Revisiting Deep Learning Models for Tabular Data

22 June 2021

Papers citing "Revisiting Deep Learning Models for Tabular Data"

50 / 351 papers shown

Title
Harnessing LLMs Explanations to Boost Surrogate Models in Tabular Data Classification Ruxue Shi Hengrui Gu Xu Shen Xin Wang LMTD 169 0 0 09 May 2025
Griffin: Towards a Graph-Centric Relational Database Foundation Model Yanbo Wang Xiyuan Wang Quan Gan Minjie Wang Qibin Yang David Wipf Muhan Zhang 85 0 0 08 May 2025
Latte: Transfering LLMs` Latent-level Knowledge for Few-shot Tabular Learning Ruxue Shi Hengrui Gu Hangting Ye Yiwei Dai Xu Shen Xin Wang LMTD 63 0 0 08 May 2025
Put CASH on Bandits: A Max K-Armed Problem for Automated Machine Learning Amir Rezaei Balef Claire Vernade Katharina Eggensperger 38 0 0 08 May 2025
Predicting Estimated Times of Restoration for Electrical Outages Using Longitudinal Tabular Transformers Bogireddy Sai Prasanna Teja Valliappan Muthukaruppan Carls Benjamin 56 0 0 01 May 2025
ALF: Advertiser Large Foundation Model for Multi-Modal Advertiser Understanding Santosh Rajagopalan Jonathan Vronsky Songbai Yan S. Alireza Golestaneh Shubhra Chandra Min Zhou 66 0 0 26 Apr 2025
Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems Tarik Sahin Jacopo Bonari Sebastian Brandstaeter Alexander Popp 19 0 0 24 Apr 2025
Improving Significant Wave Height Prediction Using Chronos Models Yilin Zhai Hongyuan Shi Chao Zhan Qing Wang Zaijin You Nan Wang AI4Cl AI4CE 45 0 0 23 Apr 2025
No Imputation of Missing Values In Tabular Data Classification Using Incremental Learning Manar D. Samad Kazi Fuad B. Akhter S. B. Rabbani Ibna Kowsar 29 0 0 20 Apr 2025
Representation Learning for Tabular Data: A Comprehensive Survey Jun-Peng Jiang Si-Yang Liu Hao-Run Cai Qile Zhou Han-Jia Ye LMTD 46 0 0 17 Apr 2025
Leveraging Machine Learning Models to Predict the Outcome of Digital Medical Triage Interviews Sofia Krylova Fabian Schmidt Vladimir Vlassov 34 0 0 16 Apr 2025
Kernel-Level Energy-Efficient Neural Architecture Search for Tabular Dataset Hoang-Loc La Phuong Hoai Ha 32 0 0 11 Apr 2025
Beyond Black-Box Predictions: Identifying Marginal Feature Effects in Tabular Transformer Networks Anton Thielmann Arik Reuter Benjamin Saefken LMTD 72 0 0 11 Apr 2025
Diffusion Transformers for Tabular Data Time Series Generation Fabrizio Garuti E. Sangineto Simone Luetto L. Forni Rita Cucchiara 59 0 0 10 Apr 2025
RO-FIGS: Efficient and Expressive Tree-Based Ensembles for Tabular Data Urška Matjašec Nikola Simidjievski M. Jamnik 29 0 0 09 Apr 2025
TabKAN: Advancing Tabular Data Analysis using Kolmogorov-Arnold Network Ali Eslamian Alireza Afzal Aghaei Qiang Cheng LMTD 78 0 0 09 Apr 2025
NNN: Next-Generation Neural Networks for Marketing Mix Modeling Thomas Mulc Mike Anderson Paul Cubre Huikun Zhang Ivy Liu Saket Kumar 122 0 0 08 Apr 2025
Boosting Relational Deep Learning with Pretrained Tabular Models Veronica Lachi Antonio Longa Beatrice Bevilacqua Bruno Lepri Andrea Passerini Bruno Ribeiro LMTD AI4CE 46 0 0 07 Apr 2025
Loss Functions in Deep Learning: A Comprehensive Review Omar Elharrouss Yasir Mahmood Yassine Bechqito Mohamed Adel Serhani E. Badidi Jamal Riffi Hamid Tairi 35 0 0 05 Apr 2025
Continual Contrastive Learning on Tabular Data with Out of Distribution Achmad Ginanjar Xue Li Priyanka Singh Wen Hua LMTD 69 0 0 19 Mar 2025
LLM-FE: Automated Feature Engineering for Tabular Data with LLMs as Evolutionary Optimizers Nikhil Abhyankar Parshin Shojaee Chandan K. Reddy 61 0 0 18 Mar 2025
GFSNetwork: Differentiable Feature Selection via Gumbel-Sigmoid Relaxation Witold Wydmański Marek Śmieja 31 0 0 17 Mar 2025
MaskSDM with Shapley values to improve flexibility, robustness, and explainability in species distribution modeling Robin Zbinden Nina Van Tiel Gencer Sumbul Chiara Vanalli B. Kellenberger D. Tuia 44 0 0 17 Mar 2025
HyConEx: Hypernetwork classifier with counterfactual explanations Patryk Marszałek Ulvi Movsum-zada Oleksii Furman Kamil Ksiazek P. Spurek Marek Śmieja 56 0 0 16 Mar 2025
