SCFF works with a frozen tabular foundation model and no fine-tuning.
Training-free feature folding cuts memory and improves accuracy for wide-table tabular models.
SCFF splits wide tables into core and tail feature groups, reducing peak memory up to 34.3x across six frozen backbones.
Chinese Tech
Tian Zhou · Beverly Jin · Xue Wang · Linxiao Yang · Wenwei Wang · Bingqing Peng · +3 more
Ant Group · Independent Researcher
Research Digest··3 min read
Zhou et al.
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From Ant Group and Independent Researcher
In one line
Support-Compiled Feature Folding lets frozen tabular models use all wide-table features with linear interaction cost, improving accuracy and cutting memory.
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