Revisiting Deep Learning Models for Tabular Data

22 June 2021

Papers citing "Revisiting Deep Learning Models for Tabular Data"

50 / 351 papers shown

Title
AUC-based Selective Classification Andrea Pugnana Salvatore Ruggieri 21 9 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 30 7 0 13 Oct 2022
Federated Boosted Decision Trees with Differential Privacy Samuel Maddock Graham Cormode Tianhao Wang Carsten Maple S. Jha FedML 26 29 0 06 Oct 2022
OpBoost: A Vertical Federated Tree Boosting Framework Based on Order-Preserving Desensitization Xiaochen Li Yuke Hu Weiran Liu Hanwen Feng Li Peng Yuan Hong Kui Ren Zhan Qin FedML 132 26 0 04 Oct 2022
OCD: Learning to Overfit with Conditional Diffusion Models Shahar Lutati Lior Wolf DiffM 20 8 0 02 Oct 2022
TabDDPM: Modelling Tabular Data with Diffusion Models Akim Kotelnikov Dmitry Baranchuk Ivan Rubachev Artem Babenko DiffM 58 239 0 30 Sep 2022
Sparse tree-based initialization for neural networks P. Lutz Ludovic Arnould Claire Boyer Erwan Scornet 41 2 0 30 Sep 2022
Feature Encodings for Gradient Boosting with Automunge Nicholas J. Teague 32 0 0 25 Sep 2022
A Robust and Explainable Data-Driven Anomaly Detection Approach For Power Electronics Alexander Beattie Pavol Mulinka Subham S. Sahoo I. Christou Charalampos Kalalas Daniel Gutierrez-Rojas P. H. Nardelli 23 5 0 23 Sep 2022
SynthA1c: Towards Clinically Interpretable Patient Representations for Diabetes Risk Stratification Michael S. Yao Allison Chae Matthew T. MacLean A. Verma J. Duda ... Drew A Torigian Daniel Rader Charles E. Kahn W. Witschey H. Sagreiya 29 1 0 20 Sep 2022
A Max-relevance-min-divergence Criterion for Data Discretization with Applications on Naive Bayes Shihe Wang Jianfeng Ren Ruibin Bai Yuan Yao Xudong Jiang 26 7 0 20 Sep 2022
PTab: Using the Pre-trained Language Model for Modeling Tabular Data Guangyi Liu Jie-jin Yang Ledell Yu Wu LMTD 65 34 0 15 Sep 2022
Stochastic gradient descent with gradient estimator for categorical features Paul Peseux Maxime Bérar Thierry Paquet Victor Nicollet 27 0 0 08 Sep 2022
Personalized Promotion Decision Making Based on Direct and Enduring Effect Predictions Jie Yang Yilin Li Deddy Jobson 8 5 0 23 Jul 2022
GANDALF: Gated Adaptive Network for Deep Automated Learning of Features Manu Joseph Harsh Raj 23 9 0 18 Jul 2022
Why do tree-based models still outperform deep learning on tabular data? Léo Grinsztajn Edouard Oyallon Gaël Varoquaux LMTD 35 356 0 18 Jul 2022
Revisiting Pretraining Objectives for Tabular Deep Learning Ivan Rubachev Artem Alekberov Yu. V. Gorishniy Artem Babenko LMTD 21 41 0 07 Jul 2022
Transfer Learning with Deep Tabular Models Roman Levin Valeriia Cherepanova Avi Schwarzschild Arpit Bansal C. Bayan Bruss Tom Goldstein A. Wilson Micah Goldblum OOD FedML LMTD 75 58 0 30 Jun 2022
ADBench: Anomaly Detection Benchmark Songqiao Han Xiyang Hu Hailiang Huang Mingqi Jiang Yue Zhao OOD 41 296 0 19 Jun 2022
Gradient Boosting Performs Gaussian Process Inference Aleksei Ustimenko Artem Beliakov Liudmila Prokhorenkova BDL 20 5 0 11 Jun 2022
FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning Tao Qi Fangzhao Wu Chuhan Wu Lingjuan Lyu Tongye Xu Zhongliang Yang Yongfeng Huang Xing Xie FedML 34 36 0 07 Jun 2022
Interpretable Mixture of Experts Aya Abdelsalam Ismail Sercan Ö. Arik Jinsung Yoon Ankur Taly S. Feizi Tomas Pfister MoE 23 10 0 05 Jun 2022
MCD: Marginal Contrastive Discrimination for conditional density estimation Benjamin Riu 19 0 0 03 Jun 2022
Fair Classification via Transformer Neural Networks: Case Study of an Educational Domain Modar Sulaiman Kallol Roy 16 0 0 03 Jun 2022
Hopular: Modern Hopfield Networks for Tabular Data Bernhard Schafl Lukas Gruber Angela Bitto-Nemling Sepp Hochreiter LMTD 25 27 0 01 Jun 2022
DT+GNN: A Fully Explainable Graph Neural Network using Decision Trees Peter Müller Lukas Faber Karolis Martinkus Roger Wattenhofer 40 8 0 26 May 2022
