{"total":53,"rows":[{"id":"2502.05564","title":"TabICL: A Tabular Foundation Model for In-Context Learning on Large Data","created":"2025-02-08","cited_by_count":289,"area":null},{"id":"2410.18164","title":"TabDPT: Scaling Tabular Foundation Models on Real Data","created":"2024-10-23","cited_by_count":113,"area":null},{"id":"2506.07918","title":"CausalPFN: Amortized Causal Effect Estimation via In-Context Learning","created":"2025-06-09","cited_by_count":49,"area":null},{"id":"2502.17361","title":"A Closer Look at TabPFN v2: Understanding Its Strengths and Extending Its Capabilities","created":"2025-02-24","cited_by_count":41,"area":null},{"id":"2502.02527","title":"TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems","created":"2025-02-04","cited_by_count":36,"area":null},{"id":"2504.16109","title":"Representation Learning for Tabular Data: A Comprehensive Survey","created":"2025-04-17","cited_by_count":36,"area":null},{"id":"2407.03257","title":"Revisiting Nearest Neighbor for Tabular Data: A Deep Tabular Baseline Two Decades Later","created":"2024-07-03","cited_by_count":30,"area":null},{"id":"2505.23947","title":"Position: The Future of Bayesian Prediction Is Prior-Fitted","created":"2025-05-29","cited_by_count":20,"area":null},{"id":"2505.14415","title":"Table Foundation Models: on knowledge pre-training for tabular learning","created":"2025-05-20","cited_by_count":19,"area":null},{"id":"2503.11842","title":"Test-Time Training Provably Improves Transformers as In-context Learners","created":"2025-03-14","cited_by_count":16,"area":null},{"id":"2506.05584","title":"TabFlex: Scaling Tabular Learning to Millions with Linear Attention","created":"2025-06-05","cited_by_count":15,"area":null},{"id":"2504.17660","title":"Effortless, Simulation-Efficient Bayesian Inference using Tabular Foundation Models","created":"2025-04-24","cited_by_count":13,"area":null},{"id":"2506.08982","title":"On Finetuning Tabular Foundation Models","created":"2025-06-10","cited_by_count":13,"area":null},{"id":"2601.09654","title":"Exploring Fine-Tuning for Tabular Foundation Models","created":"2026-01-14","cited_by_count":9,"area":null},{"id":"2502.16840","title":"In-context Learning of Evolving Data Streams with Tabular Foundational Models","created":"2025-02-24","cited_by_count":8,"area":null},{"id":"2509.00326","title":"Chunked TabPFN: Exact Training-Free In-Context Learning for Long-Context Tabular Data","created":"2025-08-30","cited_by_count":8,"area":null},{"id":"2606.07345","title":"TabSwift: An Efficient Tabular Foundation Model with Row-Wise Attention","created":"2026-06-05","cited_by_count":8,"area":null},{"id":"2512.11668","title":"Bridging Streaming Continual Learning via In-Context Large Tabular Models","created":"2025-12-12","cited_by_count":7,"area":null},{"id":"2603.29475","title":"Survival In-Context: Amortized Bayesian Survival Analysis via Prior-Fitted Networks","created":"2026-03-31","cited_by_count":6,"area":null},{"id":"2608.01400","title":"TabDPT-Turbo: Efficient In-Context Learning for Tabular Prediction","created":"2026-08-02","cited_by_count":6,"area":null},{"id":"2505.11325","title":"Uncertainty Quantification for Prior-Data Fitted Networks using Martingale Posteriors","created":"2025-05-16","cited_by_count":5,"area":null},{"id":"2505.16226","title":"Realistic Evaluation of TabPFN v2 in Open Environments","created":"2025-05-22","cited_by_count":4,"area":null},{"id":"2508.09888","title":"Modern Neural Networks for Small Tabular Datasets: The New Default for Field-Scale Digital Soil Mapping?","created":"2025-08-13","cited_by_count":4,"area":null},{"id":"2602.11700","title":"TabSieve: Explicit In-Table Evidence Selection for Tabular Prediction","created":"2026-02-12","cited_by_count":4,"area":null},{"id":"2603.17439","title":"Baguan-TS: A Sequence-Native In-Context Learning Model for Time Series Forecasting with Covariates","created":"2026-03-18","cited_by_count":4,"area":null},{"id":"2604.01841","title":"Retrieval-aligned Tabular Foundation Models Enable Robust Clinical Risk Prediction in Electronic Health Records Under Real-world Constraints","created":"2026-04-02","cited_by_count":4,"area":null},{"id":"2605.04363","title":"Mitigating Label Shift in Tabular In-Context Learning via Test-Time Posterior Adjustment","created":"2026-05-06","cited_by_count":4,"area":null},{"id":"2511.19694","title":"TiCT: