TabPFN-MT: A Natively Multitask In-Context Learner for Tabular Data
Fuente:
arXiv
Saved in:
| Main Authors: | Cureton, Cormac, Armanfard, Narges |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
MultiTab: A Scalable Foundation for Multitask Learning on Tabular Data
by: Sinodinos, Dimitrios, et al.
Published: (2025)
by: Sinodinos, Dimitrios, et al.
Published: (2025)
uLEAD-TabPFN: Uncertainty-aware Dependency-based Anomaly Detection with TabPFN
by: Lu, Sha, et al.
Published: (2026)
by: Lu, Sha, et al.
Published: (2026)
Noise Immunity in In-Context Tabular Learning: An Empirical Robustness Analysis of TabPFN's Attention Mechanisms
by: Hu, James, et al.
Published: (2026)
by: Hu, James, et al.
Published: (2026)
Can TabPFN Compete with GNNs for Node Classification via Graph Tabularization?
by: Choi, Jeongwhan, et al.
Published: (2025)
by: Choi, Jeongwhan, et al.
Published: (2025)
Interpretable Machine Learning for TabPFN
by: Rundel, David, et al.
Published: (2024)
by: Rundel, David, et al.
Published: (2024)
Gradient Free Deep Reinforcement Learning With TabPFN
by: Schiff, David, et al.
Published: (2025)
by: Schiff, David, et al.
Published: (2025)
TabPFGen -- Tabular Data Generation with TabPFN
by: Ma, Junwei, et al.
Published: (2024)
by: Ma, Junwei, et al.
Published: (2024)
Real-TabPFN: Improving Tabular Foundation Models via Continued Pre-training With Real-World Data
by: Garg, Anurag, et al.
Published: (2025)
by: Garg, Anurag, et al.
Published: (2025)
Tabular Data with Class Imbalance: Predicting Electric Vehicle Crash Severity with Pretrained Transformers (TabPFN) and Mamba-Based Models
by: Somvanshi, Shriyank, et al.
Published: (2025)
by: Somvanshi, Shriyank, et al.
Published: (2025)
Adaptation and Fine-tuning with TabPFN for Travelling Salesman Problem
by: Vu, Nguyen Gia Hien, et al.
Published: (2025)
by: Vu, Nguyen Gia Hien, et al.
Published: (2025)
In-Context Data Distillation with TabPFN
by: Ma, Junwei, et al.
Published: (2024)
by: Ma, Junwei, et al.
Published: (2024)
Causal Pre-training Under the Fairness Lens: An Empirical Study of TabPFN
by: Liu, Qinyi, et al.
Published: (2026)
by: Liu, Qinyi, et al.
Published: (2026)
Chunked TabPFN: Exact Training-Free In-Context Learning for Long-Context Tabular Data
by: Sergazinov, Renat, et al.
Published: (2025)
by: Sergazinov, Renat, et al.
Published: (2025)
Language-Guided Reinforcement Learning for Hard Attention in Few-Shot Learning
by: Nikpour, Bahareh, et al.
Published: (2023)
by: Nikpour, Bahareh, et al.
Published: (2023)
Drift-Resilient TabPFN: In-Context Learning Temporal Distribution Shifts on Tabular Data
by: Helli, Kai, et al.
Published: (2024)
by: Helli, Kai, et al.
Published: (2024)
TabPFN Through The Looking Glass: An interpretability study of TabPFN and its internal representations
by: Gupta, Aviral, et al.
Published: (2026)
by: Gupta, Aviral, et al.
Published: (2026)
ConTextTab: A Semantics-Aware Tabular In-Context Learner
by: Spinaci, Marco, et al.
Published: (2025)
by: Spinaci, Marco, et al.
Published: (2025)
nanoTabPFN: A Lightweight and Educational Reimplementation of TabPFN
by: Pfefferle, Alexander, et al.
Published: (2025)
by: Pfefferle, Alexander, et al.
Published: (2025)
TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems
by: Liu, Si-Yang, et al.
Published: (2025)
by: Liu, Si-Yang, et al.
Published: (2025)
TabPFN-3: Technical Report
by: Grinsztajn, Léo, et al.
Published: (2026)
by: Grinsztajn, Léo, et al.
Published: (2026)
TabPFN-2.5: Advancing the State of the Art in Tabular Foundation Models
by: Grinsztajn, Léo, et al.
Published: (2025)
by: Grinsztajn, Léo, et al.