BRIGHT -- Graph Neural Networks in Real-Time Fraud Detection Mingxuan Lu Zhichao Han Susie Xi Rao Zitao Zhang Yang Zhao Yinan Shan Ramesh Raghunathan Ce Zhang Jiawei Jiang GNN 17 30 0 25 May 2022
TransTab: Learning Transferable Tabular Transformers Across Tables Zifeng Wang Jimeng Sun LMTD 36 135 0 19 May 2022
High Performance of Gradient Boosting in Binding Affinity Prediction Dmitrii Gavrilev Nurlybek Amangeldiuly Sergei Ivanov Evgeny Burnaev AI4CE 33 2 0 14 May 2022
AdaCap: Adaptive Capacity control for Feed-Forward Neural Networks Katia Méziani Karim Lounici Benjamin Riu 6 0 0 09 May 2022
ConceptDistil: Model-Agnostic Distillation of Concept Explanations Joao Bento Sousa Ricardo Moreira Vladimir Balayan Pedro Saleiro P. Bizarro FAtt 12 3 0 07 May 2022
COVID-Net Biochem: An Explainability-driven Framework to Building Machine Learning Models for Predicting Survival and Kidney Injury of COVID-19 Patients from Clinical and Biochemistry Data Hossein Aboutalebi Maya Pavlova M. Shafiee A. Florea Andrew Hryniowski Alexander Wong 22 4 0 24 Apr 2022
TabNAS: Rejection Sampling for Neural Architecture Search on Tabular Datasets Chengrun Yang Gabriel Bender Hanxiao Liu Pieter-Jan Kindermans Madeleine Udell Yifeng Lu Quoc V. Le Da Huang LMTD 19 7 0 15 Apr 2022
Which Tricks Are Important for Learning to Rank? Ivan Lyzhin Aleksei Ustimenko Andrey Gulin Liudmila Prokhorenkova 19 6 0 04 Apr 2022
A Framework and Benchmark for Deep Batch Active Learning for Regression David Holzmüller Viktor Zaverkin Johannes Kastner Ingo Steinwart UQCV BDL GP 23 34 0 17 Mar 2022
On Embeddings for Numerical Features in Tabular Deep Learning Yura Gorishniy Ivan Rubachev Artem Babenko LMTD 13 156 0 10 Mar 2022
Generative Modeling of Complex Data Luca Canale Nicolas Grislain Grégoire Lothe Johanne Leduc SyDa 18 4 0 04 Feb 2022
Do not rug on me: Zero-dimensional Scam Detection Bruno Mazorra Victor Adan Vanesa Daza 11 9 0 16 Jan 2022
Bi-Discriminator Class-Conditional Tabular GAN Mohammad Esmaeilpour Nourhene Chaalia Adel Abusitta François-Xavier Devailly Wissem Maazoun P. Cardinal 18 12 0 12 Nov 2021
Deep Neural Networks and Tabular Data: A Survey V. Borisov Tobias Leemann Kathrin Seßler Johannes Haug Martin Pawelczyk Gjergji Kasneci LMTD 27 647 0 05 Oct 2021
SurvTRACE: Transformers for Survival Analysis with Competing Events Zifeng Wang Jimeng Sun 33 67 0 02 Oct 2021
YAHPO Gym -- An Efficient Multi-Objective Multi-Fidelity Benchmark for Hyperparameter Optimization Florian Pfisterer Lennart Schneider Julia Moosbauer Martin Binder B. Bischl 33 35 0 08 Sep 2021
Simple Modifications to Improve Tabular Neural Networks J. Fiedler LMTD 83 19 0 06 Aug 2021
Machine Learning Approaches to Automated Flow Cytometry Diagnosis of Chronic Lymphocytic Leukemia Akum S. Kang Loveleen Kang S. M. Mastorides P. Foulis L. Deland R. Seifert A. Borkowski 11 3 0 20 Jul 2021
Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks A. Malinin Neil Band Ganshin Alexander German Chesnokov ... Roginskiy Denis Mariya Shmatova Panos Tigas Boris Yangel UQCV OOD 29 127 0 15 Jul 2021
Comprehensive Comparative Study of Multi-Label Classification Methods Jasmin Bogatinovski L. Todorovski S. Džeroski D. Kocev 18 114 0 14 Feb 2021
TabTransformer: Tabular Data Modeling Using Contextual Embeddings Xin Huang A. Khetan Milan Cvitkovic Zohar Karnin ViT LMTD 157 417 0 11 Dec 2020
Training Two-Layer ReLU Networks with Gradient Descent is Inconsistent David Holzmüller Ingo Steinwart MLT 6 9 0 12 Feb 2020
Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data Sergei Popov S. Morozov Artem Babenko LMTD 91 294 0 13 Sep 2019
A Brain-inspired Algorithm for Training Highly Sparse Neural Networks Zahra Atashgahi Joost Pieterse Shiwei Liu D. Mocanu Raymond N. J. Veldhuis Mykola Pechenizkiy 32 15 0 17 Mar 2019