Selecting Baselines for Machine Learning and Optimization Papers
In modern machine learning and optimization research, benchmark comparison has become one of the most influential components of scholarly publication. Whether researchers are proposing a new deep learning architecture, optimization algorithm, intelligent framework, or computational model, the scientific credibility of a contribution is often determined by how appropriately the proposed method is compared against existing…