Detecting Dataset Bias in Medical AI: A Generalized and Modality-Agnostic Auditing Framework Nathan G. Drenkow Mitchell Pavlak Keith Harrigian Ayah Zirikly Adarsh Subbaswamy Mathias Unberath MLAU 66 1 0 13 Mar 2025
How Well Does Your Tabular Generator Learn the Structure of Tabular Data? Xiangjian Jiang Nikola Simidjievski M. Jamnik LMTD 83 0 0 13 Mar 2025
Dynamic Feature Selection from Variable Feature Sets Using Features of Features Katsumi Takahashi Koh Takeuchi Hisashi Kashima 48 0 0 13 Mar 2025
Learning Decision Trees as Amortized Structure Inference Mohammed Mahfoud Ghait Boukachab Michał Koziarski A. Garcia Stefan Bauer Yoshua Bengio Nikolay Malkin BDL 53 0 0 10 Mar 2025
Swift Hydra: Self-Reinforcing Generative Framework for Anomaly Detection with Multiple Mamba Models Nguyen H K. Do Truc Nguyen Malik Hassanaly Raed Alharbi Jung Taek Seo My T. Thai 54 0 0 09 Mar 2025
Confidence HNC: A Network Flow Technique for Binary Classification with Noisy Labels Dorit Hochbaum Torpong Nitayanont 67 0 0 04 Mar 2025
Prior-Fitted Networks Scale to Larger Datasets When Treated as Weak Learners Yuxin Wang Botian Jiang Yiran Guo Quan Gan David Wipf Xuanjing Huang Xipeng Qiu AI4CE 57 2 0 03 Mar 2025
A Generalized Theory of Mixup for Structure-Preserving Synthetic Data Chungpa Lee Jongho Im Joseph H.T. Kim 39 0 0 03 Mar 2025
Understanding the Limits of Deep Tabular Methods with Temporal Shift Hao-Run Cai Han-Jia Ye AI4TS 56 2 0 27 Feb 2025
TabGLM: Tabular Graph Language Model for Learning Transferable Representations Through Multi-Modal Consistency Minimization Anay Majee Maria Xenochristou Wei-Peng Chen LMTD 43 0 0 26 Feb 2025
Sample Selection via Contrastive Fragmentation for Noisy Label Regression C. Kim Sangwoo Moon Jihwan Moon Dongyeon Woo Gunhee Kim NoLa 54 0 0 25 Feb 2025
In-context learning of evolving data streams with tabular foundational models Afonso Lourenço João Gama Eric P. Xing Goreti Marreiros 61 0 0 24 Feb 2025
Diffusion Models for Tabular Data: Challenges, Current Progress, and Future Directions Zhong Li Qi Huang Lincen Yang Jiayang Shi Zhao Yang N. V. Stein Thomas Bäck M. Leeuwen DiffM 44 0 0 24 Feb 2025
Data Analysis Prediction over Multiple Unseen Datasets: A Vector Embedding Approach Andreas Loizou Dimitrios Tsoumakos 38 0 0 24 Feb 2025
A Closer Look at TabPFN v2: Strength, Limitation, and Extension Han-Jia Ye Si-Yang Liu Wei-Lun Chao 41 3 0 24 Feb 2025
Mixture of Attention Yields Accurate Results for Tabular Data Xuechen Li Yupeng Li Jian Liu Xiaolin Jin Tian Yang Xin Hu 47 0 0 18 Feb 2025
LLM Embeddings for Deep Learning on Tabular Data Boshko Koloski Andrei Margeloiu Xiangjian Jiang Blaž Škrlj Nikola Simidjievski M. Jamnik LMTD 79 0 0 17 Feb 2025
Is Deep Learning finally better than Decision Trees on Tabular Data? Guri Zabergja Arlind Kadra Christian M. M. Frey Josif Grabocka LMTD 106 0 0 17 Feb 2025
(GG) MoE vs. MLP on Tabular Data Andrei Chernov BDL MoE 80 1 0 05 Feb 2025
TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems Si-Yang Liu Han-Jia Ye 68 5 0 04 Feb 2025
Rethinking Early Stopping: Refine, Then Calibrate Eugene Berta David Holzmüller Michael I. Jordan Francis Bach 67 0 0 31 Jan 2025
Enhancing Glucose Level Prediction of ICU Patients through Hierarchical Modeling of Irregular Time-Series Hadi Mehdizavareh Arijit Khan Simon Lebech Cichosz AI4TS 47 0 0 28 Jan 2025
On Learning Representations for Tabular Data Distillation Inwon Kang Parikshit Ram Yi Zhou Horst Samulowitz O. Seneviratne DD 64 0 0 23 Jan 2025
Algorithm Selection with Probing Trajectories: Benchmarking the Choice of Classifier Model Quentin Renau E. Hart 29 0 0 20 Jan 2025
Transfer Learning of Tabular Data by Finetuning Large Language Models S. B. Rabbani Ibna Kowsar Manar D. Samad LMTD 46 1 0 12 Jan 2025
AIGT: AI Generative Table Based on Prompt Mingming Zhang Zhiqing Xiao Guoshan Lu Sai Wu Weiqiang Wang Xing Fu Can Yi Junbo Zhao LMTD VLM 35 2 0 24 Dec 2024