A Synthetically Pre-Trained Foundation Model for Time Series Classification","created":"2025-11-24","cited_by_count":3,"area":null},{"id":"2601.04110","title":"Causal Data Augmentation for Robust Fine-Tuning of Tabular Foundation Models","created":"2026-01-07","cited_by_count":3,"area":null},{"id":"2605.12904","title":"VIP-COP: Context Optimization for Tabular Foundation Models","created":"2026-05-13","cited_by_count":3,"area":null},{"id":"2510.02476","title":"Uncertainty-Guided Model Selection for Tabular Foundation Models in Biomolecule Efficacy Prediction","created":"2025-10-02","cited_by_count":2,"area":null},{"id":"2606.11473","title":"CRUMB: Efficient Prior Fitted Network Inference via Distributionally Matched Context Batching","created":"2026-06-09","cited_by_count":2,"area":null},{"id":"2608.17957","title":"Understanding the Surprising Generalization Properties of Tabular Foundation Models","created":"2026-08-18","cited_by_count":2,"area":null},{"id":"2505.10714","title":"GeoGrid-Bench: Can Foundation Models Understand Multimodal Gridded Geo-Spatial Data?","created":"2025-05-15","cited_by_count":1,"area":null},{"id":"2507.23227","title":"Enabling Few-Shot Alzheimer's Disease Diagnosis on Biomarker Data with Tabular LLMs","created":"2025-07-31","cited_by_count":1,"area":null},{"id":"2511.15941","title":"iLTM: Integrated Large Tabular Model","created":"2025-11-20","cited_by_count":1,"area":null},{"id":"2607.04809","title":"Context-Constrained Transfer Learning for Tabular Foundation Models via Data Distillation","created":"2026-07-06","cited_by_count":1,"area":null},{"id":"2608.12989","title":"Balanced Adaptive Prototype Selection for Scalable TabPFN Inference on Large-Scale Tabular Data","created":"2026-08-13","cited_by_count":1,"area":null},{"id":"2608.17856","title":"ARASH: Adaptive Retrieval And Shot Selection for Tabular Prediction","created":"2026-08-18","cited_by_count":1,"area":null},{"id":"2608.18849","title":"GEAR: Generative Expansion and Real Anchoring for Two-Stage Distillation of Tabular Foundation Models","created":"2026-08-19","cited_by_count":1,"area":null},{"id":"2609.05955","title":"LoGIC: Budgeted Context Construction for Node-Level Graph In-Context Learning with Tabular Foundation Models","created":"2026-09-05","cited_by_count":1,"area":null},{"id":"2609.06912","title":"From Synthetic Priors to Model Behavior: Structural Coverage in Tabular Foundation Models","created":"2026-09-07","cited_by_count":1,"area":null},{"id":"2603.17191","title":"Tabular LLMs for Interpretable Few-Shot Alzheimer's Disease Prediction with Multimodal Biomedical Data","created":"2026-03-17","cited_by_count":0,"area":null},{"id":"2605.05993","title":"TabCF: Distributional Control Function Estimation with Tabular Foundation Models","created":"2026-05-07","cited_by_count":0,"area":null},{"id":"2605.31272","title":"Algorithmic Recourse of In-Context Learning for Tabular Data","created":"2026-05-29","cited_by_count":0,"area":null},{"id":"2606.05265","title":"Data-efficient flood depth prediction through domain-aware coreset selection and tabular foundation models","created":"2026-06-03","cited_by_count":0,"area":null},{"id":"2606.30258","title":"KnowsTFM: Knowledge-Informed Fine-Tuning of Small Tabular Foundation Models","created":"2026-06-29","cited_by_count":0,"area":null},{"id":"2608.16429","title":"Localized TabICLv2: Scaling Tabular In-Context Learning through k-NN","created":"2026-08-17","cited_by_count":0,"area":null},{"id":"2609.13039","title":"Transfer Learning for Evolving Domains","created":"2026-09-11","cited_by_count":0,"area":null},{"id":"2609.13202","title":"Do Tabular Foundation Models Still Need Feature Engineering?","created":"2026-08-14","cited_by_count":0,"area":null},{"id":"2609.28208","title":"Support-Compiled Feature Folding: More Evidence at Lower Memory Across Tabular Foundation Models","created":"2026-09-23","cited_by_count":0,"area":null},{"id":"2610.01143","title":"Parameter-Efficient Distributionally Robust Adaptation of Tabular Foundation Models under Subpopulation Shift","created":"2026-10-01","cited_by_count":0,"area":null},{"id":"2610.13764","title":"How Well Do Prior-Data Fitted Networks Amortize Bayesian Inference?","created":"2026-10-09","cited_by_count":0,"area":null}],"next_cursor":null}