On Embeddings for Numerical Features in Tabular Deep Learning

10 March 2022

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

50 / 99 papers shown

Title
Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard Si-Yang Liu Qile Zhou Han-Jia Ye LMTD LRM 30 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 171 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 53 1 0 17 Apr 2025
Beyond Black-Box Predictions: Identifying Marginal Feature Effects in Tabular Transformer Networks Anton Thielmann Arik Reuter Benjamin Saefken LMTD 78 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 46 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 46 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 243 0 0 13 Mar 2025
UniNet: A Unified Multi-granular Traffic Modeling Framework for Network Security Binghui Wu D. Divakaran M. Gurusamy 57 0 0 06 Mar 2025
Understanding the Limits of Deep Tabular Methods with Temporal Shift Hao-Run Cai Han-Jia Ye AI4TS 76 3 0 27 Feb 2025
A Closer Look at TabPFN v2: Strength, Limitation, and Extension Han-Jia Ye Si-Yang Liu Wei-Lun Chao 46 4 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 52 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 84 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 88 6 0 08 Feb 2025
(GG) MoE vs. MLP on Tabular Data Andrei Chernov BDL MoE 85 1 0 05 Feb 2025
TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems Si-Yang Liu Han-Jia Ye 73 7 0 04 Feb 2025
On Learning Representations for Tabular Data Distillation Inwon Kang Parikshit Ram Yi Zhou Horst Samulowitz Oshani Seneviratne DD 73 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 68 2 0 03 Jan 2025
RL-MILP Solver: A Reinforcement Learning Approach for Solving Mixed-Integer Linear Programs with Graph Neural Networks Tae-Hoon Lee Min-Soo Kim 81 0 0 29 Nov 2024
On the Efficiency of NLP-Inspired Methods for Tabular Deep Learning Anton Thielmann Soheila Samiee LMTD 78 1 0 26 Nov 2024
DNAMite: Interpretable Calibrated Survival Analysis with Discretized Additive Models Mike Van Ness Billy Block Madeleine Udell 34 1 0 08 Nov 2024
TabM: Advancing Tabular Deep Learning with Parameter-Efficient Ensembling Yury Gorishniy Akim Kotelnikov Artem Babenko LMTD MoE 99 7 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 36 4 0 23 Oct 2024
A Survey on Deep Tabular Learning Shriyank Somvanshi Subasish Das Syed Aaqib Javed Gian Antariksa Ahmed Hossain LMTD 41 7 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 55 1 0 14 Oct 2024
Gem: Gaussian Mixture Model Embeddings for Numerical Feature Distributions Hafiz Tayyab Rauf Alex Bogatu N. Paton André Freitas 28 0 0 09 Oct 2024
Efficient Feature Interactions with Transformers: Improving User Spending Propensity Predictions in Gaming Ved Prakash Kartavya Kothari AI4TS 24 0 0 25 Sep 2024
The Credibility Transformer Ronald Richman Salvatore Scognamiglio M. Wüthrich 36 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 31 1 0 22 Sep 2024
Mamba for Scalable and Efficient Personalized Recommendations Andrew Starnes Clayton Webster Mamba 38 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 73 4 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 76 6 0 12 Aug 2024
Transformers with Stochastic Competition for Tabular Data Modelling Andreas Voskou Charalambos Christoforou S. Chatzis LMTD 37 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 Danny Chen Jian Wu 43 3 0 13 Jul 2024
Learning Interpretable Differentiable Logic Networks Chang Yue N. Jha NAI AI4CE 29 0 0 04 Jul 2024
TALENT: A Tabular Analytics and Learning Toolbox Si-Yang Liu Hao-Run Cai Qi-Le Zhou Han-Jia Ye LMTD 38 5 0 04 Jul 2024
FairJob: A Real-World Dataset for Fairness in Online Systems Mariia Vladimirova Federico Pavone Eustache Diemert 47 1 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 42 4 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 62 0 0 21 Jun 2024
Text Serialization and Their Relationship with the Conventional Paradigms of Tabular Machine Learning Kyoka Ono Simon A. Lee LMTD 24 7 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 43 2 0 02 Jun 2024
Mixture of In-Context Prompters for Tabular PFNs Derek Xu Olcay Cirit Reza Asadi Yizhou Sun Wei Wang 41 9 0 25 May 2024
Binning as a Pretext Task: Improving Self-Supervised Learning in Tabular Domains Kyungeun Lee Ye Seul Sim Hye-Seung Cho Moonjung Eo Suhee Yoon Sanghyu Yoon Woohyung Lim SSL 38 6 0 13 May 2024
Feature Distribution Shift Mitigation with Contrastive Pretraining for Intrusion Detection Weixing Wang Haojin Yang Christoph Meinel Hasan Yağiz Özkan Cristian Bermudez Serna C. M. Machuca 29 0 0 23 Apr 2024
BiSHop: Bi-Directional Cellular Learning for Tabular Data with Generalized Sparse Modern Hopfield Model Chenwei Xu Yu-Chao Huang Jerry Yao-Chieh Hu Weijian Li Ammar Gilani H. Goan Han Liu 57 19 0 04 Apr 2024
PyTorch Frame: A Modular Framework for Multi-Modal Tabular Learning Weihua Hu Yiwen Yuan Zecheng Zhang Akihiro Nitta Kaidi Cao Vid Kocijan J. Leskovec Matthias Fey LMTD 47 11 0 31 Mar 2024
Unleashing the Potential of Large Language Models for Predictive Tabular Tasks in Data Science Yazheng Yang Yuqi Wang Sankalok Sen Lei Li Qi Liu LMTD 46 9 0 29 Mar 2024
Sequential Decision-Making for Inline Text Autocomplete Rohan Chitnis Shentao Yang A. Geramifard LRM 22 1 0 21 Mar 2024
Automated data processing and feature engineering for deep learning and big data applications: a survey A. Mumuni F. Mumuni TPM 46 49 0 18 Mar 2024
Anytime Neural Architecture Search on Tabular Data Naili Xing Shaofeng Cai Zhaojing Luo Bengchin Ooi Jian Pei 36 1 0 15 Mar 2024
Making Pre-trained Language Models Great on Tabular Prediction Jiahuan Yan Bo Zheng Hongxia Xu Yiheng Zhu Danny Chen Jimeng Sun Jian Wu Jintai Chen LMTD 39 38 0 04 Mar 2024