Published: (2025)
Does TabPFN Understand Causal Structures?
by: Swelam, Omar, et al.
Published: (2025)
by: Swelam, Omar, et al.
Published: (2025)
TabMGP: Martingale Posterior with TabPFN
by: Ng, Kenyon, et al.
Published: (2025)
by: Ng, Kenyon, et al.
Published: (2025)
Uncertainty-Aware Tabular Prediction: Evaluating VBLL-Enhanced TabPFN in Safety-Critical Medical Data
by: Ramalingam, Madhushan
Published: (2025)
by: Ramalingam, Madhushan
Published: (2025)
TIME: TabPFN-Integrated Multimodal Engine for Robust Tabular-Image Learning
by: Luo, Jiaqi, et al.
Published: (2025)
by: Luo, Jiaqi, et al.
Published: (2025)
ICLAD: In-Context Learning for Unified Tabular Anomaly Detection Across Supervision Regimes
by: Wei, Jack Yi, et al.
Published: (2026)
by: Wei, Jack Yi, et al.
Published: (2026)
Is TabPFN the Silver Bullet for Insurance Pricing?
by: Deprez, Bruno, et al.
Published: (2026)
by: Deprez, Bruno, et al.
Published: (2026)
What exactly has TabPFN learned to do?
by: McCarter, Calvin
Published: (2025)
by: McCarter, Calvin
Published: (2025)
Multitask-Informed Prior for In-Context Learning on Tabular Data: Application to Steel Property Prediction
by: Sinodinos, Dimitrios, et al.
Published: (2026)
by: Sinodinos, Dimitrios, et al.
Published: (2026)
TabICL: A Tabular Foundation Model for In-Context Learning on Large Data
by: Qu, Jingang, et al.
Published: (2025)
by: Qu, Jingang, et al.
Published: (2025)
Improving TabPFN's Synthetic Data Generation by Integrating Causal Structure
by: Tugnoli, Davide, et al.
Published: (2026)
by: Tugnoli, Davide, et al.
Published: (2026)
TabPFN Extensions for Interpretable Geotechnical Modelling
by: Saito, Taiga, et al.
Published: (2026)
by: Saito, Taiga, et al.
Published: (2026)
TabPFN: One Model to Rule Them All?
by: Zhang, Qiong, et al.
Published: (2025)
by: Zhang, Qiong, et al.
Published: (2025)
MultiModalPFN: Extending Prior-Data Fitted Networks for Multimodal Tabular Learning
by: Kim, Wall, et al.
Published: (2026)
by: Kim, Wall, et al.
Published: (2026)
A principled framework for uncertainty decomposition in TabPFN
by: Fortini, Sandra, et al.
Published: (2026)
by: Fortini, Sandra, et al.
Published: (2026)
Cross-Task Affinity Learning for Multitask Dense Scene Predictions
by: Sinodinos, Dimitrios, et al.
Published: (2024)
by: Sinodinos, Dimitrios, et al.
Published: (2024)
Realistic Evaluation of TabPFN v2 in Open Environments
by: Cheng, Zi-Jian, et al.
Published: (2025)
by: Cheng, Zi-Jian, et al.
Published: (2025)
TabGen-ICL: Residual-Aware In-Context Example Selection for Tabular Data Generation
by: Fang, Liancheng, et al.
Published: (2025)
by: Fang, Liancheng, et al.
Published: (2025)
EquiTabPFN: A Target-Permutation Equivariant Prior Fitted Networks
by: Arbel, Michael, et al.
Published: (2025)
by: Arbel, Michael, et al.
Published: (2025)
DP-TabICL: In-Context Learning with Differentially Private Tabular Data
by: Carey, Alycia N., et al.
Published: (2024)
by: Carey, Alycia N., et al.
Published: (2024)
Similar Items
-
MultiTab: A Scalable Foundation for Multitask Learning on Tabular Data
by: Sinodinos, Dimitrios, et al.
Published: (2025) -
uLEAD-TabPFN: Uncertainty-aware Dependency-based Anomaly Detection with TabPFN
by: Lu, Sha, et al.
Published: (2026) -
Noise Immunity in In-Context Tabular Learning: An Empirical Robustness Analysis of TabPFN's Attention Mechanisms
by: Hu, James, et al.
Published: (2026) -
Can TabPFN Compete with GNNs for Node Classification via Graph Tabularization?
by: Choi, Jeongwhan, et al.
Published: (2025) -
Interpretable Machine Learning for TabPFN
by: Rundel, David, et al.
Published: (2024)