This repository is a curated list of academic papers on learning-based odometry, covering visual odometry (VO), visual-inertial odometry (VIO), inertial odometry, LiDAR odometry, semantic SLAM, and NeRF SLAM. It is organized as a README with tables detailing paper titles, venues, years, links to papers and code repositories, and short notes on each method. The list includes papers from 2015 to 2026 and is regularly updated with recent contributions. While no code or datasets are provided, the README serves as a comprehensive bibliography for researchers and practitioners in the field. It links to numerous external GitHub repositories and blogs for further exploration.