benedekrozemberczki/awesome-decision-tree-papers
A curated list of research papers on decision trees, classification, and regression algorithms with implementations from top ML conferences.

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This repository aggregates academic research papers on decision tree methods including classification trees, regression trees, and ensemble variants such as gradient boosting machines, XGBoost, LightGBM, and CatBoost. Papers are sourced from major ML, CV, NLP, and AI venues including NeurIPS, ICML, ICLR, CVPR, ACL, AAAI, and KDD. Each paper entry links to implementations where available.