Support-Compiled Feature Folding: More Evidence at Lower Memory Across Tabular Foundation Models

arXiv:2609.28208 · cs.LG · Submitted 2026-09-23 · Read on arXiv

cs.LG

Submitted: 2026-09-23

Updated: 2026-09-25

Code: https://github.com/google-research/tabfm

Terminology

• Core — 118× in this paper · explained in 2 episodes
• Accuracy — 49× in this paper · explained in 1 episode
• Foundation Model — 12× in this paper · explained in 3 episodes
• Benchmark — 8× in this paper · explained in 2 episodes
• Aggregation — 7× in this paper · explained in 1 episode
• Foundation Models — 6× in this paper · explained in 7 episodes
• Feature Selection — 5× in this paper · explained in 4 episodes
• Transformer — 4× in this paper · explained in 2 episodes
• Robustness — 3× in this paper · explained in 5 episodes
• Support-Compiled Feature Folding — 3× in this paper
• Ablation — 2× in this paper · explained in 1 episode
• Feature Engineering — 2× in this paper · explained in 3 episodes
• Hierarchical Classification — 2× in this paper · explained in 2 episodes
• In-Context Learning — 2× in this paper · explained in 4 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Allocator — 1× in this paper · explained in 1 episode
• Bayesian Inference — 1× in this paper · explained in 5 episodes
• Calibration — 1× in this paper · explained in 7 episodes
• Exchangeability — 1× in this paper · explained in 2 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Frozen model — 1× in this paper · explained in 3 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• In-Context Learning (ICL) — 1× in this paper · explained in 5 episodes
• Latent Representation — 1× in this paper · explained in 2 episodes

Sources

• EXAONE Tabular 1.0 : Technical Report
• TabPFN-2.5: Advancing the State of the Art in Tabular Foundation Models
• TabPFN-3: Technical Report
• TabPFN-Wide: Continued Pre-Training for Extreme Feature Counts
• TabICLv2: A better, faster, scalable, and open tabular foundation model
• TabPrep: Closing the Feature Engineering Gap in Tabular Benchmarks
• A Closer Look at TabPFN v2: Understanding Its Strengths and Extending Its Capabilities
• LimiX: Unleashing Structured-Data Modeling Capability for Generalist Intelligence

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