This repository is a curated list of research papers focused on decision, classification, and regression trees, spanning various machine learning, computer vision, and natural language processing conferences. It serves researchers and practitioners interested in the theoretical and applied advancements in tree-based modeling, providing a comprehensive historical overview and pointers to implementations.

How It Works

The collection is organized chronologically by publication year and categorized by the conference where the papers were presented. This structure allows users to trace the evolution of decision tree research and identify key contributions from major academic venues. The inclusion of links to papers and, where available, their corresponding code, facilitates direct access to the research and its practical implementation.

Quick Start & Requirements

This repository is a curated list of papers and does not require installation or execution. It serves as a reference guide.

Highlighted Details

• Comprehensive coverage of decision tree research from 1987 to 2022.
• Papers sourced from top-tier conferences like NeurIPS, ICML, CVPR, ACL, and KDD.
• Includes links to research papers and, where available, associated code implementations.
• Organized by year and conference for easy navigation and historical tracking.

Maintenance & Community

The repository is maintained by benedekrozemberczki. Further community engagement or roadmap details are not specified in the README.

Licensing & Compatibility

The repository is licensed under CC0 Universal, which dedicates the work to the public domain. This license allows for unrestricted use, modification, and distribution, including for commercial purposes.

Limitations & Caveats

The repository is a static collection of links and does not provide any software or tools for direct use. Its value is purely as a curated bibliography.