Tabular Data: Deep Learning is Not All You Need

6 June 2021

Papers citing "Tabular Data: Deep Learning is Not All You Need"

50 / 113 papers shown

Title
Unprocessing Seven Years of Algorithmic Fairness André F. Cruz Moritz Hardt 31 10 0 12 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 33 2 0 07 Jun 2023
Machine Learning and VIIRS Satellite Retrievals for Skillful Fuel Moisture Content Monitoring in Wildfire Management John S. Schreck William Petzke P. Jiménez Thomas Brummet J. Knievel E. James B. Kosović D. Gagne 26 8 0 17 May 2023
Rethinking Data Augmentation for Tabular Data in Deep Learning Soma Onishi Shoya Meguro LMTD 36 14 0 17 May 2023
TABLET: Learning From Instructions For Tabular Data Dylan Slack Sameer Singh LMTD ALM RALM 30 17 0 25 Apr 2023
Integrating Reconfigurable Foot Design, Multi-modal Contact Sensing, and Terrain Classification for Bipedal Locomotion Ted Tyler Vaibhav Malhotra Adam Montague Zhigen Zhao Frank L. Hammond Ye Zhao 38 1 0 19 Apr 2023
Gradient-less Federated Gradient Boosting Trees with Learnable Learning Rates Chenyang Ma Xinchi Qiu Daniel J. Beutel Nicholas D. Lane FedML 18 12 0 15 Apr 2023
Continuous time recurrent neural networks: overview and application to forecasting blood glucose in the intensive care unit O. Fitzgerald O. Perez-Concha B. Gallego-Luxan Alejandro Metke-Jimenez Lachlan Rudd Louisa R Jorm BDL OOD AI4TS 41 0 0 14 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
BioSequence2Vec: Efficient Embedding Generation For Biological Sequences Sarwan Ali Usama Sardar Murray Patterson Imdadullah Khan 31 1 0 01 Apr 2023
P-Transformer: A Prompt-based Multimodal Transformer Architecture For Medical Tabular Data Y. Ruan Xiang Lan Daniel J. Tan H. Abdullah Mengling Feng LMTD MedIm 53 1 0 30 Mar 2023
LEURN: Learning Explainable Univariate Rules with Neural Networks Çağlar Aytekin FAtt 34 0 0 27 Mar 2023
Best of Both Worlds: Multimodal Contrastive Learning with Tabular and Imaging Data Paul Hager M. Menten Daniel Rueckert 34 47 0 24 Mar 2023
Efficient Multi-stage Inference on Tabular Data Daniel S Johnson Igor L. Markov 35 0 0 21 Mar 2023
Vortex Feature Positioning: Bridging Tabular IIoT Data and Image-Based Deep Learning Jong-Ik Park Sihoon Seong JunKyu Lee CheolKee Hong 51 1 0 16 Mar 2023
Finding Minimum-Cost Explanations for Predictions made by Tree Ensembles John Törnblom Emil Karlsson Simin Nadjm-Tehrani FAtt 57 0 0 16 Mar 2023
STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables Jaehyun Nam Jihoon Tack Kyungmin Lee Hankook Lee Jinwoo Shin LMTD SSL 26 31 0 02 Mar 2023
Tiny Classifier Circuits: Evolving Accelerators for Tabular Data Konstantinos Iordanou Timothy Atkinson Emre Ozer Jedrzej Kufel J. Biggs Gavin Brown M. Luján 29 1 0 28 Feb 2023
Practical Knowledge Distillation: Using DNNs to Beat DNNs Chungman Lee Pavlos Anastasios Apostolopulos Igor L. Markov FedML 35 1 0 23 Feb 2023
A Gradient Boosting Approach for Training Convolutional and Deep Neural Networks S. Emami Gonzalo Martínez-Munoz 20 6 0 22 Feb 2023
On marginal feature attributions of tree-based models Khashayar Filom A. Miroshnikov Konstandinos Kotsiopoulos Arjun Ravi Kannan FAtt 22 3 0 16 Feb 2023
REaLTabFormer: Generating Realistic Relational and Tabular Data using Transformers Aivin V. Solatorio Olivier Dupriez LMTD 26 62 0 04 Feb 2023
Data level and decision level fusion of satellite multi-sensor AOD retrievals for improving PM2.5 estimations, a study on Tehran A. Mirzaei Hossein Bagheri M. Sattari 25 8 0 01 Feb 2023
