Machine learning foundations· 2017
CatBoost: unbiased boosting with categorical features
On the reading lists
- #494 in the Top 500 (2026 edition)
- #48 in Machine learning foundations (2026 edition)
The record
- First released
- 2017 (from arXiv 1706.09516)
- Published
- 2018
- Citations
- 7,236 citations, as counted by
Semantic Scholar (non-commercial licence) - Named by
- the chatgpt list only
- Score
- 0.344 · computed rank 494 · consensus 0.075, must-read 0, citations percentile 0.919 (2010s · foundations), awards 0, existing lists 0. Method
Data sources
Catalogue data from OpenAlex (CC0), Crossref (CC0 metadata; no abstracts are shown), arXiv, and Papers With Code (CC BY-SA 4.0), and Semantic Scholar (used under its non-commercial API licence). Each count names its source. See the method.