Tabular Prediction

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8 papers in the last four weeks, down 11% on the four weeks before. 0.1% of all new papers.

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  1. Beyond Correctness: Evaluating Semantic Knowledge in Cross-Table Transfer

    Sep 28, 2026Seokyong Sheem, Hochang Lee, Suyeong Lee +1Tabular MLTabular Prediction

    Korea University

  2. What Do Tabular Foundation Models Compute In Context? In-Situ Representation Refinement through Attention-Gated Updates

    Sep 23, 2026Tian Zhou, Beverly Jin, Linxiao Yang +6Tabular Foundation ModelsIn-Context Learning

    Ant Group · Independent Researcher

  3. A JEPA Recipe for Tabular Foundation Models

    Sep 22, 2026Mingyu Jeon, Suwan Cho, Jae Young SuhTabular Foundation ModelsSelf-Supervised Pre-Training

    Modulabs, Seoul, Republic of Korea

  4. TabPFN-3.5: Technical Report

    Sep 15, 2026Benjamin Jäger, Nick Erickson, Léo Grinsztajn +44Tabular Foundation ModelsInference-Time Optimization

  5. Agentic Search Spaces for Tabular Machine Learning

    Sep 14, 2026Renat Sergazinov, Artem Chistyakov, Sergey Pankevich +1Large Language Model-Guided OptimizationTabular ML

    † Yandex ‡ HSE University

  6. A Differentially Private Federated Proximal Optimization Framework for Customer Churn Prediction in Heterogeneous Federated Telecom Networks

    Sep 14, 2026Joydeb Kumar Sana, Subrata Chakraborty, M M Manjurul IslamDifferentially Private Federated LearningTabular Prediction

    Institute of Information and Communication Technology, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh · School of Science and Technology, Faculty of Science, Agriculture, Business and Law, University of New England, Armidale, NSW, Australia · Intelligent Systems Research Centre, Ulster University, Londonderry BT48 7JL, UK

  7. Quantum Feature Engineering for Credit Default Prediction: When and Why IQP Circuits Help Linear Classifiers

    Sep 9, 2026Menachem Finkelstein, Diana Legziel Levy, Zohar Yakhini +1Quantum Feature MapsQuantum Machine Learning

    Reichman University, Israel

  8. TabBench-Bio: A Living Benchmark for Machine Learning on High-Dimensional Biomedical Tables

    Sep 7, 2026Jules Kreuer, Sofiane Ouaari, Julia Hellmig +2Tabular Foundation ModelsTabular ML

    Methods in Medical Informatics, University of Tübingen, Tübingen, Germany

  9. Can Large Language Models Anticipate Behavioral Responses to Social Policies? A Case of Pension Enrollment Prediction among China's Flexible Workers

    Sep 4, 2026Yumiao Li, Peixin Liu, Donglin Di +2LLM EvaluationPolicy Evaluation

    School of Economics and Management, Tsinghua University, Beijing, China · Actuarial Science and Risk Management, University of Illinois Urbana-Champaign, Urbana, IL, USA · School of Computing, Harbin Institute of Technology, Harbin, China

  10. Solving In-Table Prediction Problems by Deep Neural Networks with Performance Evaluation Using Synthetic Data

    Sep 1, 2026Xiao Zhao, Daniela OelkeLearning with Missing DataTabular ML

    Institute for Machine Learning and Analytics Offenburg University · Department of Electrical Engineering, Medical Engineering and Computer Science Offenburg University

  11. Births are difficult to predict even with rich survey and full-population register data

    Sep 1, 2026Elizaveta Sivak, Emily M. Cantrell, Thomas Emery +109Event Time PredictionTabular Prediction

  12. Predicting Residential Rents in Dakar Using Machine Learning

    Aug 31, 2026Amadou Tidiane Kassa DialloTabular Prediction

    Dakar, Senegal

  13. When Does a Classifier Help an LLM? Classifier-Guided Prompting and Hybrid Classifier-LLM Models for Credit-Default Prediction

