Preprint
Jul 2026
TabLoRA: Parameter-Efficient Low-Rank Ensemble Learning for Large-Scale Tabular Data
The proposed TabLoRA is a parameter-efficient trainable neural ensemble for large-scale tabular learning that improves the feasibility of neural ensemble learning while preserving much of the benefit of full ensembles.
Jiaqi Luo, Shixin Xu
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