Using novel data and ensemble models to improve automated labeling of Sustainable Development Goals Dirk U. Wulff D. Meier Rui Mata 26 10 0 25 Jan 2023
An Artificial Intelligence-based model for cell killing prediction: development, validation and explainability analysis of the ANAKIN model F. Cordoni M. Missiaggia E. Scifoni C. La Tessa 29 9 0 19 Jan 2023
Relative Acoustic Features for Distance Estimation in Smart-Homes F. Nespoli Daniel Barreda Patrick A. Naylor 8 1 0 02 Dec 2022
Condensed Gradient Boosting S. Emami Gonzalo Martínez-Munoz 18 2 0 26 Nov 2022
Subgroup Robustness Grows On Trees: An Empirical Baseline Investigation Josh Gardner Zoran Popovic Ludwig Schmidt OOD 42 22 0 23 Nov 2022
Fed-TDA: Federated Tabular Data Augmentation on Non-IID Data Shaoming Duan Chuanyi Liu Peiyi Han Tianyu He Yifeng Xu Qiyuan Deng FedML 38 3 0 22 Nov 2022
Local Contrastive Feature learning for Tabular Data Zhabiz Gharibshah Xingquan Zhu SSL 18 7 0 19 Nov 2022
A Comparative Study of Machine Learning and Deep Learning Techniques for Prediction of Co2 Emission in Cars Samveg Shah Shubham Thakar Kashish Jain Bhavya Shah Sudhir Dhage 18 2 0 15 Nov 2022
DC-Check: A Data-Centric AI checklist to guide the development of reliable machine learning systems Nabeel Seedat F. Imrie M. Schaar 32 12 0 09 Nov 2022
Large scale traffic forecasting with gradient boosting, Traffic4cast 2022 challenge Martin Lumiste Andrei-Șerban Ilie 25 3 0 31 Oct 2022
Improving Data Quality with Training Dynamics of Gradient Boosting Decision Trees M. Ponti L. Oliveira Mathias Esteban Valentina Garcia J. Román Luis Argerich TDI 35 4 0 20 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 57 213 0 19 Oct 2022
Federated Boosted Decision Trees with Differential Privacy Samuel Maddock Graham Cormode Tianhao Wang Carsten Maple S. Jha FedML 42 29 0 06 Oct 2022
Borch: A Deep Universal Probabilistic Programming Language Lewis Belcher Johan Gudmundsson Michael Green BDL AI4CE UQCV 28 0 0 13 Sep 2022
Stochastic gradient descent with gradient estimator for categorical features Paul Peseux Maxime Bérar Thierry Paquet Victor Nicollet 33 0 0 08 Sep 2022
Why do tree-based models still outperform deep learning on tabular data? Léo Grinsztajn Edouard Oyallon Gaël Varoquaux LMTD 35 357 0 18 Jul 2022
BIP: Boost Invariant Polynomials for Efficient Jet Tagging José M. Muñoz Ilyes Batatia Christoph Ortner 32 14 0 17 Jul 2022
Combining Deep Learning with Good Old-Fashioned Machine Learning Moshe Sipper FedML VLM AI4CE 26 3 0 08 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
TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second Noah Hollmann Samuel G. Müller Katharina Eggensperger Frank Hutter 38 269 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
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 50 128 0 14 Jun 2022
(De-)Randomized Smoothing for Decision Stump Ensembles Miklós Z. Horváth Mark Niklas Muller Marc Fischer Martin Vechev 30 3 0 27 May 2022
TransTab: Learning Transferable Tabular Transformers Across Tables Zifeng Wang Jimeng Sun LMTD 46 137 0 19 May 2022
Perturbation of Deep Autoencoder Weights for Model Compression and Classification of Tabular Data Manar D. Samad Sakib Abrar 33 12 0 17 May 2022
HardVis: Visual Analytics to Handle Instance Hardness Using Undersampling and Oversampling Techniques Angelos Chatzimparmpas F. Paulovich Andreas Kerren 32 6 0 29 Mar 2022
On Embeddings for Numerical Features in Tabular Deep Learning Yura Gorishniy Ivan Rubachev Artem Babenko LMTD 21 157 0 10 Mar 2022