    Aug 30, 2026Rishi Datta, Lavanya PrahalladLLM PromptingCredit Scoring

    Amador Valley High School · Pleasanton, California, USA · Research Spark Hub Inc. +1

  14. TabSOM: A tabular-to-image encoding method based on self-organizing maps

    Aug 13, 2026David Chushig-Muzo, María Ángeles Rodríguez de Cara, Eva Milara +3Tabular MLSelf-Organizing Maps

    School of Mathematical and Computational Sciences, Yachay Tech University, Ecuador

  15. AutoGrable: What Is a Good Graph for a Table?

    Aug 11, 2026Tamara Cucumides, Floris GeertsGraph Structure LearningTabular Prediction

    University of Antwerp

  16. Full-Feature versus Limited-Input Machine Learning for Residential Energy Estimation: A Comparative Analysis of RECS and ResStock Under Realistic Input Constraints

    Aug 10, 2026Aditya Ramnarayan, Fatih Evren, Patti Gunderson +1Surrogate ModelingEnsemble Learning

    PhD Intern, Pacific Northwest National Laboratory · Researcher, Building Systems Group at Pacific Northwest National Laboratory · Data Scientist, Building Systems Group at Pacific Northwest National Laboratory

  17. Tabular Numeric Stretch Transformation

    Aug 10, 2026Zihao Ye, Juyong Kim, Johnna Sundberg +2Tabular MLAutomated Feature Engineering

    Machine Learning Department Carnegie Mellon University Pittsburgh, PA 15213, USA

  18. SkillTFM: Gated Skill Evolution for Training-Free Adaptation of Tabular Foundation Models

    Aug 6, 2026Yi He, Zhengkang Guan, Anpeng Wu +3Tabular Foundation ModelsTest-Time Adaptation

    Zhejiang University, Hangzhou, China · Tsinghua University, Beijing, China

  19. Do Tabular Foundation Models Agree with Themselves?

    Aug 6, 2026Christian Klötergens, Vijaya Krishna Yalavarthi, Lars Schmidt-Thieme +1Tabular Foundation ModelsTabular Prediction

    Institute of Computer Science & VWFS DARC, University of Hildesheim, Hildesheim, Germany

  20. Evaluating Machine Learning Models for Post-Wildfire Debris-Flow Prediction

    Aug 5, 2026Quinn Ledingham, Zhengsen Xu, Yimin Zhu +6Synthetic Data AugmentationTabular Prediction

    Department of Geomatics Engineering, University of Calgary, Calgary, AB, Canada

  21. Enhancing Tabular Learners with Context-Aware Semantic Embeddings

    Aug 4, 2026Günther Schindler, Maximilian Schambach, Johannes HöhneTabular Foundation ModelsRepresentation Learning

    SAP SE

  22. Why Large Language Models Fail at Tabular Prediction

    Aug 3, 2026Marta Garnelo, Wojciech M. CzarneckiLLM EvaluationTabular Classification

    Fundamental Technologies

  23. TabDPT-Turbo: Efficient In-Context Learning for Tabular Prediction

    Aug 2, 2026Rasa Hosseinzadeh, Alex Labach, Zexin Xue +3Tabular Foundation ModelsTabular ICL

    Layer 6 AI, Toronto, Canada · Cohere, Toronto, Canada

  24. SPARC Segmentation to Prediction via Affine Regression and Counterfactuals

    Jul 28, 2026Shivani, Subhayan RoyClass-Imbalanced LearningCounterfactual Data Augmentation

  25. Scaling Laws for Classical Machine Learning on Tabular Data: A Benchmark Study

    Jul 23, 2026Kaihua DingTabular MLScaling Laws

    University of Pennsylvania

  26. Bridging the Information Gap: Semantic Densification and Hindsight Distillation for Cold-Start Prediction

    Jul 19, 2026Hao Duong Le, Yifei Gao, Huan Li +4Cold-Start RecommendationUser Modeling

