Xu Chen Wang Liming Zhu Lina Yao Anton van den Hengel AI4CE 55 11 0 29 Jan 2023
Img2Tab: Automatic Class Relevant Concept Discovery from StyleGAN Features for Explainable Image Classification Y. Song S. K. Shyn Kwang-su Kim VLM 21 5 0 16 Jan 2023
ExcelFormer: A neural network surpassing GBDTs on tabular data Jintai Chen Jiahuan Yan Qiyuan Chen Danny Chen Jian Wu Jimeng Sun LMTD 40 22 0 07 Jan 2023
Instance-based Explanations for Gradient Boosting Machine Predictions with AXIL Weights P. Geertsema Helen Lu FAtt 16 2 0 05 Jan 2023
Deep Clustering of Tabular Data by Weighted Gaussian Distribution Learning S. B. Rabbani Ivan V. Medri Manar D. Samad 23 4 0 02 Jan 2023
Online learning techniques for prediction of temporal tabular datasets with regime changes Thomas Wong Mauricio Barahona OOD AI4TS 37 1 0 30 Dec 2022
Effectiveness of Deep Image Embedding Clustering Methods on Tabular Data Sakib Abrar A. Sekmen Manar D. Samad 33 7 0 28 Dec 2022
Relational Local Explanations V. Borisov Gjergji Kasneci FAtt 22 0 0 23 Dec 2022
A Learning Based Hypothesis Test for Harmful Covariate Shift T. Ginsberg Zhongyuan Liang Rahul G. Krishnan 14 11 0 06 Dec 2022
T2G-Former: Organizing Tabular Features into Relation Graphs Promotes Heterogeneous Feature Interaction Jiahuan Yan Jintai Chen YiXuan Wu Danny Chen Jian Wu 27 35 0 30 Nov 2022
SketchBoost: Fast Gradient Boosted Decision Tree for Multioutput Problems L. Iosipoi Anton Vakhrushev 25 7 0 23 Nov 2022
Subgroup Robustness Grows On Trees: An Empirical Baseline Investigation Josh Gardner Zoran Popovic Ludwig Schmidt OOD 29 22 0 23 Nov 2022
OpenFE: Automated Feature Generation with Expert-level Performance T. Zhang Zheyu Zhang Zhiyuan Fan Haoyan Luo Feng Liu Qian Liu Wei Cao Jian Li VLM 16 22 0 22 Nov 2022
High-Order Optimization of Gradient Boosted Decision Trees Jean Pachebat Sergei Ivanov AI4CE 22 0 0 21 Nov 2022
Permutation-Invariant Tabular Data Synthesis Yujin Zhu Zilong Zhao Robert Birke L. Chen 31 2 0 17 Nov 2022
CASPR: Customer Activity Sequence-based Prediction and Representation Pin-Jung Chen Sahil Bhatnagar Sagar Goyal D. Kowalczyk Mayank Shrivastava AI4TS 22 0 0 16 Nov 2022
GCondNet: A Novel Method for Improving Neural Networks on Small High-Dimensional Tabular Data Andrei Margeloiu Nikola Simidjievski Pietro Lio' M. Jamnik DD AI4CE 22 5 0 11 Nov 2022
Introducing Hermes: Executing Clinical Quality Language (CQL) at over 66 Million Resources per Second (inexpensively) Angelo Kastroulis Paolo Bonfini A. Litsas ELM VLM 19 1 0 03 Nov 2022
HFN: Heterogeneous Feature Network for Multivariate Time Series Anomaly Detection Jun Zhan Chengkun Wu Canqun Yang Qiucheng Miao Xiandong Ma AI4TS 16 2 0 01 Nov 2022
Large scale traffic forecasting with gradient boosting, Traffic4cast 2022 challenge Martin Lumiste Andrei-Șerban Ilie 23 3 0 31 Oct 2022
Data-IQ: Characterizing subgroups with heterogeneous outcomes in tabular data Nabeel Seedat Jonathan Crabbé Ioana Bica M. Schaar 19 24 0 24 Oct 2022
Explanation Shift: Detecting distribution shifts on tabular data via the explanation space Carlos Mougan Klaus Broelemann Gjergji Kasneci T. Tiropanis Steffen Staab FAtt 27 7 0 22 Oct 2022
TabLLM: Few-shot Classification of Tabular Data with Large Language Models S. Hegselmann Alejandro Buendia Hunter Lang Monica Agrawal Xiaoyi Jiang David Sontag LMTD 55 211 0 19 Oct 2022
TractoSCR: A Novel Supervised Contrastive Regression Framework for Prediction of Neurocognitive Measures Using Multi-Site Harmonized Diffusion MRI Tractography Tengfei Xue Fan Zhang L. Zekelman Chaoyi Zhang Yuqian Chen ... W. Wells Yogesh Rathi N. Makris Weidong Cai L. O’Donnell 33 7 0 13 Oct 2022
FARE: Provably Fair Representation Learning with Practical Certificates Nikola Jovanović Mislav Balunović Dimitar I. Dimitrov Martin Vechev 51 11 0 13 Oct 2022
Language Models are Realistic Tabular Data Generators V. Borisov Kathrin Seßler Tobias Leemann Martin Pawelczyk Gjergji Kasneci LMTD 27 223 0 12 Oct 2022
A Framework for Large Scale Synthetic Graph Dataset Generation Sajad Darabi P. Bigaj Dawid Majchrowski Artur Kasymov Pawel M. Morkisz A. Fit-Florea 35 4 0 04 Oct 2022
TabLeak: Tabular Data Leakage in Federated Learning Mark Vero Mislav Balunović Dimitar I. Dimitrov Martin Vechev FedML 34 7 0 04 Oct 2022