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AixelNet: A Pre-trained Model with Table-aware Adaptation for Structured Data Prediction
Summary: AixelNet: a pre-trained model for heterogeneous tabular prediction that extracts table-level meta-features and uses a multi-predictor backbone to avoid task-specific retraining. A hypernetwork dynamically composes base predictors per table, with regularizers for balanced/diverse usage and sparse updates for efficiency, improving accuracy on 40 tabular tasks versus eight SOTA baselines.
(summarized by gpt-5-mini on Feb 11 2026)
- Paper ID
- 7410
- Venue
- SIGMOD
- Year
- 2026
- Pagerank
- 4.1945683e-05
- Overall Rank
- 10,100 | 29.74%
- DOI
-
10.1145/3769814
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| Rank |
Citing Paper |
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Venue |
Pagerank |
Outgoing Citations (Sorted by Pagerank)
Showing 16 of 16 cited papers.
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