    Tsinghua University Beijing, China · Meituan Beijing, China

  27. AquaAugmentor: A Novel Feature Augmentation Algorithm for Water Potability Prediction

    Jul 17, 2026Muntasir Tabasum, Al Zadid Sultan Bin Habib, Tanpia Tasnim +3Tabular Prediction

    West Virginia University, Morgantown, WV 26506, USA · Green University of Bangladesh, Narayanganj-1461, Dhaka, Bangladesh · Stamford University Bangladesh, Dhaka-1217, Bangladesh

  28. Field-Aware RankMixer with Dual-Stream Bilinear Fusion for the Tencent UNI-REC Challenge

    Jul 17, 2026Yufeng Zhang, Zhengqi Xu, Jiajun CuiFeature Interaction ModelingRecommender Systems

    Independent Researcher · Meituan

  29. TabLoRA: Parameter-Efficient Low-Rank Ensemble Learning for Large-Scale Tabular Data

    Jul 11, 2026Jiaqi Luo, Shixin XuEnsemble LearningLow-Rank Adaptation

    School of Mathematical Sciences, Soochow University, No.1 Shizi Street, Suzhou, 215006, Jiangsu Province, China · Digital innovation research center, Duke Kunshan University, No.8 Duke Avenue, Kunshan, 215000, Jiangsu Province, China

  30. Application of machine learning to monster level prediction in tabletop RPG game design

    Jul 10, 2026Jolanta Śliwa, Jakub AdamczykOrdinal RegressionTabular Prediction

    Faculty of Computer Science, AGH University of Krakow, Cracow, Poland

  31. A Fair Benchmarking of Deep Relational Database Learning Models

    Jul 4, 2026Kazi F. Akhter, Bharath Ajendla, Manar D. SamadTransformerGraph Representation Learning

    Department of Computer Science Tennessee State University Nashville, TN, USA · SAP AI Research and Innovation SAP Labs Palo Alto, CA, USA

  32. Exploring Differences Between Tabular Enterprise Data and Public Benchmarks

    Jun 29, 2026Myung Jun Kim, Maximilian Schambach, Frank Essenberger +2Benchmark DesignTabular ML

    SAP SE, Germany.

  33. Beyond IID: How General Are Tabular Foundation Models, Really?

    Jun 29, 2026Lennart Purucker, Andrej Tschalzev, Nick Erickson +7Tabular Foundation ModelsOOD Generalization

    1Prior Labs · University of Mannheim · 4INRIA Saclay +5

  34. Hyperbolic Manifold Constrained Tabular Neural Network

    Jun 23, 2026Tian Li, Huizhi Liang, Lucy Robinson +1Tabular ClassificationTabular Representation Learning

    Newcastle University Newcastle upon Tyne, UK

  35. Predicting High-Risk Colorectal Polyps in African Americans Using Pre-Colonoscopy Clinical Features: Machine Learning Model Development and Temporal Validation

    Jun 19, 2026Basheer Qolomany, Mrinalini Deverapall, Adeyinka Laiyemo +5Tabular PredictionClinical Risk Prediction

    Departments of Internal Medicine, Pathology, and Biochemistry, and Cancer Center, Howard University College of Medicine, Washington, D.C., 20059, USA. · Clinical Effectiveness Research Group, University of Oslo, Oslo, Norway. · Wellcome/EPSRC Centre for Interventional and Surgical Sciences, University College London Hospital, London, UK.

  36. LLMs on Tabular Data with Limited Semantics: Evidence from Industrial Car Retrofit Prediction

    Jun 13, 2026Aina Vila Pons, Ioannis Tzachristas, Constantinos AntoniouTabular PredictionTabular Regression

    Chair of Transportation Systems Engineering, Technical University of Munich, Germany · BMW Group, Munich, Germany

  37. Leveraging Physiological Signals to Predict Exam Outcomes with Machine Learning

    Jun 12, 2026Lala Yamazaki, Ramchandra RimalEducational AssessmentAI in Education

    Department of Mathematical Sciences, Middle Tennessee State University, 1301 E Main St, Murfreesboro, 37132, TN, USA.

