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On Embeddings for Numerical Features in Tabular Deep Learning

10 March 2022

Papers citing "On Embeddings for Numerical Features in Tabular Deep Learning"

50 / 105 papers shown

Title
Relational Deep Learning: Challenges, Foundations and Next-Generation Architectures Vijay Prakash Dwivedi Charilaos I. Kanatsoulis Shenyang Huang Jure Leskovec GNN 3DV 49 0 0 19 Jun 2025
Universal Laboratory Model: prognosis of abnormal clinical outcomes based on routine tests Pavel Karpov Ilya Petrenkov Ruslan Raiman 10 0 0 18 Jun 2025
Descriptor-based Foundation Models for Molecular Property Prediction Jackson Burns Akshat Zalte William Green 16 0 0 18 Jun 2025
On Finetuning Tabular Foundation Models Ivan Rubachev Akim Kotelnikov Nikolay Kartashev Artem Babenko 33 0 0 10 Jun 2025
Random at First, Fast at Last: NTK-Guided Fourier Pre-Processing for Tabular DL Renat Sergazinov Jing Wu Shao-An Yin AAML LMTD 66 0 0 03 Jun 2025
Binary Cumulative Encoding meets Time Series Forecasting Andrei Chernov Vitaliy Pozdnyakov Ilya Makarov AI4TS 53 0 0 30 May 2025
multivariateGPT: a decoder-only transformer for multivariate categorical and numeric data Andrew Loza Jun Yup Kim Shangzheng Song Yihang Liu Joseph J. Y. Sung R Andrew Taylor Dennis L. Shung 38 0 0 27 May 2025
TabSTAR: A Foundation Tabular Model With Semantically Target-Aware Representations Alan Arazi Eilam Shapira Roi Reichart LMTD 207 0 0 23 May 2025
Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Si-Yang Liu Qile Zhou Han-Jia Ye LMTD LRM 121 0 0 19 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 383 0 0 08 May 2025
Representation Learning for Tabular Data: A Comprehensive Survey Jun-Peng Jiang Si-Yang Liu Hao-Run Cai Qile Zhou Han-Jia Ye LMTD 183 4 0 17 Apr 2025
Beyond Black-Box Predictions: Identifying Marginal Feature Effects in Tabular Transformer Networks Anton Thielmann Arik Reuter Benjamin Saefken LMTD 182 0 0 11 Apr 2025
Boosting Relational Deep Learning with Pretrained Tabular Models Veronica Lachi Antonio Longa Beatrice Bevilacqua Bruno Lepri Andrea Passerini Bruno Ribeiro LMTD AI4CE 60 0 0 07 Apr 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 75 0 0 17 Mar 2025
Do We Always Need the Simplicity Bias? Looking for Optimal Inductive Biases in the Wild Damien Teney Liangze Jiang Florin Gogianu Ehsan Abbasnejad 474 2 0 13 Mar 2025
UniNet: A Unified Multi-granular Traffic Modeling Framework for Network Security Binghui Wu D. Divakaran M. Gurusamy 97 0 0 06 Mar 2025
Understanding the Limits of Deep Tabular Methods with Temporal Shift Hao-Run Cai Han-Jia Ye AI4TS 116 4 0 27 Feb 2025
A Closer Look at TabPFN v2: Understanding Its Strengths and Extending Its Capabilities Han-Jia Ye Si-Yang Liu Wei-Lun Chao 129 0 0 24 Feb 2025
Universal Embedding Function for Traffic Classification via QUIC Domain Recognition Pretraining: A Transfer Learning Success Jan Luxemburk Karel Hynek Richard Plný T. Čejka 123 1 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 198 0 0 17 Feb 2025
TabICL: A Tabular Foundation Model for In-Context Learning on Large Data Jingang Qu David Holzmüller Gaël Varoquaux Marine Le Morvan LMTD 291 16 0 08 Feb 2025
(GG) MoE vs. MLP on Tabular Data Andrei Chernov BDL MoE 153 1 0 05 Feb 2025
TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems Si-Yang Liu Han-Jia Ye 191 12 0 04 Feb 2025
On Learning Representations for Tabular Data Distillation Inwon Kang Parikshit Ram Yi Zhou Horst Samulowitz Oshani Seneviratne DD 117 0 0 23 Jan 2025
LLM-Rubric: A Multidimensional, Calibrated Approach to Automated Evaluation of Natural Language Texts Helia Hashemi J. Eisner Corby Rosset Benjamin Van Durme Chris Kedzie 145 6 0 03 Jan 2025
