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
Sparse tree-based initialization for neural networks P. Lutz Ludovic Arnould Claire Boyer Erwan Scornet 41 2 0 30 Sep 2022
TRBoost: A Generic Gradient Boosting Machine based on Trust-region Method Jiaqi Luo Zihao Wei Junkai Man Shi-qian Xu 23 8 0 28 Sep 2022
Feature Encodings for Gradient Boosting with Automunge Nicholas J. Teague 35 0 0 25 Sep 2022
Explaining Anomalies using Denoising Autoencoders for Financial Tabular Data Timur Sattarov Dayananda Herurkar Jörn Hees 30 8 0 21 Sep 2022
Computing Abductive Explanations for Boosted Trees Gilles Audemard Jean-Marie Lagniez Pierre Marquis N. Szczepanski 26 12 0 16 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 30 0 0 08 Sep 2022
Multimodal learning with graphs Yasha Ektefaie George Dasoulas Ayush Noori Maha Farhat Marinka Zitnik 51 82 0 07 Sep 2022
A Method for Discovering Novel Classes in Tabular Data Colin Troisemaine Joachim Flocon-Cholet Stéphane Gosselin Sandrine Vaton Alexandre Reiffers-Masson V. Lemaire 18 6 0 02 Sep 2022
GEDI: A Graph-based End-to-end Data Imputation Framework Kaizhong Chen Xiuqin Liang Zheng Ma Zhibin Zhang 16 4 0 13 Aug 2022
GANDALF: Gated Adaptive Network for Deep Automated Learning of Features Manu Joseph Harsh Raj 25 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
Attention and Self-Attention in Random Forests Lev V. Utkin A. Konstantinov 40 3 0 09 Jul 2022
DIWIFT: Discovering Instance-wise Influential Features for Tabular Data Dugang Liu Pengxiang Cheng Hong Zhu Xing Tang Yanyu Chen Xiaoting Wang Weike Pan Zhong Ming Xiuqiang He TDI 30 10 0 06 Jul 2022
TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second Noah Hollmann Samuel G. Müller Katharina Eggensperger Frank Hutter 38 262 0 05 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
OpenXAI: Towards a Transparent Evaluation of Model Explanations Chirag Agarwal Dan Ley Satyapriya Krishna Eshika Saxena Martin Pawelczyk Nari Johnson Isha Puri Marinka Zitnik Himabindu Lakkaraju XAI 29 141 0 22 Jun 2022
ADBench: Anomaly Detection Benchmark Songqiao Han Xiyang Hu Hailiang Huang Mingqi Jiang Yue Zhao OOD 41 296 0 19 Jun 2022
Energy reconstruction for large liquid scintillator detectors with machine learning techniques: aggregated features approach Arsenii Gavrikov Y. Malyshkin F. Ratnikov 11 7 0 17 Jun 2022
LIFT: Language-Interfaced Fine-Tuning for Non-Language Machine Learning Tasks Tuan Dinh Yuchen Zeng Ruisu Zhang Ziqian Lin Michael Gira Shashank Rajput Jy-yong Sohn Dimitris Papailiopoulos Kangwook Lee LMTD 42 126 0 14 Jun 2022
RCC-GAN: Regularized Compound Conditional GAN for Large-Scale Tabular Data Synthesis Mohammad Esmaeilpour Nourhene Chaalia Adel Abusitta François-Xavier Devailly Wissem Maazoun P. Cardinal GAN 22 2 0 24 May 2022
A Dynamic Weighted Tabular Method for Convolutional Neural Networks Md Ifraham Iqbal Md. Saddam Hossain Mukta Ahmed Rafi Hasan LMTD 19 12 0 20 May 2022
TransTab: Learning Transferable Tabular Transformers Across Tables Zifeng Wang Jimeng Sun LMTD 36 135 0 19 May 2022
AdaCap: Adaptive Capacity control for Feed-Forward Neural Networks Katia Méziani Karim Lounici Benjamin Riu 8 0 0 09 May 2022
ConceptDistil: Model-Agnostic Distillation of Concept Explanations Joao Bento Sousa Ricardo Moreira Vladimir Balayan Pedro Saleiro P. Bizarro FAtt 14 3 0 07 May 2022