  38. Probabilistic Salary Prediction with Graph Attention Networks and a Mixture Density Network

    Jun 10, 2026Zhipei Qin, Mohammad Shokri, N. van Weeren +1Tabular Prediction

    Leiden Institute of Advanced Computer Science (LIACS) · Randstad N.V.

  39. TRL-Bench: Standardizing Cross-Paradigm Representation-Level Evaluation of Tabular Encoders

    Jun 8, 2026Wei Pang, Xiangru Jian, Hehan Li +10Representation LearningTabular Representation Learning

    The Chinese University of Hong Kong, Shenzhen · University of Waterloo · The University of Hong Kong +2

  40. TLRD: Teaching LLMs to Reason over Tabular Data with Tri-Level Rationale Distillation

    Jun 6, 2026Tianyuan Liang, Xuwei Tan, Lei Shi +6LLM GroundingKnowledge Distillation

    The Ohio State University · Stevens Institute of Technology

  41. TabSwift: An Efficient Tabular Foundation Model with Row-Wise Attention

    Jun 5, 2026Si-Yang Liu, Han-Jia YeTabular Foundation ModelsEfficient Inference

    School of Artificial Intelligence, Nanjing University, China · National Key Laboratory for Novel Software Technology, Nanjing University, China.

  42. GOTabPFN: From Feature Ordering to Compact Tokenization for Tabular Foundation Models on High-Dimensional Data

    Jun 3, 2026Al Zadid Sultan Bin Habib, Md Younus Ahamed, Prashnna Kumar Gyawali +2Tabular Foundation ModelsTabular Prediction

    Lane Department of Computer Science and Electrical Engineering, West Virginia University, Morgantown, WV 26506, USA · Scientific Computing and Imaging Institute & Department of Biomedical Informatics, The University of Utah, Salt Lake City, UT 84112, USA

  43. Towards Pretraining Text Encoders for TabPFN

    Jun 3, 2026Mustafa Tajjar, Alexander Pfefferle, Lennart Purucker +1Tabular Foundation ModelsFine-Tuning

    Department of Computer Science, University of Freiburg, Freiburg, Germany · ELLIS Institute Tübingen, Tübingen, Germany · Prior Labs, Freiburg, Germany.

  44. Speedrunning Tabular Foundation Model Pretraining

    Jun 2, 2026Salih Bora Ozturk, Alexander Pfefferle, Frank HutterTabular Foundation ModelsTabular Prediction

    University of Freiburg, Freiburg im Breisgau, Germany · ELLIS Institute Tübingen, Tübingen, Germany · Prior Labs, Freiburg im Breisgau, Germany

  45. TabPrep: Closing the Feature Engineering Gap in Tabular Benchmarks

    Jun 1, 2026Andrej Tschalzev, Nick Erickson, Yuyang Wang +4Tabular MLAutomated Feature Engineering

    University of Mannheim · Prior Labs · AWS +3

  46. ChurnNet: A Optimized Modern AI for Churn Prediction

    May 29, 2026Syed Saad Saif, Giulio Maggiore, Paolo Russo +1Time Series ClassificationMulti-Task Learning

    Department of Computer, Control, and Management Engineering, Sapienza University of Rome, Rome, Italy · Department of Law and Economics, UnitelmaSapienza University of Rome, Rome, Italy · R&D Center, Token Financial Technologies, Istanbul, Turkey +1

  47. FlagGAM: Rule-Basis Generalized Additive Models for Explainable Tabular Prediction

    May 29, 2026Zijie Zhao, Roy E. WelschInterpretable MLCorruption Robustness

    EECS Department, Massachusetts Institute of Technology, Cambridge, MA, USA · Sloan School of Management, Massachusetts Institute of Technology, Cambridge, MA, USA

