FeatureLTE: Learning to Estimate Feature Importance
Summary: FeatureLTE: first pre-trained, general-purpose FIS estimator for tabular data. Learns meta-models from ~1k datasets to predict feature importance with quality comparable to SOTA, but up to 339x faster and robust/scalable on large inputs. (summarized by gpt-5.4-mini on May 24 2026)
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Authors
- 1. Tianping Zhang
- 2. Zhaoyang Wang
- 3. Chen Qian
- 4. Jian Li
- 5. Yin Lou
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| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 102 | The Case for Learned Index Structures | 2018 | SIGMOD | 0.00049545203 |
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