Machine Learning Tools Comparison Hub
3 papers - avg viability 6.3
Top Papers
- Machine Unlearning in Low-Dimensional Feature Subspace(7.0)
Implementing efficient machine unlearning with LOFT in low-dimensional feature subspaces to enhance privacy and maintain model performance.
- Quality Model for Machine Learning Components(6.0)
A quality model for ML components offering structured requirements management integrated into a tool for enhanced component testing.
- FAMOSE: A ReAct Approach to Automated Feature Discovery(6.0)
FAMOSE leverages ReAct to automate feature engineering, enhancing machine learning model performance for tabular data.