  48. Evolutionary Rule Extraction from Corporate Default Prediction Models

    May 28, 2026Desirè Fabbretti, Matteo Pasquino, Elia Pacioni +2Interpretable MLCredit Scoring

    Department of Management, Università Politecnica delle Marche, Ancona, Italy · HES-SO Valais-Wallis, 3960 Sierre, Switzerland · University of Extremadura, 06800 Mérida, Spain

  49. The Good, the Bad, and the Ugly of Markov Boundary for Tabular Prediction

    May 28, 2026Shu Wan, Abhinav Gorantla, Huan Liu +1Structural Causal ModelsCausal Discovery

    Arizona State University Tempe, United States

  50. Explaining Tabular Foundation Model Differences Through Meta-Features

    May 27, 2026Markus Herre, Andrej Tschalzev, Sascha Marton +1Tabular Foundation ModelsTabular ML

    Clausthal University of Technology, Clausthal-Zellerfeld, Germany · University of Mannheim, Mannheim, Germany

  51. PINE: Pruning Boosted Tree Ensembles with Conformal In-Distribution Prediction Equivalence

    May 27, 2026Haruki Yajima, Yusuke MatsuiModel CompressionEnsemble Learning

    The University of Tokyo.

  52. Customer Churn Prediction on Structured Data Using FT-Transformer and Stacking Ensembles

    May 26, 2026Joyjit Roy, Samaresh Kumar Singh, Laxmi ShawTransformerEnsemble Learning

    Independent Researcher, Austin, TX, USA · Independent Researcher, Leander, TX · Texas A & M University-Victoria, Victoria, TX

  53. Analysis and Prediction of At-Risk Students Using Machine Learning Algorithms

    May 24, 2026Soheila Gheisari, Hamid SalarianAI in EducationEducational Data Mining

    Department of Information Technology, Sydney International School of Technology and Commerce, Sydney, NSW 2000, Australia

  54. Is TabPFN the Silver Bullet for Insurance Pricing?

    May 21, 2026Bruno Deprez, Wouter Verbeke, Tim VerdonckTabular Foundation ModelsTabular ICL

    KU Leuven · University of Antwerp-imec

  55. Foundation Models for Credit Risk Prediction: A Game Changer?

    May 18, 2026Bart Baesens, Andreas Goethals, Stefan Lessmann +10Tabular Foundation ModelsAI Risk Management

    Faculty of Economics and Business, KU Leuven, Belgium · School of Business and Economics, Humboldt University of Berlin, Germany · Department of Statistical and Actuarial Sciences, Western University, Canada +8

  56. Avoiding Structural Failure Modes in Tabular Fair SSL: Online Primal-Dual Allocation under Confidence Gating

    May 15, 2026Hangchuan Liang, Changchun LiPrimal-Dual OptimizationGroup Fairness

    College of Computer Science and Technology, Jilin University, China · Key Laboratory of Symbolic Computation and Knowledge Engineering of the Ministry of Education, Jilin University, China

  57. LoMETab: Beyond Rank-1 Ensembles for Tabular Deep Learning

    May 14, 2026Changryeol Choi, Hyewon Park, Yujin Kwon +1Ensemble LearningLow-Rank Adaptation

    CJ Logistics

  58. TabPFN-3: Technical Report

    May 13, 2026Léo Grinsztajn, Klemens Flöge, Oscar Key +38Tabular Foundation ModelsEfficient Neural Network Inference

  59. GHGbench: A Unified Multi-Entity, Multi-Task Benchmark for Carbon Emission Prediction

    May 13, 2026Yifan Duan, Siyuan Zheng, Lihuan Li +2Time Series ForecastingOOD Generalization

    School of Computer Science and Engineering University of New South Wales

  60. Predicting Decisions of AI Agents from Limited Interaction through Text-Tabular Modeling

    May 12, 2026Eilam Shapira, Moshe Tennenholtz, Roi ReichartNext-Action PredictionLLM Agents

    Faculty of Data and Decision Sciences Technion – Israel Institute of Technology Haifa, Israel