Dynamic Model Tree for Interpretable Data Stream Learning Johannes Haug Klaus Broelemann Gjergji Kasneci 25 7 0 30 Mar 2022
Probabilistically Robust Recourse: Navigating the Trade-offs between Costs and Robustness in Algorithmic Recourse Martin Pawelczyk Teresa Datta Johannes van-den-Heuvel Gjergji Kasneci Himabindu Lakkaraju 24 38 0 13 Mar 2022
A Free Lunch with Influence Functions? Improving Neural Network Estimates with Concepts from Semiparametric Statistics M. Vowels S. Akbari Necati Cihan Camgöz Richard Bowden 19 4 0 18 Feb 2022
Data-SUITE: Data-centric identification of in-distribution incongruous examples Nabeel Seedat Jonathan Crabbé M. Schaar OOD 28 14 0 17 Feb 2022
Redactor: A Data-centric and Individualized Defense Against Inference Attacks Geon Heo Steven Euijong Whang AAML 23 2 0 07 Feb 2022
Generative Modeling of Complex Data Luca Canale Nicolas Grislain Grégoire Lothe Johanne Leduc SyDa 18 4 0 04 Feb 2022
Monitoring Model Deterioration with Explainable Uncertainty Estimation via Non-parametric Bootstrap Carlos Mougan Dan Saattrup Nielsen 23 15 0 27 Jan 2022
Fairness Implications of Encoding Protected Categorical Attributes Carlos Mougan J. Álvarez Salvatore Ruggieri Steffen Staab FaML 29 14 0 27 Jan 2022
NN2Poly: A polynomial representation for deep feed-forward artificial neural networks Pablo Morala Jenny Alexandra Cifuentes R. Lillo Iñaki Ucar 11 6 0 21 Dec 2021
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
Merging Two Cultures: Deep and Statistical Learning A. Bhadra J. Datta Nicholas G. Polson Vadim Sokolov Jianeng Xu BDL 43 8 0 22 Oct 2021
Simple Modifications to Improve Tabular Neural Networks J. Fiedler LMTD 88 19 0 06 Aug 2021
Locally Sparse Neural Networks for Tabular Biomedical Data Junchen Yang Ofir Lindenbaum Y. Kluger 22 33 0 11 Jun 2021
Causal-TGAN: Generating Tabular Data Using Causal Generative Adversarial Networks Bingyang Wen Luis Oliveros Colon K. P. Subbalakshmi R. Chandramouli CML GAN 44 18 0 21 Apr 2021
CTAB-GAN: Effective Table Data Synthesizing Zilong Zhao A. Kunar H. V. D. Scheer Robert Birke L. Chen CML 126 198 0 16 Feb 2021
Boost then Convolve: Gradient Boosting Meets Graph Neural Networks Sergei Ivanov Liudmila Prokhorenkova AI4CE 53 52 0 21 Jan 2021
Adversarial Attacks for Tabular Data: Application to Fraud Detection and Imbalanced Data F. Cartella Orlando Anunciação Yuki Funabiki D. Yamaguchi Toru Akishita Olivier Elshocht AAML 61 71 0 20 Jan 2021
Transformers in Vision: A Survey Salman Khan Muzammal Naseer Munawar Hayat Syed Waqas Zamir Fahad Shahbaz Khan M. Shah ViT 227 2,430 0 04 Jan 2021
Copula Flows for Synthetic Data Generation Sanket Kamthe Samuel A. Assefa M. Deisenroth 67 50 0 03 Jan 2021
TabTransformer: Tabular Data Modeling Using Contextual Embeddings Xin Huang A. Khetan Milan Cvitkovic Zohar Karnin ViT LMTD 157 417 0 11 Dec 2020
New Properties of the Data Distillation Method When Working With Tabular Data Dmitry Medvedev A. Dýakonov DD 14 9 0 19 Oct 2020
A Generic Methodology for the Statistically Uniform & Comparable Evaluation of Automated Trading Platform Components A. Sokolovsky Luca Arnaboldi 13 2 0 21 Sep 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 Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 323 4,212 0 23 Aug 2019
Data Synthesis based on Generative Adversarial Networks Noseong Park Mahmoud Mohammadi Kshitij Gorde S. Jajodia Hongkyu Park Youngmin Kim 119 468 0 09 Jun 2018