RL-SPH: Learning to Achieve Feasible Solutions for Integer Linear Programs Tae-Hoon Lee Min-Soo Kim 150 0 0 29 Nov 2024
On the Efficiency of NLP-Inspired Methods for Tabular Deep Learning Anton Thielmann Soheila Samiee LMTD 176 1 0 26 Nov 2024
DNAMite: Interpretable Calibrated Survival Analysis with Discretized Additive Models Mike Van Ness Billy Block Madeleine Udell 72 1 0 08 Nov 2024
TabM: Advancing Tabular Deep Learning with Parameter-Efficient Ensembling Yury Gorishniy Akim Kotelnikov Artem Babenko LMTD MoE 278 13 0 31 Oct 2024
TabDPT: Scaling Tabular Foundation Models Junwei Ma Valentin Thomas Rasa Hosseinzadeh Hamidreza Kamkari Alex Labach Jesse C. Cresswell Keyvan Golestan Guangwei Yu M. Volkovs Anthony L. Caterini LMTD 115 8 0 23 Oct 2024
A Survey on Deep Tabular Learning Shriyank Somvanshi Subasish Das Syed Aaqib Javed Gian Antariksa Ahmed Hossain LMTD 78 10 0 15 Oct 2024
A Simple Baseline for Predicting Events with Auto-Regressive Tabular Transformers Alex Stein Samuel Sharpe Doron Bergman Senthil Kumar C. Bayan Bruss John P. Dickerson Tom Goldstein Micah Goldblum LMTD AI4TS 92 2 0 14 Oct 2024
Gem: Gaussian Mixture Model Embeddings for Numerical Feature Distributions Hafiz Tayyab Rauf Alex Bogatu N. Paton André Freitas 62 0 0 09 Oct 2024
Efficient Feature Interactions with Transformers: Improving User Spending Propensity Predictions in Gaming Ved Prakash Kartavya Kothari AI4TS 96 0 0 25 Sep 2024
The Credibility Transformer Ronald Richman Salvatore Scognamiglio M. Wüthrich 78 1 0 25 Sep 2024
TabGraphs: A Benchmark and Strong Baselines for Learning on Graphs with Tabular Node Features Gleb Bazhenov Oleg Platonov Liudmila Prokhorenkova LMTD 69 1 0 22 Sep 2024
Mamba for Scalable and Efficient Personalized Recommendations Andrew Starnes Clayton Webster Mamba 141 0 0 11 Sep 2024
Language Modeling on Tabular Data: A Survey of Foundations, Techniques and Evolution Yucheng Ruan Xiang Lan Jingying Ma Yizhi Dong Kai He Mengling Feng LMTD 136 10 0 20 Aug 2024
Mambular: A Sequential Model for Tabular Deep Learning Anton Thielmann Manish Kumar Christoph Weisser Arik Reuter Benjamin Säfken Soheila Samiee Mamba LMTD 131 8 0 12 Aug 2024
Transformers with Stochastic Competition for Tabular Data Modelling Andreas Voskou Charalambos Christoforou S. Chatzis LMTD 97 1 0 18 Jul 2024
Team up GBDTs and DNNs: Advancing Efficient and Effective Tabular Prediction with Tree-hybrid MLPs Jiahuan Yan Jintai Chen Qianxing Wang Benlin Liu Jian Wu 100 3 0 13 Jul 2024
Gradient Boosting Reinforcement Learning Benjamin Fuhrer Chen Tessler Gal Dalal OffRL AI4CE 185 3 0 11 Jul 2024
Learning Interpretable Differentiable Logic Networks Chang Yue N. Jha NAI AI4CE 72 1 0 04 Jul 2024
TALENT: A Tabular Analytics and Learning Toolbox Si-Yang Liu Hao-Run Cai Qi-Le Zhou Han-Jia Ye LMTD 86 7 0 04 Jul 2024
FairJob: A Real-World Dataset for Fairness in Online Systems Mariia Vladimirova Federico Pavone Eustache Diemert 100 2 0 03 Jul 2024
A Data-Centric Perspective on Evaluating Machine Learning Models for Tabular Data Andrej Tschalzev Sascha Marton Stefan Lüdtke Christian Bartelt Heiner Stuckenschmidt LMTD 119 6 0 02 Jul 2024
Fine-grained Attention in Hierarchical Transformers for Tabular Time-series Raphaël Azorin Zied Ben-Houidi Massimo Gallo A. Finamore Pietro Michiardi AI4TS LMTD 114 0 0 21 Jun 2024
Text Serialization and Their Relationship with the Conventional Paradigms of Tabular Machine Learning Kyoka Ono Simon A. Lee LMTD 56 8 0 19 Jun 2024
ContextFlow++: Generalist-Specialist Flow-based Generative Models with Mixed-Variable Context Encoding Denis A. Gudovskiy Tomoyuki Okuno Yohei Nakata MoE AI4CE 90 2 0 02 Jun 2024
Mixture of In-Context Prompters for Tabular PFNs Derek Xu Olcay Cirit Reza Asadi Yizhou Sun Wei Wang 107 15 0 25 May 2024